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1. Universal DNA methylation age across mammalian tissues.

Author: Lu, A, Fei, Z, Haghani, A, Robeck, T, Zoller, J, Li, C, Lowe, R, Yan, Q, Zhang, J, Vu, H, Ablaeva, J, Acosta-Rodriguez, V, Adams, D, Almunia, J, Aloysius, A, Ardehali, R, Arneson, A, Baker, C, Banks, G, Belov, K, Bennett, N, Black, P, Bors, E, Breeze, C, Brooke, R, Brown, J, Carter, G, Caulton, A, Cavin, J, Chakrabarti, L, Chatzistamou, I, Chen, H, Cheng, K, Chiavellini, P, Choi, O, Clarke, S, Cooper, L, Cossette, M, Day, J, DeYoung, J, DiRocco, S, Dold, C, Ehmke, E, Emmons, C, Emmrich, S, Erbay, E, Erlacher-Reid, C, Faulkes, C, Ferguson, S, Flower, J, Gaillard, J, Garde, E, Gerber, L, Gladyshev, V, Gorbunova, V, Goya, R, Grant, M, Green, C, Hales, E, Hanson, M, Hart, D, Haulena, M, Herrick, K, Hogan, A, Hogg, C, Hore, T, Izpisua Belmonte, J, Jasinska, A, Jones, G, Jourdain, E, Kashpur, O, Katcher, H, Katsumata, E, Kaza, V, Kiaris, H, Kobor, M, Kordowitzki, P, Koski, W, Krützen, M, Kwon, S, Larison, B, Lee, S, Lehmann, M, Lemaitre, J, Lim, A, Lin, D, Lindemann, D, Little, T, Macoretta, N, Maddox, D, Matkin, C, Mattison, J, McClure, M, Mergl, J, Meudt, J, Montano, G, Mozhui, K, Munshi-South, J, Naderi, A, and Nagy, M
Subjects: Humans, Mice, Animals, DNA Methylation, Epigenesis, Genetic, Aging, Longevity, Mammals
Abstract: Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals.
Published: 2023

2. Imaging exciton-polariton transport in MoSe2 waveguides

Author: Hu, Fengrui, Luan, Yilong, Scott, M. E., Yan, Jiaqiang, Mandrus, D. G., Xu, Xiaodong, and Fei, Z
Subjects: Physics - Optics, Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: The exciton polariton (EP), a half-light and half-matter quasiparticle, is potentially an important element for future photonic and quantum technologies. It provides both strong light-matter interactions and long-distance propagation that is necessary for applications associated with energy or information transfer. Recently, strongly-coupled cavity EPs at room temperature have been demonstrated in van der Waals (vdW) materials due to their strongly-bound excitons. Here we report a nano-optical imaging study of waveguide EPs in MoSe2, a prototypical vdW semiconductor. The measured propagation length of the EPs is sensitive to the excitation photon energy and reaches over 12 {\mu}m. The polariton wavelength can be conveniently altered from 600 nm down to 300 nm by controlling the waveguide thickness. Furthermore, we found an intriguing mode back-bending dispersion close to the exciton resonance. The observed EPs in vdW semiconductors could be useful in future nanophotonic circuits operating in the near-infrared to visible spectral regions., Comment: 21 pages
Published: 2023
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3. Serum Homer1 is a Novel Biomarker for Predicting the Clinical Outcomes of Acute Ischemic Stroke Patients

Author: Lv W, Ruan Z, Zhang Q, Wei Y, Wu X, Dou YN, Chao W, Fei X, and Fei Z
Subjects: homer1, acute ischemic stroke, biomarker, outcomes, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Weihao Lv,1,&ast; Zhe Ruan,2,&ast; Qianqian Zhang,3,&ast; Yaxuan Wei,4,&ast; Xiuquan Wu,1 Ya-Nan Dou,1 Wangshu Chao,1 Xiaowei Fei,1 Zhou Fei1 1Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China; 2Department of Neurology, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China; 3Department of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, 730070, People’s Republic of China; 4Department of Neurology, Gansu Province Central Hospital, Lanzhou, 730070, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiaowei Fei; Zhou Fei, Xijing Hospital, Air Force Medical University, No. 127, Changle West Road, Xincheng District, Shaanxi, 710032, People’s Republic of China, Tel +86-1882928538, Email xiaowei_fei@fmmu.edu.cn; feizhou@fmmu.edu.cnPurpose: We aim to explore the relationship between Homer1 and the outcomes of AIS patients at 3 months.Patients and Methods: This prospective cohort study was conducted from May 2022 to March 2023. In this study, we investigated the association between serum Homer1 levels by enzyme-linked immunosorbent assay at admission and functional outcomes of patients at 3 months after AIS.Results: Overall, 89 AIS patients (48 good outcomes and 41 poor outcomes) and 83 healthy controls were included. The median serum Homer1 level of patients at admission with poor outcomes was significantly higher than that of patients with good outcomes (39.33 vs 33.15, P< 0.001). Serum Homer1 levels at admission were positively correlated with the severity of AIS (r = 0.488, P< 0.001). The optimal cutoff of serum Homer1 level as an indicator for an auxiliary diagnosis of 3 months functional outcomes was 35.07 pg/mL, with a sensitivity of 75.0% and a specificity of 92.7% (AUC 0.837; 95% CI [0.744– 0.907]; P< 0 0.001). The odds ratio of MRS > 2 predicted by the level of serum Homer1 after 3 months was 1.665 (1.306– 2.122; P< 0.001).Conclusion: Serum concentrations of Homer1 have a high predictive value for neurobehavioral outcomes after acute ischemic stroke. Higher serum Homer1 levels (> 35.07 pg/mL) were positively associated with poor functional outcomes of patients 3 months post-stroke.Keywords: Homer1, acute ischemic stroke, biomarker, outcomes
Published: 2024

4. Neuroprotective Effects of IVIG against Alzheimer’s Disease via Regulation of Antigen Processing and Presentation by MHC Class I Molecules in 3xTg-AD Mice

Author: Fei, Z., Pan, B., Pei, R., Ye, S., Wang, Z., Ma, L., Zhang, R., Li, C., Du, Xi, and Cao, Haijun
Published: 2023
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5. The Association Between Rheumatoid Arthritis and Atrial Fibrillation: Epidemiology, Pathophysiology and Management

Author: Qian Y, Fei Z, and Nian F
Subjects: atrial fibrillation, rheumatoid arthritis, epidemiology, pathophysiology, management, Medicine (General), R5-920
Abstract: Yezhou Qian,1 Zhangli Fei,2 Feige Nian2 1Department of Cardiology, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, People’s Republic of China; 2Department of Rheumatology, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, People’s Republic of ChinaCorrespondence: Feige Nian, Department of Rheumatology, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, No. 1882 Zhong Huan Road, Jiaxing, 314000, People’s Republic of China, Tel +8619884323170, Email 00192649@zjxu.edu.cnAbstract: Atrial fibrillation (AF) is the most common cardiac arrhythmia with a significant increase in morbidity and mortality worldwide. Rheumatoid arthritis (RA), as a systemic inflammatory disease, affecting 0.5– 1.0% of the adult population, is associated with increased incidence of cardiac arrhythmias such as AF. Several epidemiologic studies find that the risk of AF is increased in RA when compared with the general population. Other studies are inconsistent. Considering that inflammation plays an important role in AF, RA may be involved in the occurrence and development of AF. This review summarizes the epidemiology, pathophysiology, and management of AF in patients with RA.Keywords: atrial fibrillation, rheumatoid arthritis, epidemiology, pathophysiology, management
Published: 2023

6. Co-robotic harvest-aid platforms: Real-time control of picker lift heights to maximize harvesting efficiency

Author: Fei, Z and Vougioukas, SG
Subjects: Co-robotic harvesting, Harvest platform, Control, Human-in-the-loop, Agronomy & Agriculture, Agricultural and Veterinary Sciences, Information and Computing Sciences, Engineering
Abstract: Harvest-aid platforms are used in modern orchards to improve manual harvesting efficiency, safety, and ergonomics. Typically, workers stand at pre-set heights on a platform's multi-level deck, and each worker harvests fruits inside a canopy zone that is defined by the lowest and highest reach of the worker's arms. However, fruit distributions are non-uniform, and worker picking speeds vary, thus generating a mismatch between labor demand (incoming fruit rates) and labor supply (fruit picking rates) in each zone; this mismatch limits platform-based harvesting efficiencies. To alleviate this problem, we transformed a conventional harvesting platform into a collaborative robot (co-robot) platform. As the co-robotic platform travels forward, it estimates the incoming fruit distribution using a vision system, it measures each worker's picking speed using instrumented picking bags, and controls the heights of hydraulic lifts that move workers up and down. The model-based control algorithm maximizes the machine's harvesting speed by changing the height at which each worker harvests as a response to incoming fruit load because it matches fruit-picking labor supply and demand. Simulation experiments with pre-recorded fruit distribution data validated the approach and provided efficiency gains under various conditions. Apple-harvesting experiments were also performed in a commercial orchard, where 2307 kg of apples were picked: 1045 kg in variable-height zone harvesting mode, and 1262 kg in fixed zone harvesting mode, with workers at fixed heights that were set by the grower. Variable-height zone harvesting mode throughput was 327.6 kg/h vs. 298.8 kg/h for fixed zone harvesting mode at human-controlled platform moving speed, resulting in an improvement of 9.5%.
Published: 2021

7. Estimation of worker fruit-picking rates with an instrumented picking bag

Author: Fei, Z, Shepard, J, and Vougioukas, SG
Subjects: Calibration, Electronics, Fruit harvesting, Labor, Yield monitor, Agricultural and Veterinary Sciences, Engineering
Abstract: Estimating and recording a worker's picking rate during tree fruit harvesting can provide useful information for better workforce management, orchard platform crew management, and generation of yield maps (in combination with position). A commercial picking bag was instrumented to estimate harvested fruit weight in real-time. All electronics were placed inside an enclosure that was placed between the bag and its shoulder straps, without hindering picking motions. The electronics included two load cells to measure the forces exerted on the straps by the bag and fruits, an Arduino microcontroller, signal conditioning circuits, data storage, wireless communication components, and inertial sensors. Software was developed for data acquisition, filtering, transmission, and storage. Two calibration models were developed to estimate fruit weight. One model (model 2) used inertial sensor data to compensate for the picking bag's angle with respect to gravity direction, while the other model (model 1) did not. Dynamic calibration experiments were performed over the entire weight range of the bag (0 to 20 kg) with reference objects of known weight (baseballs and fresh apples). The weight was divided into three ranges: light load (13 kg). Results showed that model 1 performed slightly better in the light load range, but model 2 was superior in the medium and heavy load ranges, presumably due to bag angle compensation. The best root mean squared error over the entire range was achieved by model 2 and was 0.36 kg (1.8% of bag capacity). In an application case study, two bags were used by workers harvesting from a platform in a commercial apple orchard. From the data, the pickers' harvesting speeds were estimated, and the fruit yield distribution was calculated for one side of a tree row.
Published: 2020

8. Uncertainty Quantification Analysis in the Blade Element Momentum Method

Author: Cao, G., primary, Fei, Z., additional, and Vogel, C.R., additional
Published: 2024
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9. Author Correction: Universal DNA methylation age across mammalian tissues

Author: Lu, A. T., Fei, Z., Haghani, A., Robeck, T. R., Zoller, J. A., Li, C. Z., Lowe, R., Yan, Q., Zhang, J., Vu, H., Ablaeva, J., Acosta-Rodriguez, V. A., Adams, D. M., Almunia, J., Aloysius, A., Ardehali, R., Arneson, A., Baker, C. S., Banks, G., Belov, K., Bennett, N. C., Black, P., Blumstein, D. T., Bors, E. K., Breeze, C. E., Brooke, R. T., Brown, J. L., Carter, G. G., Caulton, A., Cavin, J. M., Chakrabarti, L., Chatzistamou, I., Chen, H., Cheng, K., Chiavellini, P., Choi, O. W., Clarke, S. M., Cooper, L. N., Cossette, M. L., Day, J., DeYoung, J., DiRocco, S., Dold, C., Ehmke, E. E., Emmons, C. K., Emmrich, S., Erbay, E., Erlacher-Reid, C., Faulkes, C. G., Ferguson, S. H., Finno, C. J., Flower, J. E., Gaillard, J. M., Garde, E., Gerber, L., Gladyshev, V. N., Gorbunova, V., Goya, R. G., Grant, M. J., Green, C. B., Hales, E. N., Hanson, M. B., Hart, D. W., Haulena, M., Herrick, K., Hogan, A. N., Hogg, C. J., Hore, T. A., Huang, T., Izpisua Belmonte, J. C., Jasinska, A. J., Jones, G., Jourdain, E., Kashpur, O., Katcher, H., Katsumata, E., Kaza, V., Kiaris, H., Kobor, M. S., Kordowitzki, P., Koski, W. R., Krützen, M., Kwon, S. B., Larison, B., Lee, S. G., Lehmann, M., Lemaitre, J. F., Levine, A. J., Li, C., Li, X., Lim, A. R., Lin, D. T. S., Lindemann, D. M., Little, T. J., Macoretta, N., Maddox, D., Matkin, C. O., Mattison, J. A., McClure, M., Mergl, J., Meudt, J. J., Montano, G. A., Mozhui, K., Munshi-South, J., Naderi, A., Nagy, M., Narayan, P., Nathanielsz, P. W., Nguyen, N. B., Niehrs, C., O’Brien, J. K., O’Tierney Ginn, P., Odom, D. T., Ophir, A. G., Osborn, S., Ostrander, E. A., Parsons, K. M., Paul, K. C., Pellegrini, M., Peters, K. J., Pedersen, A. B., Petersen, J. L., Pietersen, D. W., Pinho, G. M., Plassais, J., Poganik, J. R., Prado, N. A., Reddy, P., Rey, B., Ritz, B. R., Robbins, J., Rodriguez, M., Russell, J., Rydkina, E., Sailer, L. L., Salmon, A. B., Sanghavi, A., Schachtschneider, K. M., Schmitt, D., Schmitt, T., Schomacher, L., Schook, L. B., Sears, K. E., Seifert, A. W., Seluanov, A., Shafer, A. B. A., Shanmuganayagam, D., Shindyapina, A. V., Simmons, M., Singh, K., Sinha, I., Slone, J., Snell, R. G., Soltanmaohammadi, E., Spangler, M. L., Spriggs, M. C., Staggs, L., Stedman, N., Steinman, K. J., Stewart, D. T., Sugrue, V. J., Szladovits, B., Takahashi, J. S., Takasugi, M., Teeling, E. C., Thompson, M. J., Van Bonn, B., Vernes, S. C., Villar, D., Vinters, H. V., Wallingford, M. C., Wang, N., Wayne, R. K., Wilkinson, G. S., Williams, C. K., Williams, R. W., Yang, X. W., Yao, M., Young, B. G., Zhang, B., Zhang, Z., Zhao, P., Zhao, Y., Zhou, W., Zimmermann, J., Ernst, J., Raj, K., and Horvath, S.
Published: 2023
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10. Clinical Trials of Liposomes in Children’s Anticancer Therapy: A Comprehensive Analysis of Trials Registered on ClinicalTrials.gov

Author: Feng Z, Gu Y, Yuan M, Xiao R, and Fei Z
Subjects: liposomes, liposomal drug, cancer, children anticancer therapy, clinical trials, Medicine (General), R5-920
Abstract: Zhaosong Feng,1 Yuyang Gu,2 Mengping Yuan,3 Renzhong Xiao,4 Zhenghua Fei2 1Pharmacy Department, Jianhu People’s Hospital, Jianhu, Jiangsu Province, 224700, People’s Republic of China; 2Department of Oncology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, People’s Republic of China; 3Department of Gastroenterology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, People’s Republic of China; 4R&D Center, Hunan Royal Pharmaceutical Technology Co., Ltd., Changsha, Hunan Province, 410000, People’s Republic of ChinaCorrespondence: Renzhong Xiao, R&D Center, Hunan Royal Pharmaceutical Technology Co., Ltd., Changsha City, Hunan Province, 410000, People’s Republic of China, Email jimmy841228@163.com Zhenghua Fei, Department of Oncology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, People’s Republic of China, Email feizhenghua@wzhospital.cnObjective: Clinical trials have become essential for driving the development of medicine. However, little is known about the current status of clinical trials on liposomes in children’s anticancer therapy (LCAT). This study aimed to synthesize current finding from clinical trials of LCAT in ClinicalTrials.gov.Methods: A cross-sectional descriptive study of clinical trials on LCAT was conducted, using studies registered on ClinicalTrials.gov through December 30, 2021.Results: A total of 74 eligible trials were identified, accounting for 4.8% (74/1552) of all trials on liposomes for cancer therapy. Among these trials, 70 (94.6%) were interventional trials, and the remaining 4 (5.4%) were observational trials. Of the 70 interventional trials, 63 (90.0%) were for treatment, 48.6% were involving unlabeled allocations, 30.0% were randomized, 52.9% were single group assignment, 71.4% were without masking, 28.6% were Phase 3 trials, 30.0% were Phase 1 trials, and 24.3% were Phase 2 trials. Furthermore, 17 liposomal drugs for 123 types of cancer were investigated in the interventional trials, and these were mainly focused on organic chemicals (43/70, 61.4%). Of these cancers, the highest proportion was leukemia (15.4%), followed by lymphoma (9.8%) and ovarian cancer (8.9%).Conclusion: High quality, adequately powered, masked, appropriately sized, and randomized clinical trials represent the critical priorities for conducting a high-quality clinical trial. However, most of these trials for LCAT were non-randomized, single group assignment, and non-blinded interventional trials of small scale, with various eligibility criteria and outcome measures. Our analysis highlights the need for improvement in the completeness of study designs curated on clinicalTrials.gov. We urge for decision-makers to avoid adopting entrenched positions about the study design of cancer clinical trials to avoid this problem. As such, tackling the problematic challenges related to cancer and designing efficient trials for cancer requires developing and applying new approaches and multiple strategies.Keywords: liposomes, liposomal drug, cancer, children anticancer therapy, clinical trials
Published: 2022

11. Comparing the Efficacy of Articulating Spacers in Two-Stage Revision for Periprosthetic Joint Infection Following Total Knee Arthroplasty: All-Cement Spacers vs Sterilized Replanted Metal-Polyethylene Spacers

Author: Fei Z, Zhang Z, Wang Y, Zhang H, and Xiang S
Subjects: total knee arthroplasty, periprosthetic joint infection, articulating spacer., Medicine (General), R5-920
Abstract: Zhixuan Fei,1,2 Zian Zhang,1 Yingzhen Wang,1 Haining Zhang,1 Shuai Xiang1 1Department of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China; 2Qingdao University, Medical Department, Qingdao, People’s Republic of ChinaCorrespondence: Shuai Xiang, Department of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China, Email 15169093669@163.comPurpose: Two-stage revision is the most common treatment for periprosthetic joint infection (PJI) following total knee arthroplasty (TKA). Few studies have compared the clinical efficacy of different articulating spacers. This study compared the outcomes of all-cement articulating spacers and sterilized replanted metal-polyethylene articulating spacers for PJI following TKA.Patients and Methods: In this retrospective observational study, 47 patients who received two-stage revision for PJI following TKA between 2006 and 2020 in our hospital were included. Patients were categorized as receiving an all-cement articulating spacer or a sterilized replanted metal-polyethylene articulating spacer in exclusion. Data on demographics, surgical information, and outcomes were collected in 2021.Results: Forty-seven spacers were identified: all-cement spacer was noted in 23 patients and sterilized replanted spacer in 24. Patients in the all-cement spacer group had shorter operation time (155.87 ± 33.12 vs 189.79 ± 51.21 min; P = 0.0102) and less blood loss (845.22 ± 525.92 vs 1114.50 ± 547.81 mL; P = 0.0427) in exclusion. Patients in the sterilized replanted spacer group had superior interval range of motion (ROM; 61.00 ± 31.94° vs 31.75 ± 33.38°; P = 0.0072), postoperative ROM (85.00 ± 11.11° vs 77.37 ± 9.18°; P = 0.0329) as compared to all-cement spacers, but there was no difference in infection control between 2 groups.Conclusion: The two types of spacers had no difference in the reinfection rate, indicating that both articulating spacers are safe and effective for 2-stage revision. Considering ROM of knee joint, bone loss and cost, sterilized replanted metal-polyethylene spacers are preferred in the treatment of PJI.Keywords: total knee arthroplasty, periprosthetic joint infection, articulating spacer
Published: 2022

12. Efficient computation of cable electromagnetic compatibility problems with parametric uncertainty

Author: Fei, Z., Huang, Yi, and Zhou, Jiafeng
Subjects: 621.3
Abstract: Cables are heavily used to transmit power and signals in various systems. However, due to the susceptibility of cable to conducted and radiated emissions, unintended response could be provoked in the cable, and therefore, degrade the system operation. This is referred to as the cable electromagnetic compatibility (EMC) problems. Deterministic simulations based on the nominal values of system variables are usually performed to predict the possible malfunction. However, the variables characterising the cable system are naturally random due to, e.g. manufacturing tolerance. As a result of the systemic uncertainty, the induced interference in the cable also becomes a random observable. Therefore, the statistical description of the cable interference is a more reasonable outcome for assessing the system risk. Accordingly, stochastic approaches are needed to produce the required statistical outcome. The conventional statistical approach to quantify the uncertainty of the system response is the Monte-Carlo (MC) method. However, the computational cost of the MC method could become overly expensive when dealing with a large number of random variables. Thus, the cable EMC problems in large platforms with multiple uncertainty sources cannot be efficiently solved using the MC method. Clearly, an efficient statistical approach needs to be sought to solve the challenging cable EMC problems in the real world. Very recently, the stochastic reduced order model (SROM) method was proposed in the field of mechanical engineering, and is known to have merits such as the non-intrusiveness feature and superior efficiency. Therefore, the potential of applying the SROM method for cable EMC problems is very promising, and thoroughly investigated in this thesis. This thesis presents a comprehensive study of the cable EMC problems. The contributions of this thesis are mainly twofold, comprising the investigation of cable interference caused by: (1) the conducted emission (mainly at intra-system level), and (2) the radiated emission when exposed to incident electromagnetic fields. In the case of parametric uncertainty, the statistical analysis of the induced interference is efficiently performed using the SROM method. Specifically, the first main contribution of this thesis is dedicated to the study of crosstalk phenomenon, i.e., the inference induced to a wire by nearby wires in the cable. A parametric study is performed to investigate the effect (i.e., by increasing or decreasing) of the cable configurational changes on the crosstalk variation. The result can also be used to suggest factors causing excessive crosstalk. Under the cable parametric uncertainty, the statistics of crosstalk is successfully predicted using the SROM method. The efficiency of the statistical analysis using the SROM method and its ease of implementation are clearly demonstrated, compared to the conventional MC method and another state-of-the-art statistical approach referred to as the stochastic collocation (SC) method. The sensitivity of crosstalk to different cable variables is efficiently quantified using the SROM method, and then ranked. With this ranking, the feasibility of reducing the complexity of stochastic EMC problems by ignoring weak parametric uncertainties is explored. The second significant contribution of this thesis is the efficient uncertainty quantification of the interference in the cable caused by random electromagnetic field illumination. The most complex scenario where the incident electromagnetic wave is assumed to be fully random is chosen for investigation. As a response to the random illumination, the statistics of the interference (i.e., the induced current) in the cable is efficiently obtained using the SROM method. The computational cost of the SROM method is shown to be significantly reduced by orders of magnitude, compared to those of the MC and SC methods. The result demonstrates the potential of the SROM method for the general problems of the cable system response to the random radiation field. Overall, the research presented in this thesis has successfully advanced the uncertainty propagation techniques for EMC problems, especially in the case of the cable interference. Based on the performance discussion, this thesis has also provided an in-depth knowledge about the merits and disadvantages of different stochastic methods, which helps EMC engineers perform the efficient statistical analysis for their specific problems.
Published: 2018
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13. Rhizosphere microbiomes derived from vermicompost alter gene expression and regulatory pathways in tomato (Solanum lycopersicum, L.).

Author: Garcia, J., Moravek, M., Fish, T., Thannhauser, T., Fei, Z., Sparks, J. P., Giovannoni, J., and Kao-Kniffin, J.
Subjects: TOMATOES, RHIZOSPHERE microbiology, GENE expression, REGULATOR genes, VERMICOMPOSTING, RHIZOSPHERE
Abstract: The gut microbiome of worms from composting facilities potentially harbors organisms that are beneficial to plant growth and development. In this experiment, we sought to examine the potential impacts of rhizosphere microbiomes derived from Eisenia fetida worm castings (i.e. vermicompost) on tomato (Solanum lycopersicum, L.) plant growth and physiology. Our experiment consisted of a greenhouse trial lasting 17 weeks total in which tomato plants were grown with one of three inoculant treatments: a microbial inoculant created from vermicompost (V), a microbial inoculant created from sterilized vermicompost (SV), and a no-compost control inoculant (C). We hypothesized that living microbiomes from the vermicompost inoculant treatment would enhance host plant growth and gene expression profiles compared to plants grown in sterile and control treatments. Our data showed that bacterial community composition was significantly altered in tomato rhizospheres, but fungal community composition was highly variable in each treatment. Plant phenotypes that were significantly enhanced in the vermicompost and sterile vermicompost treatments, compared to the control, included aboveground biomass and foliar δ15N nitrogen. RNA sequencing revealed distinct gene expression changes in the vermicompost treatment, including upregulation of nutrient transporter genes such as Solyc06g074995 (high affinity nitrate transporter), which exhibited a 250.2-fold increase in expression in the vermicompost treatment compared to both the sterile vermicompost and control treatments. The plant transcriptome data suggest that rhizosphere microbiomes derived from vermicompost can influence tomato gene expression and growth-related regulatory pathways, which highlights the value of RNA sequencing in uncovering molecular responses in plant microbiome studies. [ABSTRACT FROM AUTHOR]
Published: 2024
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14. Accepting Immunotherapy After Multiline Treatment Failure: An Exploration of the Anxiety and Depression in Patients with Advanced Cancer Experience

Author: Xie Q, Sun C, Fei Z, and Yang X
Subjects: anxiety, depression, cancer, immunotherapy, quality of life, Medicine (General), R5-920
Abstract: Qingqing Xie,1 Caixia Sun,2 Zhenghua Fei,1 Xujing Yang1 1Department of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 2Department of Nursing, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of ChinaCorrespondence: Xujing YangDepartment of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, No. 2 Fuxue Lane, Wenzhou, 325000, People’s Republic of ChinaEmail wzyyysj7979@126.comBackground: Tumor immunotherapy is a promising therapeutic strategy for patients with advanced cancers, and some tumors have profound and durable tumor regression. However, immunotherapy is still in the clinical trial stage with elusive long-term effects and complications as a new strategy. It is unclear whether patients possess an accurate understanding of the clinical benefits associated with these agents.Objective: To investigate the anxiety and depression of patients with advanced cancer who received immunotherapy using programmed death-1 or programmed death-ligand 1 after multiline treatment failure, explore the influencing factors, and provide a reference for clinical medical staff and psychological support for patients.Methods: The Hospital Anxiety and Depression Scale was used to calculate the anxiety and depression scores before and after 1, 2, and 3 courses of treatment, respectively. The patients with anxiety and depression were counted. Purposive sampling was used to conduct face-to-face semi-structured interviews with 21 patients to find out the reasons. The obtained data were analyzed and collated using Colaizzi’s phenomenological method.Results: One hundred and twenty-six patients with advanced cancers were included in the study. Before and after 1, 2 and 3 courses of treatment, 18.26%, 23.0%, 50% and 54% of patients suffered from anxiety and depression, respectively. The proportion of patients with anxiety and depression during immunotherapy kept increasing, mainly due to therapeutic efficacy below expectation, lack of timely information after treatment, lack of awareness of treatment and drugs, and lack of family and social support.Conclusion: Patients with advanced tumors after multiline treatment failure are susceptible to anxiety and depression during immunotherapy. It is necessary to test the emotional state of patients in time and carry out early intervention. Nursing staffs and medical staffs should adopt personalized measures to meet the psychological needs of patients.Keywords: anxiety, depression, cancer, immunotherapy, quality of life
Published: 2022

15. Real-Space Imaging of the Tailored Plasmons in Twisted Bilayer Graphene

Author: Hu, F, Das, Suprem R, Luan, Y, Chung, T-F, Chen, YP, and Fei, Z
Subjects: Mathematical Sciences, Physical Sciences, Engineering, General Physics
Abstract: We report a systematic plasmonic study of twisted bilayer graphene (TBLG)-two graphene layers stacked with a twist angle. Through real-space nanoimaging of TBLG single crystals with a wide distribution of twist angles, we find that TBLG supports confined infrared plasmons that are sensitively dependent on the twist angle. At small twist angles, TBLG has a plasmon wavelength comparable to that of single-layer graphene. At larger twist angles, the plasmon wavelength of TBLG increases significantly with apparently lower damping. Further analysis and modeling indicate that the observed twist-angle dependence of TBLG plasmons in the Dirac linear regime is mainly due to the Fermi-velocity renormalization, a direct consequence of interlayer electronic coupling. Our work unveils the tailored plasmonic characteristics of TBLG and deepens our understanding of the intriguing nano-optical physics in novel van der Waals coupled two-dimensional materials.
Published: 2017

16. Nano-infrared imaging of epitaxial graphene on SiC revealing doping and thickness inhomogeneities

Author: Fralaide, M., primary, Chi, Y., additional, Iyer, R. B., additional, Luan, Y., additional, Chen, S., additional, Shinar, R., additional, Shinar, J., additional, Kolmer, M., additional, Tringides, M. C., additional, and Fei, Z., additional
Published: 2024
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17. Nano-optical imaging of WSe2 waveguide modes revealing light-exciton interactions

Author: Fei, Z., Scott, M. E., Gosztola, D. J., Foley IV, J. J., Yan, J., Mandrus, D. G., Wen, H., Zhou, P., Zhang, D. W., Sun, Y., Guest, J. R., Gray, S. K., Bao, W., Wiederrecht, G. P., and Xu, X.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: We report on nano-optical imaging study of WSe2 thin flakes with the scanning near-field optical microscopy (NSOM). The NSOM technique allows us to visualize in real space various waveguide photon modes inside WSe2. By tuning the excitation laser energy, we are able to map the entire dispersion of these waveguide modes both above and below the A exciton energy of WSe2. We found that all the modes interact strongly with WSe2 excitons. The outcome of the interaction is that the observed waveguide modes shift to higher momenta right below the A exciton energy. At higher energies, on the other hand, these modes are strongly damped due to adjacent B excitons or band edge absorptions. The mode-shifting phenomena are consistent with polariton formation in WSe2., Comment: 19 pages, 12 figures
Published: 2016
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18. Edge and surface plasmons in graphene nanoribbons

Author: Fei, Z., Goldflam, M. D., Wu, J. -S., Dai, S., Wagner, M., McLeod, A. S., Liu, M. K., Post, K. W., Zhu, S., Janssen, G. C. A. M., Fogler, M. M., and Basov, D. N.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: We report on nano-infrared (IR) imaging studies of confined plasmon modes inside patterned graphene nanoribbons (GNRs) fabricated with high-quality chemical-vapor-deposited (CVD) graphene on Al2O3 substrates. The confined geometry of these ribbons leads to distinct mode patterns and strong field enhancement, both of which evolve systematically with the ribbon width. In addition, spectroscopic nano-imaging in mid-infrared 850-1450 cm-1 allowed us to evaluate the effect of the substrate phonons on the plasmon damping. Furthermore, we observed edge plasmons: peculiar one-dimensional modes propagating strictly along the edges of our patterned graphene nanostructures., Comment: 10 pages, 8 figures
Published: 2015
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19. Imaging the Localized Plasmon Resonance Modes in Graphene Nanoribbons

Author: Hu, F, Luan, Y, Fei, Z, Palubski, IZ, Goldflam, MD, Dai, S, Wu, J-S, Post, KW, Janssen, GCAM, Fogler, MM, and Basov, DN
Subjects: s-SNOM, graphene nanoribbons, surface plasmon polariton, surface plasmon resonance, asymmetric fringes, Nanoscience & Nanotechnology
Abstract: We report a nanoinfrared (IR) imaging study of the localized plasmon resonance modes of graphene nanoribbons (GNRs) using a scattering-type scanning near-field optical microscope (s-SNOM). By comparing the imaging data of GNRs that are aligned parallel and perpendicular to the in-plane component of the excitation laser field, we observed symmetric and asymmetric plasmonic interference fringes, respectively. Theoretical analysis indicates that the asymmetric fringes are formed due to the interplay between the localized surface plasmon resonance (SPR) mode excited by the GNRs and the propagative surface plasmon polariton (SPP) mode launched by the s-SNOM tip. With rigorous simulations, we reproduce the observed fringe patterns and address quantitatively the role of the s-SNOM tip on both the SPR and SPP modes. Furthermore, we have seen real-space signatures of both the dipole and higher-order SPR modes by varying the ribbon width.
Published: 2017

20. Efficiency of Launching Highly Confined Polaritons by Infrared Light Incident on a Hyperbolic Material

Author: Dai, S, Ma, Q, Yang, Y, Rosenfeld, J, Goldflam, MD, McLeod, A, Sun, Z, Andersen, TI, Fei, Z, Liu, M, Shao, Y, Watanabe, K, Taniguchi, T, Thiemens, M, Keilmann, F, Jarillo-Herrero, P, Fogler, MM, and Basov, DN
Subjects: Polariton launching hyperbolic materials, hexagonal boron nitride, nano-optics, van der. Waals materials, cond-mat.mes-hall, MD Multidisciplinary, Nanoscience & Nanotechnology
Abstract: We investigated phonon-polaritons in hexagonal boron nitride - a naturally hyperbolic van der Waals material - by means of the scattering-type scanning near-field optical microscopy. Real-space nanoimages we have obtained detail how the polaritons are launched when the light incident on a thin hexagonal boron nitride slab is scattered by various intrinsic and extrinsic inhomogeneities, including sample edges, metallic nanodisks deposited on its top surface, random defects, and surface impurities. The scanned tip of the near-field microscope is itself a polariton launcher whose efficiency proves to be superior to all the other types of polariton launchers we studied. Our work may inform future development of polaritonic nanodevices as well as fundamental studies of collective modes in van der Waals materials.
Published: 2017

21. Ultraconfined Plasmonic Hotspots Inside Graphene Nanobubbles.

Author: Fei, Z, Foley, JJ, Gannett, W, Liu, MK, Dai, S, Ni, GX, Zettl, A, Fogler, MM, Wiederrecht, GP, Gray, SK, and Basov, DN
Subjects: FDTD simulation, Graphene nanobubbles, heterostructures, nanoinfrared imaging, plasmon hotspots, Nanoscience & Nanotechnology
Abstract: We report on a nanoinfrared (IR) imaging study of ultraconfined plasmonic hotspots inside graphene nanobubbles formed in graphene/hexagonal boron nitride (hBN) heterostructures. The volume of these plasmonic hotspots is more than one-million-times smaller than what could be achieved by free-space IR photons, and their real-space distributions are controlled by the sizes and shapes of the nanobubbles. Theoretical analysis indicates that the observed plasmonic hotspots are formed due to a significant increase of the local plasmon wavelength in the nanobubble regions. Such an increase is attributed to the high sensitivity of graphene plasmons to its dielectric environment. Our work presents a novel scheme for plasmonic hotspot formation and sheds light on future applications of graphene nanobubbles for plasmon-enhanced IR spectroscopy.
Published: 2016

22. Sensing Aided Covert Communications: Turning Interference into Allies

Author: Wang, X, Fei, Z, Liu, P, Zhang, JA, Wu, Q, Wu, N, Wang, X, Fei, Z, Liu, P, Zhang, JA, Wu, Q, and Wu, N
Abstract: In this paper, we investigate the realization of covert communication in a general radar-communication cooperation system, which includes integrated sensing and communications as a special example. We explore the possibility of utilizing the sensing ability of radar to track and jam the aerial adversary target attempting to detect the transmission. Based on the echoes from the target, the extended Kalman filtering technique is employed to predict its trajectory as well as the corresponding channels. Depending on the maneuvering altitude of adversary target, two channel state information (CSI) models are considered, with the aim of maximizing the covert transmission rate by jointly designing the radar waveform and communication transmit beamforming vector based on the constructed channels. For perfect CSI under the free-space propagation model, by decoupling the joint design, we propose an efficient algorithm to guarantee that the target cannot detect the transmission. For imperfect CSI due to the multi-path components, a robust joint transmission scheme is proposed based on the property of the Kullback-Leibler divergence. The convergence behaviour, tracking MSE, false alarm and missed detection probabilities, and covert transmission rate are evaluated. Simulation results show that the proposed algorithms achieve accurate tracking. For both channel models, the proposed sensing-assisted covert transmission design is able to guarantee the covertness, and significantly outperforms the conventional schemes.
Published: 2024

23. Revealing the Trade-Off in ISAC Systems: The KL Divergence Perspective

Author: Fei, Z, Tang, S, Wang, X, Xia, F, Liu, F, Zhang, JA, Fei, Z, Tang, S, Wang, X, Xia, F, Liu, F, and Zhang, JA
Abstract: Integrated sensing and communication (ISAC) is regarded as a promising technique for sixth-generation (6G) communication network. In this letter, we investigate the Pareto bound of the ISAC system in terms of a unified Kullback-Leibler divergence (KLD) performance measure. We firstly use KLD to analyze the detection performance of communication and sensing in the ISAC system. Thereafter, we investigate the impact of constellation and beamforming design on the Pareto bound via deep learning and semi-definite relaxation (SDR) techniques. Simulation results show the trade-off between sensing and communication performance in terms of bit error rate (BER) and probability of detection (PD) under different parameter settings.
Published: 2024

24. IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs

Author: Bao, Z, Borovica-Gajic, R, Qiu, R, Choudhury, F, Yang, Z, Xu, K, Fei, Z, Yu, J, Kong, Y, Wang, X, Zhang, W, Bao, Z, Borovica-Gajic, R, Qiu, R, Choudhury, F, Yang, Z, Xu, K, Fei, Z, Yu, J, Kong, Y, Wang, X, and Zhang, W
Published: 2024

25. Real-time monitoring for the next core-collapse supernova in JUNO

Author: Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de André, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Beretta, M, Bergnoli, A, Bick, D, Bieger, L, Biktemerova, S, Birkenfeld, T, Morton-Blake, I, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callier, S, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Cerrone, V, Chan, C, Chang, J, Chang, Y, Chatrabhuti, A, Chen, C, Chen, G, Chen, P, Chen, S, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chepurnov, A, Chetverikov, A, Chiesa, D, Chimenti, P, Chin, Y, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Molla, M, Lorenzo, S, Coppi, A, Corti, D, Csakli, S, Corso, F, Dalager, O, Datta, J, Taille, C, Deng, Z, Ding, X, Ding, Y, Dirgantara, B, Dittrich, C, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dugas, K, Dusini, S, Duyang, H, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Göttel, A, Grassi, M, Gromov, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, W, Guo, X, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, J, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Imbert, L, Ioannisian, A, Isocrate, R, Jafar, A, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, C, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khan, A, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kuleshov, S, Kutovskiy, N, Labit, L, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, J, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Ling, X, Lippi, I, Liu, C, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Liu, Z, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lu, X, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, J, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meng, Y, Meraviglia, A, Meregaglia, A, Meroni, E, Meyhöfer, D, Miramonti, L, Mohan, N, Montuschi, M, Müller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Nikolaev, A, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qi, X, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Qu, M, Qu, Z, Ranucci, G, Rasheed, R, Re, A, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rientong, K, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sandanayake, D, Sangka, A, Sava, G, Sawangwit, U, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settimo, M, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Šimkovic, F, Singhal, A, Sirignano, C, Siripak, J, Sisti, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Šrámek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Takenaka, A, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Tortorici, F, Treskov, K, Triossi, A, Triozzi, R, Trzaska, W, Tung, Y, Tuve, C, Ushakov, N, Vedin, V, Venettacci, C, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, von Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wirth, R, Wonsak, B, Wu, D, Wu, Q, Wu, Y, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, F, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, X, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, X, Yan, Y, Yang, C, Yang, J, Yang, L, Yang, X, Yang, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, G, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, F, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, H, Zhang, J, Zhang, L, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Züfle, J, Null, N, Abusleme, Angel, Adam, Thomas, Ahmad, Shakeel, Ahmed, Rizwan, Aiello, Sebastiano, Akram, Muhammad, Aleem, Abid, An, Fengpeng, An, Qi, Andronico, Giuseppe, Anfimov, Nikolay, Antonelli, Vito, Antoshkina, Tatiana, Asavapibhop, Burin, de André, João Pedro Athayde Marcondes, Auguste, Didier, Bai, Weidong, Balashov, Nikita, Baldini, Wander, Barresi, Andrea, Basilico, Davide, Baussan, Eric, Bellato, Marco, Beretta, Marco, Bergnoli, Antonio, Bick, Daniel, Bieger, Lukas, Biktemerova, Svetlana, Birkenfeld, Thilo, Morton-Blake, Iwan, Blum, David, Blyth, Simon, Bolshakova, Anastasia, Bongrand, Mathieu, Bordereau, Clément, Breton, Dominique, Brigatti, Augusto, Brugnera, Riccardo, Bruno, Riccardo, Budano, Antonio, Busto, Jose, Cabrera, Anatael, Caccianiga, Barbara, Cai, Hao, Cai, Xiao, Cai, Yanke, Cai, Zhiyan, Callier, Stéphane, Cammi, Antonio, Campeny, Agustin, Cao, Chuanya, Cao, Guofu, Cao, Jun, Caruso, Rossella, Cerna, Cédric, Cerrone, Vanessa, Chan, Chi, Chang, Jinfan, Chang, Yun, Chatrabhuti, Auttakit, Chen, Chao, Chen, Guoming, Chen, Pingping, Chen, Shaomin, Chen, Yixue, Chen, Yu, Chen, Zhangming, Chen, Zhiyuan, Chen, Zikang, Cheng, Jie, Cheng, Yaping, Cheng, Yu Chin, Chepurnov, Alexander, Chetverikov, Alexey, Chiesa, Davide, Chimenti, Pietro, Chin, Yen-Ting, Chu, Ziliang, Chukanov, Artem, Claverie, Gérard, Clementi, Catia, Clerbaux, Barbara, Molla, Marta Colomer, Lorenzo, Selma Conforti Di, Coppi, Alberto, Corti, Daniele, Csakli, Simon, Corso, Flavio Dal, Dalager, Olivia, Datta, Jaydeep, Taille, Christophe De La, Deng, Zhi, Deng, Ziyan, Ding, Xiaoyu, Ding, Xuefeng, Ding, Yayun, Dirgantara, Bayu, Dittrich, Carsten, Dmitrievsky, Sergey, Dohnal, Tadeas, Dolzhikov, Dmitry, Donchenko, Georgy, Dong, Jianmeng, Doroshkevich, Evgeny, Dou, Wei, Dracos, Marcos, Druillole, Frédéric, Du, Ran, Du, Shuxian, Dugas, Katherine, Dusini, Stefano, Duyang, Hongyue, Eck, Jessica, Enqvist, Timo, Fabbri, Andrea, Fahrendholz, Ulrike, Fan, Lei, Fang, Jian, Fang, Wenxing, Fargetta, Marco, Fedoseev, Dmitry, Fei, Zhengyong, Feng, Li-Cheng, Feng, Qichun, Ferraro, Federico, Fournier, Amélie, Gan, Haonan, Gao, Feng, Garfagnini, Alberto, Gavrikov, Arsenii, Giammarchi, Marco, Giudice, Nunzio, Gonchar, Maxim, Gong, Guanghua, Gong, Hui, Gornushkin, Yuri, Göttel, Alexandre, Grassi, Marco, Gromov, Maxim, Gromov, Vasily, Gu, Minghao, Gu, Xiaofei, Gu, Yu, Guan, Mengyun, Guan, Yuduo, Guardone, Nunzio, Guo, Cong, Guo, Wanlei, Guo, Xinheng, Hagner, Caren, Han, Ran, Han, Yang, He, Miao, He, Wei, Heinz, Tobias, Hellmuth, Patrick, Heng, Yuekun, Herrera, Rafael, Hor, YuenKeung, Hou, Shaojing, Hsiung, Yee, Hu, Bei-Zhen, Hu, Hang, Hu, Jianrun, Hu, Jun, Hu, Shouyang, Hu, Tao, Hu, Yuxiang, Hu, Zhuojun, Huang, Guihong, Huang, Hanxiong, Huang, Jinhao, Huang, Junting, Huang, Kaixuan, Huang, Wenhao, Huang, Xin, Huang, Xingtao, Huang, Yongbo, Hui, Jiaqi, Huo, Lei, Huo, Wenju, Huss, Cédric, Hussain, Safeer, Imbert, Leonard, Ioannisian, Ara, Isocrate, Roberto, Jafar, Arshak, Jelmini, Beatrice, Jeria, Ignacio, Ji, Xiaolu, Jia, Huihui, Jia, Junji, Jian, Siyu, Jiang, Cailian, Jiang, Di, Jiang, Wei, Jiang, Xiaoshan, Jing, Xiaoping, Jollet, Cécile, Kampmann, Philipp, Kang, Li, Karaparambil, Rebin, Kazarian, Narine, Khan, Ali, Khatun, Amina, Khosonthongkee, Khanchai, Korablev, Denis, Kouzakov, Konstantin, Krasnoperov, Alexey, Kuleshov, Sergey, Kutovskiy, Nikolay, Labit, Loïc, Lachenmaier, Tobias, Landini, Cecilia, Leblanc, Sébastien, Lebrin, Victor, Lefevre, Frederic, Lei, Ruiting, Leitner, Rupert, Leung, Jason, Li, Demin, Li, Fei, Li, Fule, Li, Gaosong, Li, Huiling, Li, Jiajun, Li, Mengzhao, Li, Min, Li, Nan, Li, Qingjiang, Li, Ruhui, Li, Rui, Li, Shanfeng, Li, Tao, Li, Teng, Li, Weidong, Li, Weiguo, Li, Xiaomei, Li, Xiaonan, Li, Xinglong, Li, Yi, Li, Yichen, Li, Yufeng, Li, Zhaohan, Li, Zhibing, Li, Ziyuan, Li, Zonghai, Liang, Hao, Liao, Jiajun, Limphirat, Ayut, Lin, Guey-Lin, Lin, Shengxin, Lin, Tao, Ling, Jiajie, Ling, Xin, Lippi, Ivano, Liu, Caimei, Liu, Fang, Liu, Fengcheng, Liu, Haidong, Liu, Haotian, Liu, Hongbang, Liu, Hongjuan, Liu, Hongtao, Liu, Hui, Liu, Jianglai, Liu, Jiaxi, Liu, Jinchang, Liu, Min, Liu, Qian, Liu, Qin, Liu, Runxuan, Liu, Shenghui, Liu, Shubin, Liu, Shulin, Liu, Xiaowei, Liu, Xiwen, Liu, Xuewei, Liu, Yankai, Liu, Zhen, Lokhov, Alexey, Lombardi, Paolo, Lombardo, Claudio, Loo, Kai, Lu, Chuan, Lu, Haoqi, Lu, Jingbin, Lu, Junguang, Lu, Peizhi, Lu, Shuxiang, Lu, Xianguo, Lubsandorzhiev, Bayarto, Lubsandorzhiev, Sultim, Ludhova, Livia, Lukanov, Arslan, Luo, Daibin, Luo, Fengjiao, Luo, Guang, Luo, Jianyi, Luo, Shu, Luo, Wuming, Luo, Xiaojie, Lyashuk, Vladimir, Ma, Bangzheng, Ma, Bing, Ma, Qiumei, Ma, Si, Ma, Xiaoyan, Ma, Xubo, Maalmi, Jihane, Magoni, Marco, Mai, Jingyu, Malyshkin, Yury, Mandujano, Roberto Carlos, Mantovani, Fabio, Mao, Xin, Mao, Yajun, Mari, Stefano M., Marini, Filippo, Martini, Agnese, Mayer, Matthias, Mayilyan, Davit, Mednieks, Ints, Meng, Yue, Meraviglia, Anita, Meregaglia, Anselmo, Meroni, Emanuela, Meyhöfer, David, Miramonti, Lino, Mohan, Nikhil, Montuschi, Michele, Müller, Axel, Nastasi, Massimiliano, Naumov, Dmitry V., Naumova, Elena, Navas-Nicolas, Diana, Nemchenok, Igor, Thi, Minh Thuan Nguyen, Nikolaev, Alexey, Ning, Feipeng, Ning, Zhe, Nunokawa, Hiroshi, Oberauer, Lothar, Ochoa-Ricoux, Juan Pedro, Olshevskiy, Alexander, Orestano, Domizia, Ortica, Fausto, Othegraven, Rainer, Paoloni, Alessandro, Parmeggiano, Sergio, Pei, Yatian, Pelicci, Luca, Peng, Anguo, Peng, Haiping, Peng, Yu, Peng, Zhaoyuan, Perrot, Frédéric, Petitjean, Pierre-Alexandre, Petrucci, Fabrizio, Pilarczyk, Oliver, Rico, Luis Felipe Piñeres, Popov, Artyom, Poussot, Pascal, Previtali, Ezio, Qi, Fazhi, Qi, Ming, Qi, Xiaohui, Qian, Sen, Qian, Xiaohui, Qian, Zhen, Qiao, Hao, Qin, Zhonghua, Qiu, Shoukang, Qu, Manhao, Qu, Zhenning, Ranucci, Gioacchino, Rasheed, Reem, Re, Alessandra, Rebii, Abdel, Redchuk, Mariia, Ren, Bin, Ren, Jie, Ricci, Barbara, Rientong, Komkrit, Rifai, Mariam, Roche, Mathieu, Rodphai, Narongkiat, Romani, Aldo, Roskovec, Bedřich, Ruan, Xichao, Rybnikov, Arseniy, Sadovsky, Andrey, Saggese, Paolo, Sandanayake, Deshan, Sangka, Anut, Sava, Giuseppe, Sawangwit, Utane, Schever, Michaela, Schwab, Cédric, Schweizer, Konstantin, Selyunin, Alexandr, Serafini, Andrea, Settimo, Mariangela, Sharov, Vladislav, Shaydurova, Arina, Shi, Jingyan, Shi, Yanan, Shutov, Vitaly, Sidorenkov, Andrey, Šimkovic, Fedor, Singhal, Apeksha, Sirignano, Chiara, Siripak, Jaruchit, Sisti, Monica, Smirnov, Mikhail, Smirnov, Oleg, Sogo-Bezerra, Thiago, Sokolov, Sergey, Songwadhana, Julanan, Soonthornthum, Boonrucksar, Sotnikov, Albert, Šrámek, Ondřej, Sreethawong, Warintorn, Stahl, Achim, Stanco, Luca, Stankevich, Konstantin, Steiger, Hans, Steinmann, Jochen, Sterr, Tobias, Stock, Matthias Raphael, Strati, Virginia, Studenikin, Alexander, Su, Aoqi, Su, Jun, Sun, Shifeng, Sun, Xilei, Sun, Yongjie, Sun, Yongzhao, Sun, Zhengyang, Suwonjandee, Narumon, Szelezniak, Michal, Takenaka, Akira, Tang, Jian, Tang, Qiang, Tang, Quan, Tang, Xiao, Hariharan, Vidhya Thara, Theisen, Eric, Tietzsch, Alexander, Tkachev, Igor, Tmej, Tomas, Torri, Marco Danilo Claudio, Tortorici, Francesco, Treskov, Konstantin, Triossi, Andrea, Triozzi, Riccardo, Trzaska, Wladyslaw, Tung, Yu-Chen, Tuve, Cristina, Ushakov, Nikita, Vedin, Vadim, Venettacci, Carlo, Verde, Giuseppe, Vialkov, Maxim, Viaud, Benoit, Vollbrecht, Cornelius Moritz, von Sturm, Katharina, Vorobel, Vit, Voronin, Dmitriy, Votano, Lucia, Walker, Pablo, Wang, Caishen, Wang, Chung-Hsiang, Wang, En, Wang, Guoli, Wang, Jian, Wang, Jun, Wang, Li, Wang, Lu, Wang, Meng, Wang, Ruiguang, Wang, Siguang, Wang, Wei, Wang, Wenshuai, Wang, Xi, Wang, Xiangyue, Wang, Yangfu, Wang, Yaoguang, Wang, Yi, Wang, Yifang, Wang, Yuanqing, Wang, Yuyi, Wang, Zhe, Wang, Zheng, Wang, Zhimin, Watcharangkool, Apimook, Wei, Wei, Wei, Wenlu, Wei, Yadong, Wei, Yuehuan, Wen, Kaile, Wen, Liangjian, Weng, Jun, Wiebusch, Christopher, Wirth, Rosmarie, Wonsak, Bjoern, Wu, Diru, Wu, Qun, Wu, Yiyang, Wu, Zhi, Wurm, Michael, Wurtz, Jacques, Wysotzki, Christian, Xi, Yufei, Xia, Dongmei, Xiao, Fei, Xiao, Xiang, Xie, Xiaochuan, Xie, Yuguang, Xie, Zhangquan, Xin, Zhao, Xing, Zhizhong, Xu, Benda, Xu, Cheng, Xu, Donglian, Xu, Fanrong, Xu, Hangkun, Xu, Jilei, Xu, Jing, Xu, Meihang, Xu, Xunjie, Xu, Yin, Xu, Yu, Yan, Baojun, Yan, Qiyu, Yan, Taylor, Yan, Xiongbo, Yan, Yupeng, Yang, Changgen, Yang, Chengfeng, Yang, Jie, Yang, Lei, Yang, Xiaoyu, Yang, Yifan, Yao, Haifeng, Ye, Jiaxuan, Ye, Mei, Ye, Ziping, Yermia, Frédéric, You, Zhengyun, Yu, Boxiang, Yu, Chiye, Yu, Chunxu, Yu, Guojun, Yu, Hongzhao, Yu, Miao, Yu, Xianghui, Yu, Zeyuan, Yu, Zezhong, Yuan, Cenxi, Yuan, Chengzhuo, Yuan, Ying, Yuan, Zhenxiong, Yue, Baobiao, Zafar, Noman, Zavadskyi, Vitalii, Zeng, Fanrui, Zeng, Shan, Zeng, Tingxuan, Zeng, Yuda, Zhan, Liang, Zhang, Aiqiang, Zhang, Bin, Zhang, Binting, Zhang, Feiyang, Zhang, Haosen, Zhang, Honghao, Zhang, Jialiang, Zhang, Jiawen, Zhang, Jie, Zhang, Jingbo, Zhang, Jinnan, ZHANG, Lei, Zhang, Mohan, Zhang, Peng, Zhang, Ping, Zhang, Qingmin, Zhang, Shiqi, Zhang, Shu, Zhang, Shuihan, Zhang, Siyuan, Zhang, Tao, Zhang, Xiaomei, Zhang, Xin, Zhang, Xuantong, Zhang, Yinhong, Zhang, Yiyu, Zhang, Yongpeng, Zhang, Yu, Zhang, Yuanyuan, Zhang, Yumei, Zhang, Zhenyu, Zhang, Zhijian, Zhao, Jie, Zhao, Rong, Zhao, Runze, Zhao, Shujun, Zheng, Dongqin, Zheng, Hua, Zheng, Yangheng, Zhong, Weirong, Zhou, Jing, Zhou, Li, Zhou, Nan, Zhou, Shun, Zhou, Tong, Zhou, Xiang, Zhu, Jingsen, Zhu, Kangfu, Zhu, Kejun, Zhu, Zhihang, Zhuang, Bo, Zhuang, Honglin, Zong, Liang, Zou, Jiaheng, Züfle, Jan, null, null, Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de André, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Beretta, M, Bergnoli, A, Bick, D, Bieger, L, Biktemerova, S, Birkenfeld, T, Morton-Blake, I, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callier, S, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Cerrone, V, Chan, C, Chang, J, Chang, Y, Chatrabhuti, A, Chen, C, Chen, G, Chen, P, Chen, S, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chepurnov, A, Chetverikov, A, Chiesa, D, Chimenti, P, Chin, Y, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Molla, M, Lorenzo, S, Coppi, A, Corti, D, Csakli, S, Corso, F, Dalager, O, Datta, J, Taille, C, Deng, Z, Ding, X, Ding, Y, Dirgantara, B, Dittrich, C, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dugas, K, Dusini, S, Duyang, H, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Göttel, A, Grassi, M, Gromov, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, W, Guo, X, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, J, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Imbert, L, Ioannisian, A, Isocrate, R, Jafar, A, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, C, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khan, A, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kuleshov, S, Kutovskiy, N, Labit, L, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, J, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Ling, X, Lippi, I, Liu, C, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Liu, Z, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lu, X, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, J, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meng, Y, Meraviglia, A, Meregaglia, A, Meroni, E, Meyhöfer, D, Miramonti, L, Mohan, N, Montuschi, M, Müller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Nikolaev, A, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qi, X, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Qu, M, Qu, Z, Ranucci, G, Rasheed, R, Re, A, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rientong, K, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sandanayake, D, Sangka, A, Sava, G, Sawangwit, U, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settimo, M, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Šimkovic, F, Singhal, A, Sirignano, C, Siripak, J, Sisti, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Šrámek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Takenaka, A, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Tortorici, F, Treskov, K, Triossi, A, Triozzi, R, Trzaska, W, Tung, Y, Tuve, C, Ushakov, N, Vedin, V, Venettacci, C, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, von Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wirth, R, Wonsak, B, Wu, D, Wu, Q, Wu, Y, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, F, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, X, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, X, Yan, Y, Yang, C, Yang, J, Yang, L, Yang, X, Yang, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, G, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, F, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, H, Zhang, J, Zhang, L, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Züfle, J, Null, N, Abusleme, Angel, Adam, Thomas, Ahmad, Shakeel, Ahmed, Rizwan, Aiello, Sebastiano, Akram, Muhammad, Aleem, Abid, An, Fengpeng, An, Qi, Andronico, Giuseppe, Anfimov, Nikolay, Antonelli, Vito, Antoshkina, Tatiana, Asavapibhop, Burin, de André, João Pedro Athayde Marcondes, Auguste, Didier, Bai, Weidong, Balashov, Nikita, Baldini, Wander, Barresi, Andrea, Basilico, Davide, Baussan, Eric, Bellato, Marco, Beretta, Marco, Bergnoli, Antonio, Bick, Daniel, Bieger, Lukas, Biktemerova, Svetlana, Birkenfeld, Thilo, Morton-Blake, Iwan, Blum, David, Blyth, Simon, Bolshakova, Anastasia, Bongrand, Mathieu, Bordereau, Clément, Breton, Dominique, Brigatti, Augusto, Brugnera, Riccardo, Bruno, Riccardo, Budano, Antonio, Busto, Jose, Cabrera, Anatael, Caccianiga, Barbara, Cai, Hao, Cai, Xiao, Cai, Yanke, Cai, Zhiyan, Callier, Stéphane, Cammi, Antonio, Campeny, Agustin, Cao, Chuanya, Cao, Guofu, Cao, Jun, Caruso, Rossella, Cerna, Cédric, Cerrone, Vanessa, Chan, Chi, Chang, Jinfan, Chang, Yun, Chatrabhuti, Auttakit, Chen, Chao, Chen, Guoming, Chen, Pingping, Chen, Shaomin, Chen, Yixue, Chen, Yu, Chen, Zhangming, Chen, Zhiyuan, Chen, Zikang, Cheng, Jie, Cheng, Yaping, Cheng, Yu Chin, Chepurnov, Alexander, Chetverikov, Alexey, Chiesa, Davide, Chimenti, Pietro, Chin, Yen-Ting, Chu, Ziliang, Chukanov, Artem, Claverie, Gérard, Clementi, Catia, Clerbaux, Barbara, Molla, Marta Colomer, Lorenzo, Selma Conforti Di, Coppi, Alberto, Corti, Daniele, Csakli, Simon, Corso, Flavio Dal, Dalager, Olivia, Datta, Jaydeep, Taille, Christophe De La, Deng, Zhi, Deng, Ziyan, Ding, Xiaoyu, Ding, Xuefeng, Ding, Yayun, Dirgantara, Bayu, Dittrich, Carsten, Dmitrievsky, Sergey, Dohnal, Tadeas, Dolzhikov, Dmitry, Donchenko, Georgy, Dong, Jianmeng, Doroshkevich, Evgeny, Dou, Wei, Dracos, Marcos, Druillole, Frédéric, Du, Ran, Du, Shuxian, Dugas, Katherine, Dusini, Stefano, Duyang, Hongyue, Eck, Jessica, Enqvist, Timo, Fabbri, Andrea, Fahrendholz, Ulrike, Fan, Lei, Fang, Jian, Fang, Wenxing, Fargetta, Marco, Fedoseev, Dmitry, Fei, Zhengyong, Feng, Li-Cheng, Feng, Qichun, Ferraro, Federico, Fournier, Amélie, Gan, Haonan, Gao, Feng, Garfagnini, Alberto, Gavrikov, Arsenii, Giammarchi, Marco, Giudice, Nunzio, Gonchar, Maxim, Gong, Guanghua, Gong, Hui, Gornushkin, Yuri, Göttel, Alexandre, Grassi, Marco, Gromov, Maxim, Gromov, Vasily, Gu, Minghao, Gu, Xiaofei, Gu, Yu, Guan, Mengyun, Guan, Yuduo, Guardone, Nunzio, Guo, Cong, Guo, Wanlei, Guo, Xinheng, Hagner, Caren, Han, Ran, Han, Yang, He, Miao, He, Wei, Heinz, Tobias, Hellmuth, Patrick, Heng, Yuekun, Herrera, Rafael, Hor, YuenKeung, Hou, Shaojing, Hsiung, Yee, Hu, Bei-Zhen, Hu, Hang, Hu, Jianrun, Hu, Jun, Hu, Shouyang, Hu, Tao, Hu, Yuxiang, Hu, Zhuojun, Huang, Guihong, Huang, Hanxiong, Huang, Jinhao, Huang, Junting, Huang, Kaixuan, Huang, Wenhao, Huang, Xin, Huang, Xingtao, Huang, Yongbo, Hui, Jiaqi, Huo, Lei, Huo, Wenju, Huss, Cédric, Hussain, Safeer, Imbert, Leonard, Ioannisian, Ara, Isocrate, Roberto, Jafar, Arshak, Jelmini, Beatrice, Jeria, Ignacio, Ji, Xiaolu, Jia, Huihui, Jia, Junji, Jian, Siyu, Jiang, Cailian, Jiang, Di, Jiang, Wei, Jiang, Xiaoshan, Jing, Xiaoping, Jollet, Cécile, Kampmann, Philipp, Kang, Li, Karaparambil, Rebin, Kazarian, Narine, Khan, Ali, Khatun, Amina, Khosonthongkee, Khanchai, Korablev, Denis, Kouzakov, Konstantin, Krasnoperov, Alexey, Kuleshov, Sergey, Kutovskiy, Nikolay, Labit, Loïc, Lachenmaier, Tobias, Landini, Cecilia, Leblanc, Sébastien, Lebrin, Victor, Lefevre, Frederic, Lei, Ruiting, Leitner, Rupert, Leung, Jason, Li, Demin, Li, Fei, Li, Fule, Li, Gaosong, Li, Huiling, Li, Jiajun, Li, Mengzhao, Li, Min, Li, Nan, Li, Qingjiang, Li, Ruhui, Li, Rui, Li, Shanfeng, Li, Tao, Li, Teng, Li, Weidong, Li, Weiguo, Li, Xiaomei, Li, Xiaonan, Li, Xinglong, Li, Yi, Li, Yichen, Li, Yufeng, Li, Zhaohan, Li, Zhibing, Li, Ziyuan, Li, Zonghai, Liang, Hao, Liao, Jiajun, Limphirat, Ayut, Lin, Guey-Lin, Lin, Shengxin, Lin, Tao, Ling, Jiajie, Ling, Xin, Lippi, Ivano, Liu, Caimei, Liu, Fang, Liu, Fengcheng, Liu, Haidong, Liu, Haotian, Liu, Hongbang, Liu, Hongjuan, Liu, Hongtao, Liu, Hui, Liu, Jianglai, Liu, Jiaxi, Liu, Jinchang, Liu, Min, Liu, Qian, Liu, Qin, Liu, Runxuan, Liu, Shenghui, Liu, Shubin, Liu, Shulin, Liu, Xiaowei, Liu, Xiwen, Liu, Xuewei, Liu, Yankai, Liu, Zhen, Lokhov, Alexey, Lombardi, Paolo, Lombardo, Claudio, Loo, Kai, Lu, Chuan, Lu, Haoqi, Lu, Jingbin, Lu, Junguang, Lu, Peizhi, Lu, Shuxiang, Lu, Xianguo, Lubsandorzhiev, Bayarto, Lubsandorzhiev, Sultim, Ludhova, Livia, Lukanov, Arslan, Luo, Daibin, Luo, Fengjiao, Luo, Guang, Luo, Jianyi, Luo, Shu, Luo, Wuming, Luo, Xiaojie, Lyashuk, Vladimir, Ma, Bangzheng, Ma, Bing, Ma, Qiumei, Ma, Si, Ma, Xiaoyan, Ma, Xubo, Maalmi, Jihane, Magoni, Marco, Mai, Jingyu, Malyshkin, Yury, Mandujano, Roberto Carlos, Mantovani, Fabio, Mao, Xin, Mao, Yajun, Mari, Stefano M., Marini, Filippo, Martini, Agnese, Mayer, Matthias, Mayilyan, Davit, Mednieks, Ints, Meng, Yue, Meraviglia, Anita, Meregaglia, Anselmo, Meroni, Emanuela, Meyhöfer, David, Miramonti, Lino, Mohan, Nikhil, Montuschi, Michele, Müller, Axel, Nastasi, Massimiliano, Naumov, Dmitry V., Naumova, Elena, Navas-Nicolas, Diana, Nemchenok, Igor, Thi, Minh Thuan Nguyen, Nikolaev, Alexey, Ning, Feipeng, Ning, Zhe, Nunokawa, Hiroshi, Oberauer, Lothar, Ochoa-Ricoux, Juan Pedro, Olshevskiy, Alexander, Orestano, Domizia, Ortica, Fausto, Othegraven, Rainer, Paoloni, Alessandro, Parmeggiano, Sergio, Pei, Yatian, Pelicci, Luca, Peng, Anguo, Peng, Haiping, Peng, Yu, Peng, Zhaoyuan, Perrot, Frédéric, Petitjean, Pierre-Alexandre, Petrucci, Fabrizio, Pilarczyk, Oliver, Rico, Luis Felipe Piñeres, Popov, Artyom, Poussot, Pascal, Previtali, Ezio, Qi, Fazhi, Qi, Ming, Qi, Xiaohui, Qian, Sen, Qian, Xiaohui, Qian, Zhen, Qiao, Hao, Qin, Zhonghua, Qiu, Shoukang, Qu, Manhao, Qu, Zhenning, Ranucci, Gioacchino, Rasheed, Reem, Re, Alessandra, Rebii, Abdel, Redchuk, Mariia, Ren, Bin, Ren, Jie, Ricci, Barbara, Rientong, Komkrit, Rifai, Mariam, Roche, Mathieu, Rodphai, Narongkiat, Romani, Aldo, Roskovec, Bedřich, Ruan, Xichao, Rybnikov, Arseniy, Sadovsky, Andrey, Saggese, Paolo, Sandanayake, Deshan, Sangka, Anut, Sava, Giuseppe, Sawangwit, Utane, Schever, Michaela, Schwab, Cédric, Schweizer, Konstantin, Selyunin, Alexandr, Serafini, Andrea, Settimo, Mariangela, Sharov, Vladislav, Shaydurova, Arina, Shi, Jingyan, Shi, Yanan, Shutov, Vitaly, Sidorenkov, Andrey, Šimkovic, Fedor, Singhal, Apeksha, Sirignano, Chiara, Siripak, Jaruchit, Sisti, Monica, Smirnov, Mikhail, Smirnov, Oleg, Sogo-Bezerra, Thiago, Sokolov, Sergey, Songwadhana, Julanan, Soonthornthum, Boonrucksar, Sotnikov, Albert, Šrámek, Ondřej, Sreethawong, Warintorn, Stahl, Achim, Stanco, Luca, Stankevich, Konstantin, Steiger, Hans, Steinmann, Jochen, Sterr, Tobias, Stock, Matthias Raphael, Strati, Virginia, Studenikin, Alexander, Su, Aoqi, Su, Jun, Sun, Shifeng, Sun, Xilei, Sun, Yongjie, Sun, Yongzhao, Sun, Zhengyang, Suwonjandee, Narumon, Szelezniak, Michal, Takenaka, Akira, Tang, Jian, Tang, Qiang, Tang, Quan, Tang, Xiao, Hariharan, Vidhya Thara, Theisen, Eric, Tietzsch, Alexander, Tkachev, Igor, Tmej, Tomas, Torri, Marco Danilo Claudio, Tortorici, Francesco, Treskov, Konstantin, Triossi, Andrea, Triozzi, Riccardo, Trzaska, Wladyslaw, Tung, Yu-Chen, Tuve, Cristina, Ushakov, Nikita, Vedin, Vadim, Venettacci, Carlo, Verde, Giuseppe, Vialkov, Maxim, Viaud, Benoit, Vollbrecht, Cornelius Moritz, von Sturm, Katharina, Vorobel, Vit, Voronin, Dmitriy, Votano, Lucia, Walker, Pablo, Wang, Caishen, Wang, Chung-Hsiang, Wang, En, Wang, Guoli, Wang, Jian, Wang, Jun, Wang, Li, Wang, Lu, Wang, Meng, Wang, Ruiguang, Wang, Siguang, Wang, Wei, Wang, Wenshuai, Wang, Xi, Wang, Xiangyue, Wang, Yangfu, Wang, Yaoguang, Wang, Yi, Wang, Yifang, Wang, Yuanqing, Wang, Yuyi, Wang, Zhe, Wang, Zheng, Wang, Zhimin, Watcharangkool, Apimook, Wei, Wei, Wei, Wenlu, Wei, Yadong, Wei, Yuehuan, Wen, Kaile, Wen, Liangjian, Weng, Jun, Wiebusch, Christopher, Wirth, Rosmarie, Wonsak, Bjoern, Wu, Diru, Wu, Qun, Wu, Yiyang, Wu, Zhi, Wurm, Michael, Wurtz, Jacques, Wysotzki, Christian, Xi, Yufei, Xia, Dongmei, Xiao, Fei, Xiao, Xiang, Xie, Xiaochuan, Xie, Yuguang, Xie, Zhangquan, Xin, Zhao, Xing, Zhizhong, Xu, Benda, Xu, Cheng, Xu, Donglian, Xu, Fanrong, Xu, Hangkun, Xu, Jilei, Xu, Jing, Xu, Meihang, Xu, Xunjie, Xu, Yin, Xu, Yu, Yan, Baojun, Yan, Qiyu, Yan, Taylor, Yan, Xiongbo, Yan, Yupeng, Yang, Changgen, Yang, Chengfeng, Yang, Jie, Yang, Lei, Yang, Xiaoyu, Yang, Yifan, Yao, Haifeng, Ye, Jiaxuan, Ye, Mei, Ye, Ziping, Yermia, Frédéric, You, Zhengyun, Yu, Boxiang, Yu, Chiye, Yu, Chunxu, Yu, Guojun, Yu, Hongzhao, Yu, Miao, Yu, Xianghui, Yu, Zeyuan, Yu, Zezhong, Yuan, Cenxi, Yuan, Chengzhuo, Yuan, Ying, Yuan, Zhenxiong, Yue, Baobiao, Zafar, Noman, Zavadskyi, Vitalii, Zeng, Fanrui, Zeng, Shan, Zeng, Tingxuan, Zeng, Yuda, Zhan, Liang, Zhang, Aiqiang, Zhang, Bin, Zhang, Binting, Zhang, Feiyang, Zhang, Haosen, Zhang, Honghao, Zhang, Jialiang, Zhang, Jiawen, Zhang, Jie, Zhang, Jingbo, Zhang, Jinnan, ZHANG, Lei, Zhang, Mohan, Zhang, Peng, Zhang, Ping, Zhang, Qingmin, Zhang, Shiqi, Zhang, Shu, Zhang, Shuihan, Zhang, Siyuan, Zhang, Tao, Zhang, Xiaomei, Zhang, Xin, Zhang, Xuantong, Zhang, Yinhong, Zhang, Yiyu, Zhang, Yongpeng, Zhang, Yu, Zhang, Yuanyuan, Zhang, Yumei, Zhang, Zhenyu, Zhang, Zhijian, Zhao, Jie, Zhao, Rong, Zhao, Runze, Zhao, Shujun, Zheng, Dongqin, Zheng, Hua, Zheng, Yangheng, Zhong, Weirong, Zhou, Jing, Zhou, Li, Zhou, Nan, Zhou, Shun, Zhou, Tong, Zhou, Xiang, Zhu, Jingsen, Zhu, Kangfu, Zhu, Kejun, Zhu, Zhihang, Zhuang, Bo, Zhuang, Honglin, Zong, Liang, Zou, Jiaheng, Züfle, Jan, and null, null
Abstract: The core-collapse supernova (CCSN) is considered one of the most energetic astrophysical events in the universe. The early and prompt detection of neutrinos before (pre-SN) and during the supernova (SN) burst presents a unique opportunity for multi-messenger observations of CCSN events. In this study, we describe the monitoring concept and present the sensitivity of the system to pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton liquid scintillator detector currently under construction in South China. The real-time monitoring system is designed to ensure both prompt alert speed and comprehensive coverage of progenitor stars. It incorporates prompt monitors on the electronic board as well as online monitors at the data acquisition stage. Assuming a false alert rate of 1 per year, this monitoring system exhibits sensitivity to pre-SN neutrinos up to a distance of approximately 1.6 (0.9) kiloparsecs and SN neutrinos up to about 370 (360) kiloparsecs for a progenitor mass of 30 solar masses, considering both normal and inverted mass ordering scenarios. The pointing ability of the CCSN is evaluated by analyzing the accumulated event anisotropy of inverse beta decay interactions from pre-SN or SN neutrinos. This, along with the early alert, can play a crucial role in facilitating follow-up multi-messenger observations of the next galactic or nearby extragalactic CCSN.
Published: 2024

26. Tunneling Plasmonics in Bilayer Graphene

Author: Fei, Z., Iwinski, E. G., Ni, G. X., Zhang, L. M., Bao, W., Rodin, A. S., Lee, Y., Wagner, M., Liu, M. K., Dai, S., Goldflam, M. D., Thiemens, M., Keilmann, F., Lau, C. N., Castro-Neto, A. H., Fogler, M. M., and Basov, D. N.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: We report experimental signatures of plasmonic effects due to electron tunneling between adjacent graphene layers. At sub-nanometer separation, such layers can form either a strongly coupled bilayer graphene with a Bernal stacking or a weakly coupled double-layer graphene with a random stacking order. Effects due to interlayer tunneling dominate in the former case but are negligible in the latter. We found through infrared nano-imaging that bilayer graphene supports plasmons with a higher degree of confinement compared to single- and double-layer graphene, a direct consequence of interlayer tunneling. Moreover, we were able to shut off plasmons in bilayer graphene through gating within a wide voltage range. Theoretical modeling indicates that such a plasmon-off region is directly linked to a gapped insulating state of bilayer graphene: yet another implication of interlayer tunneling. Our work uncovers essential plasmonic properties in bilayer graphene and suggests a possibility to achieve novel plasmonic functionalities in graphene few-layers., Comment: 27 pages, 11 figures
Published: 2015
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27. Investigation of M1 transitions of the ground-state configuration of In-like Tungsten

Author: Li, W., Xiao, J., Shi, Z., Fei, Z., Zhao, R., Brage, T., Huldt, S., Hutton, R., and Zou, Y.
Subjects: Physics - Atomic Physics
Abstract: Three visible lines of M1 transitions from In-like W were recorded using the Shanghai permanent magnet electron beam ion trap. The experimental wavelengths were measured as 493.84 $\pm$ 0.15, 226.97 $\pm$ 0.13 and 587.63 $\pm$ 0.23 nm (vacuum wavelengths). These results are in good agreement with theoretical predictions obtained using large-scale Relativistic Many-Body Perturbation Theory, in the form of the Flexible Atomic Code., Comment: 7 pages, 3 figures
Published: 2015
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28. Subdiffractional focusing and guiding of polaritonic rays in a natural hyperbolic material

Author: Dai, S., Ma, Q., Andersen, T., McLeod, A. S., Fei, Z., Liu, M. K., Wagner, M., Watanabe, K., Taniguchi, T., Thiemens, M., Keilmann, F., Jarillo-Herrero, P., Fogler, M. M., and Basov, D. N.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Optics
Abstract: Uniaxial materials whose axial and tangential permittivities have opposite signs are referred to as indefinite or hyperbolic media. In such materials light propagation is unusual, leading to novel and often non-intuitive optical phenomena. Here we report infrared nano-imaging experiments demonstrating that crystals of hexagonal boron nitride (hBN), a natural mid-infrared hyperbolic material, can act as a "hyper-focusing lens" and as a multi-mode waveguide. The lensing is manifested by subdiffractional focusing of phonon-polaritons launched by metallic disks underneath the hBN crystal. The waveguiding is revealed through the modal analysis of the periodic patterns observed around such launchers and near the sample edges. Our work opens new opportunities for anisotropic layered insulators in infrared nanophotonics complementing and potentially surpassing concurrent artificial hyperbolic materials with lower losses and higher optical localization., Comment: 25 pages, 5 figures
Published: 2015
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29. Graphene on hexagonal boron nitride as a tunable hyperbolic metamaterial

Author: Dai, S., Ma, Q., Liu, M. K., Andersen, T., Fei, Z., Goldflam, M., Wagner, M., Watanabe, K., Taniguchi, T., Thiemens, M., Keilmann, F., Janssen, G. C. A. M., Zhu, S. -E., Jarillo-Herrero, P., Fogler, M. M., and Basov, D. N.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: Hexagonal boron nitride (h-BN) is a natural hyperbolic material, for which the dielectric constants are the same in the basal plane (epsilon^t = epsilon^x = epsilon^y) but have opposite signs (epsilon^t*epsilon^z < 0) from that in the normal plane (epsilon^z). Due to this property, finite-thickness slabs of h-BN act as multimode waveguides for propagation of hyperbolic phonon polaritons - collective modes that originate from the coupling between photons and electric dipoles in phonons. However, control of these hyperbolic phonon polaritons modes has remained challenging, mostly because their electrodynamic properties are dictated by the crystal lattice of h-BN. Here we show by direct nano-infrared imaging that these hyperbolic polaritons can be effectively modulated in a van der Waals heterostructure composed of monolayer graphene on h-BN. Tunability originates from the hybridization of surface plasmon polaritons in graphene with hyperbolic phonon polaritons in h-BN, so that the eigenmodes of the graphene/h-BN heterostructure are hyperbolic plasmon-phonon polaritons. Remarkably, the hyperbolic plasmon-phonon polaritons in graphene/h-BN suffer little from ohmic losses, making their propagation length 1.5-2.0 times greater than that of hyperbolic phonon polaritons in h-BN. The hyperbolic plasmon-phonon polaritons possess the combined virtues of surface plasmon polaritons in graphene and hyperbolic phonon polaritons in h-BN. Therefore, graphene/h-BN structures can be classified as electromagnetic metamaterials since the resulting properties of these devices are not present in its constituent elements alone., Comment: 20 pages, 3 figures in Nature Nanotechnology 2015
Published: 2015
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30. Quantitative modeling of gate-tunable cavity exciton-polaritons in transition-metal dichalcogenides.

Author: B Iyer, R., Huynh, W., Luan, Y., Shinar, R., Shinar, J., Wang, J., and Fei, Z.
Subjects: DISPERSION relations, POLARITONS, HIGH voltages, EXCITON theory, LEGAL evidence
Abstract: We performed a comprehensive real-space simulation study of propagative exciton-polaritons (EPs) of tungsten disulfide (WS2) inside a Fabry–Pérot cavity. Through our simulations, we were able to construct the dispersion relation and determine the propagation length (Lp) of EPs, both of which show sensitive dependence on the applied gate voltage. We found that Lp increases at higher gate voltages when excited at the exciton energy but shows opposite gate dependence at the trion energy. These observations are direct evidence of the coupling between the cavity mode with excitons and trions of WS2. Furthermore, we demonstrate a proof-of-concept device based on the tunable cavity EPs of WS2, which is promising for application as photonic transistors, modulators, or electrical-to-optical converters. Our work unveils the real-space transport properties of gate-tunable cavity EPs and paves the way for future applications of EPs in nanophotonic devices and circuits. [ABSTRACT FROM AUTHOR]
Published: 2024
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31. Research on cavitation characteristics of water-jet pumps with different blade tip clearances based on entropy production theory

Author: Fei, Z Y, primary, Guo, Q, additional, Huang, X B, additional, and Ming, X, additional
Published: 2024
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32. Tunable Plasmonic Reflection by Bound 1D Electron States in a 2D Dirac Metal

Author: Jiang, B-Y, Ni, GX, Pan, C, Fei, Z, Cheng, B, Lau, CN, Bockrath, M, Basov, DN, and Fogler, MM
Subjects: Physical Sciences, Condensed Matter Physics, cond-mat.mes-hall, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract: We show that the surface plasmons of a two-dimensional Dirac metal such as graphene can be reflected by linelike perturbations hosting one-dimensional electron states. The reflection originates from a strong enhancement of the local optical conductivity caused by optical transitions involving these bound states. We propose that the bound states can be systematically created, controlled, and liquidated by an ultranarrow electrostatic gate. Using infrared nanoimaging, we obtain experimental evidence for the locally enhanced conductivity of graphene induced by a carbon nanotube gate, which supports this theoretical concept.
Published: 2016

33. Ultrafast optical switching of infrared plasmon polaritons in high-mobility graphene

Author: Ni, GX, Wang, L, Goldflam, MD, Wagner, M, Fei, Z, McLeod, AS, Liu, MK, Keilmann, F, Özyilmaz, B, Castro Neto, AH, Hone, J, Fogler, MM, and Basov, DN
Subjects: Mathematical Sciences, Physical Sciences, Optoelectronics & Photonics
Published: 2016

34. Infrared nano-spectroscopy and imaging of collective superfluid excitations in conventional and high-temperature superconductors

Author: Stinson, H. T., Wu, J. S., Jiang, B. Y., Fei, Z., Rodin, A. S., Chapler, B. C., Mcleod, A. S., Neto, A. Castro, Lee, Y. S., Fogler, M. M., and Basov, D. N.
Subjects: Condensed Matter - Superconductivity, Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: We investigate near-field infrared spectroscopy and superfluid polariton imaging experiments on conventional and unconventional superconductors. Our modeling shows that near-field spectroscopy can measure the magnitude of the superconducting energy gap in Bardeen-Cooper-Schrieffer-like superconductors with nanoscale spatial resolution. We demonstrate how the same technique can measure the c-axis plasma frequency, and thus the c-axis superfluid density, of layered unconventional superconductors with a similar spatial resolution. Our modeling also shows that near-field techniques can image superfluid surface mode interference patterns near physical and electronic boundaries. We describe how these images can be used to extract the collective mode dispersion of anisotropic superconductors with sub-diffractional spatial resolution., Comment: 11 pages, 8 figures
Published: 2014
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35. Edge and Surface Plasmons in Graphene Nanoribbons

Author: Fei, Z, Goldflam, MD, Wu, J-S, Dai, S, Wagner, M, McLeod, AS, Liu, MK, Post, KW, Zhu, S, Janssen, GCAM, Fogler, MM, and Basov, DN
Subjects: Graphene nanoribbons, CVD graphene, nano-infrared imaging, plasmon-phonon coupling, edge plasmons, plasmon−phonon coupling, cond-mat.mes-hall, Nanoscience & Nanotechnology
Abstract: We report on nano-infrared (IR) imaging studies of confined plasmon modes inside patterned graphene nanoribbons (GNRs) fabricated with high-quality chemical-vapor-deposited (CVD) graphene on Al2O3 substrates. The confined geometry of these ribbons leads to distinct mode patterns and strong field enhancement, both of which evolve systematically with the ribbon width. In addition, spectroscopic nanoimaging in the mid-infrared range 850-1450 cm(-1) allowed us to evaluate the effect of the substrate phonons on the plasmon damping. Furthermore, we observed edge plasmons: peculiar one-dimensional modes propagating strictly along the edges of our patterned graphene nanostructures.
Published: 2015

36. Plasmons in graphene moiré superlattices

Author: Ni, GX, Wang, H, Wu, JS, Fei, Z, Goldflam, MD, Keilmann, F, Özyilmaz, B, Castro Neto, AH, Xie, XM, Fogler, MM, and Basov, DN
Subjects: Physical Sciences, Condensed Matter Physics, Nanoscience & Nanotechnology
Abstract: Moiré patterns are periodic superlattice structures that appear when two crystals with a minor lattice mismatch are superimposed. A prominent recent example is that of monolayer graphene placed on a crystal of hexagonal boron nitride. As a result of the moiré pattern superlattice created by this stacking, the electronic band structure of graphene is radically altered, acquiring satellite sub-Dirac cones at the superlattice zone boundaries. To probe the dynamical response of the moiré graphene, we use infrared (IR) nano-imaging to explore propagation of surface plasmons, collective oscillations of electrons coupled to IR light. We show that interband transitions associated with the superlattice mini-bands in concert with free electrons in the Dirac bands produce two additive contributions to composite IR plasmons in graphene moiré superstructures. This novel form of collective modes is likely to be generic to other forms of moiré-forming superlattices, including van der Waals heterostructures.
Published: 2015

37. Outcomes and Experiences of Child-Bearing Women with Nasopharyngeal Carcinoma

Author: Ma L, Chen F, Kong X, Xu T, Fei Z, Fang W, Wang B, and Wu H
Subjects: nasopharyngeal carcinoma, fertility, child-bearing mortality risk, post-treatment, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Liqin Ma,1,* Fei Chen,2,* Xiangquan Kong,3,* Ting Xu,2 Zhaodong Fei,1 Weining Fang,1 Binyi Wang,1 Haixia Wu2 1Department of Radiation Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, People’s Republic of China; 2Fujian Medical University, Fuzhou, People’s Republic of China; 3Department of Radiation Oncology, Fujian Medical University Affiliated Xiamen Humanity Hospital, Fuzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Liqin MaDepartment of Radiation Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, No. 420, Fuma Road, Fuzhou, Fujian 350014, People’s Republic of ChinaTel +8613609537603Fax +86 591-83660063Email maliqin3@126.comPurpose: Nasopharyngeal carcinoma (NPC) is more common among women in Southeast Asia. An important issue is whether it is safe for them to bear children after treatment and when it is safe to do so. We conducted this study to explore the relation between fertility and prognosis in child-bearing women with NPC.Patients and Methods: Child-bearing women were defined as young women between the ages of 18 and 30. A total of 127 eligible child-bearing NPC patients were identified from December 2003 to December 2014. The patients were divided into two groups, depending on whether or not they had post-therapeutic births. The Kaplan–Meier method was used for survival analyses. The Log rank test was used to compare two survival curves and the independent significances of different prognostic factors were assessed by Cox proportional hazards regression analysis.Results: The 5-year overall survival (OS) and disease-free survival (DFS) in the Childbirth group were significantly higher than those in the Non-Childbirth group (100% vs 88.8%, P = 0.026 and 100% vs 77.5%, P = 0.007, respectively). In the Childbirth group, no difference was found in the 5-year DFS between different birth interval times, from 1 to 5 years after treatment. The clinical stage was identified as the risk factor of OS (HR = 101.725, 95% CI: 2.160– 4790.910, P = 0.019), and consequent childbirth after treatment was associated with favorable DFS (HR = 0.148, 95% CI: 0.034– 0.643, P = 0.011).Conclusion: Post-therapeutic birth did not increase the mortality risk of child-bearing women with NPC. There was no significant correlation between the subsequent birth time window after treatment and the prognosis.Keywords: nasopharyngeal carcinoma, fertility, child-bearing mortality risk, post-treatment
Published: 2020

38. High Mean Corpuscular Volume as a Predictor of Poor Overall Survival in Patients with Esophageal Cancer Receiving Concurrent Chemoradiotherapy

Author: Li K, Gu W, Xia X, Zhang P, Zou C, and Fei Z
Subjects: esophageal cancer, mean corpuscular volume, concurrent chemoradiotherapy, predictors, overall survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Ke-jie Li,1,* Wen-yue Gu,2,* Xiao-fang Xia,1 Ping Zhang,3 Chang-lin Zou,3 Zheng-hua Fei3 1Department of Radiation Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 2Department of Pathology, Yancheng Hospital Affiliated of Southeast University, Yancheng, Jiangsu 224000, People’s Republic of China; 3Radiation and Medical Oncology Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chang-lin Zou; Zheng-hua FeiDepartment of Radiation Oncology, The First Affiliated Hospital of Wenzhou Medical University, No. 2 Fuxue Lane, Wenzhou 325000, People’s Republic of ChinaTel +86-13758736611; +86-15868728796Fax +86-577-88069292Email zcl13705775570@163.com; feizhenghua@wzhospital.cnBackground: Increasing numbers of recent studies have demonstrated that high mean corpuscular volume (MCV) is a predictor of poor overall survival (OS) and therapeutic response in patients with solid tumors. The aim of the present study was to explore the association between high MCV and OS in patients with advanced esophageal cancer (EC) undergoing concurrent chemoradiotherapy.Patients and Methods: Enrolled in this study were 249 patients with advanced EC who underwent concurrent chemoradiotherapy. Pre-treatment MCV values were collected in all patients and their correlations with OS and pathophysiological characteristics were analyzed. The chi-square test was used to explore the correlation between MCV and various clinical pathophysiological characteristics, and the prognostic significance of high MCV using Kaplan–Meier curves and the Cox proportional hazards model. All P-values were two-tailed and a P-value < 0.05 was considered statistically significant.Results: According to ROC curve analysis, the optimal cut-off value of MCV was 93.6 fL. The mean OS was 14.7 months in all 249 EC patients, 10.9 months in patients with MCV > 93.6 fL, and 18.8 months in patients with MCV < 93.6 fL; the difference is statistically significant (P< 0.05). Chi-square test showed that the MCV value was correlated with the N stage of the tumor and the therapeutic effect, indicating that the higher the MCV was, the higher the T stage of the tumor and the worse the therapeutic effect would be (p=0.012 and p < 0.01). Multivariate analysis showed that MCV (OR = 1.864, 95% CI: 1.439– 2.415) was an independent prognostic factor for OS in EC patients.Conclusion: High MCV is a poor predictor of OS in patients with advanced EC receiving concurrent chemoradiotherapy.Keywords: esophageal cancer, mean corpuscular volume, concurrent chemoradiotherapy, predictors, overall survival
Published: 2020

39. JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo

Author: Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, Alexandros, T, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Bergnoli, A, Birkenfeld, T, Blin, S, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callegari, R, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Chan, C, Chang, J, Chang, Y, Chen, G, Chen, P, Chen, S, Chen, X, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chetverikov, A, Chiesa, D, Chimenti, P, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Di Lorenzo, S, Corti, D, Corso, F, Dalager, O, De La Taille, C, Deng, Z, Depnering, W, Diaz, M, Ding, X, Ding, Y, Dirgantara, B, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dusini, S, Dvorak, M, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, D, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Ford, R, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Gottel, A, Grassi, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, J, Guo, W, Guo, X, Guo, Y, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Ioannisian, A, Isocrate, R, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Joutsenvaara, J, Kalousis, L, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kutovskiy, N, Kuusiniemi, P, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Lippi, I, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martellini, C, Martin-Chassard, G, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meinusch, A, Meng, Y, Meregaglia, A, Meroni, E, Meyhofer, D, Mezzetto, M, Miller, J, Miramonti, L, Molla, M, Montini, P, Montuschi, M, Muller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Pelliccia, N, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Ranucci, G, Raper, N, Rasheed, R, Re, A, Rebber, H, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sanfilippo, S, Sangka, A, Sawangwit, U, Sawatzki, J, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settanta, G, Settimo, M, Shao, Z, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Simkovic, F, Sirignano, C, Siripak, J, Sisti, M, Slupecki, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Stefanik, D, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Treskov, K, Triossi, A, Troni, G, Trzaska, W, Tuve, C, Ushakov, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, Volpe, C, Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Weng, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wong, S, Wonsak, B, Wu, D, Wu, Q, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, W, Yan, X, Yan, Y, Yang, C, Yang, H, Yang, J, Yang, L, Yang, X, Yang, Y, Yeng, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, G, Zhang, H, Zhang, J, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, F, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Zwickel, S, Abusleme A., Adam T., Ahmad S., Ahmed R., Aiello S., Akram M., Aleem A., Alexandros T., An F., An Q., Andronico G., Anfimov N., Antonelli V., Antoshkina T., Asavapibhop B., de Andre J. P. A. M., Auguste D., Bai W., Balashov N., Baldini W., Barresi A., Basilico D., Baussan E., Bellato M., Bergnoli A., Birkenfeld T., Blin S., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Busto J., Cabrera A., Caccianiga B., Cai H., Cai X., Cai Y., Cai Z., Callegari R., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Chan C., Chang J., Chang Y., Chen G., Chen P., Chen P. -A., Chen S., Chen X., Chen Y., Chen Z., Cheng J., Cheng Y., Cheng Y. C., Chetverikov A., Chiesa D., Chimenti P., Chu Z., Chukanov A., Claverie G., Clementi C., Clerbaux B., Di Lorenzo S. C., Corti D., Corso F. D., Dalager O., De La Taille C., Deng Z., Depnering W., Diaz M., Ding X., Ding Y., Dirgantara B., Dmitrievsky S., Dohnal T., Dolzhikov D., Donchenko G., Dong J., Doroshkevich E., Dou W., Dracos M., Druillole F., Du R., Du S., Dusini S., Dvorak M., Eck J., Enqvist T., Fabbri A., Fahrendholz U., Fan D., Fan L., Fang J., Fang W., Fargetta M., Fedoseev D., Fei Z., Feng L. -C., Feng Q., Ferraro F., Ford R., Fournier A., Gan H., Gao F., Garfagnini A., Gavrikov A., Giammarchi M., Giudice N., Gonchar M., Gong G., Gong H., Gornushkin Y., Gottel A., Grassi M., Gromov V., Gu M., Gu X., Gu Y., Guan M., Guan Y., Guardone N., Guo C., Guo J., Guo W., Guo X., Guo Y., Hagner C., Han R., Han Y., He M., He W., Heinz T., Hellmuth P., Heng Y., Herrera R., Hor Y., Hou S., Hsiung Y., Hu B. -Z., Hu H., Hu J., Hu S., Hu T., Hu Y., Hu Z., Huang G., Huang H., Huang K., Huang W., Huang X., Huang Y., Hui J., Huo L., Huo W., Huss C., Hussain S., Ioannisian A., Isocrate R., Jelmini B., Jeria I., Ji X., Jia H., Jia J., Jian S., Jiang D., Jiang W., Jiang X., Jing X., Jollet C., Joutsenvaara J., Kalousis L., Kampmann P., Kang L., Karaparambil R., Kazarian N., Khatun A., Khosonthongkee K., Korablev D., Kouzakov K., Krasnoperov A., Kutovskiy N., Kuusiniemi P., Lachenmaier T., Landini C., Leblanc S., Lebrin V., Lefevre F., Lei R., Leitner R., Leung J., Li D., Li F., Li G., Li H., Li M., Li N., Li Q., Li R., Li S., Li T., Li W., Li X., Li Y., Li Z., Liang H., Liao J., Limphirat A., Lin G. -L., Lin S., Lin T., Ling J., Lippi I., Liu F., Liu H., Liu J., Liu M., Liu Q., Liu R., Liu S., Liu X., Liu Y., Lokhov A., Lombardi P., Lombardo C., Loo K., Lu C., Lu H., Lu J., Lu P., Lu S., Lubsandorzhiev B., Lubsandorzhiev S., Ludhova L., Lukanov A., Luo D., Luo F., Luo G., Luo S., Luo W., Luo X., Lyashuk V., Ma B., Ma Q., Ma S., Ma X., Maalmi J., Magoni M., Mai J., Malyshkin Y., Mandujano R. C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martellini C., Martin-Chassard G., Martini A., Mayer M., Mayilyan D., Mednieks I., Meinusch A., Meng Y., Meregaglia A., Meroni E., Meyhofer D., Mezzetto M., Miller J., Miramonti L., Molla M. C., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Pelliccia N., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. P., Popov A., Poussot P., Previtali E., Qi F., Qi M., Qian S., Qian X., Qian Z., Qiao H., Qin Z., Qiu S., Ranucci G., Raper N., Rasheed R., Re A., Rebber H., Rebii A., Redchuk M., Ren B., Ren J., Ricci B., Rifai M., Roche M., Rodphai N., Romani A., Roskovec B., Ruan X., Rybnikov A., Sadovsky A., Saggese P., Sanfilippo S., Sangka A., Sawangwit U., Sawatzki J., Schever M., Schwab C., Schweizer K., Selyunin A., Serafini A., Settanta G., Settimo M., Shao Z., Sharov V., Shaydurova A., Shi J., Shi Y., Shutov V., Sidorenkov A., Simkovic F., Sirignano C., Siripak J., Sisti M., Slupecki M., Smirnov M., Smirnov O., Sogo-Bezerra T., Sokolov S., Songwadhana J., Soonthornthum B., Sotnikov A., Sramek O., Sreethawong W., Stahl A., Stanco L., Stankevich K., Stefanik D., Steiger H., Steinmann J., Sterr T., Stock M. R., Strati V., Studenikin A., Su J., Sun S., Sun X., Sun Y., Sun Z., Suwonjandee N., Szelezniak M., Tang J., Tang Q., Tang X., Hariharan V. T., Theisen E., Tietzsch A., Tkachev I., Tmej T., Torri M. D. C., Treskov K., Triossi A., Troni G., Trzaska W., Tuve C., Ushakov N., Vedin V., Verde G., Vialkov M., Viaud B., Vollbrecht C. M., Volpe C., Sturm K. V., Vorobel V., Voronin D., Votano L., Walker P., Wang C., Wang C. -H., Wang E., Wang G., Wang J., Wang L., Wang M., Wang R., Wang S., Wang W., Wang X., Wang Y., Weng Y., Wang Z., Watcharangkool A., Wei W., Wei Y., Wen K., Wen L., Weng J., Wiebusch C., Wong S. C. -F., Wonsak B., Wu D., Wu Q., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan W., Yan X., Yan Y., Yang C., Yang H., Yang J., Yang L., Yang X., Yang Y., Yeng Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang G., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao F., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu K., Zhu Z., Zhuang B., Zhuang H., Zong L., Zou J., Zwickel S., Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, Alexandros, T, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Bergnoli, A, Birkenfeld, T, Blin, S, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callegari, R, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Chan, C, Chang, J, Chang, Y, Chen, G, Chen, P, Chen, S, Chen, X, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chetverikov, A, Chiesa, D, Chimenti, P, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Di Lorenzo, S, Corti, D, Corso, F, Dalager, O, De La Taille, C, Deng, Z, Depnering, W, Diaz, M, Ding, X, Ding, Y, Dirgantara, B, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dusini, S, Dvorak, M, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, D, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Ford, R, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Gottel, A, Grassi, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, J, Guo, W, Guo, X, Guo, Y, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Ioannisian, A, Isocrate, R, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Joutsenvaara, J, Kalousis, L, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kutovskiy, N, Kuusiniemi, P, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Lippi, I, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martellini, C, Martin-Chassard, G, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meinusch, A, Meng, Y, Meregaglia, A, Meroni, E, Meyhofer, D, Mezzetto, M, Miller, J, Miramonti, L, Molla, M, Montini, P, Montuschi, M, Muller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Pelliccia, N, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Ranucci, G, Raper, N, Rasheed, R, Re, A, Rebber, H, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sanfilippo, S, Sangka, A, Sawangwit, U, Sawatzki, J, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settanta, G, Settimo, M, Shao, Z, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Simkovic, F, Sirignano, C, Siripak, J, Sisti, M, Slupecki, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Stefanik, D, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Treskov, K, Triossi, A, Troni, G, Trzaska, W, Tuve, C, Ushakov, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, Volpe, C, Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Weng, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wong, S, Wonsak, B, Wu, D, Wu, Q, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, W, Yan, X, Yan, Y, Yang, C, Yang, H, Yang, J, Yang, L, Yang, X, Yang, Y, Yeng, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, G, Zhang, H, Zhang, J, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, F, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Zwickel, S, Abusleme A., Adam T., Ahmad S., Ahmed R., Aiello S., Akram M., Aleem A., Alexandros T., An F., An Q., Andronico G., Anfimov N., Antonelli V., Antoshkina T., Asavapibhop B., de Andre J. P. A. M., Auguste D., Bai W., Balashov N., Baldini W., Barresi A., Basilico D., Baussan E., Bellato M., Bergnoli A., Birkenfeld T., Blin S., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Busto J., Cabrera A., Caccianiga B., Cai H., Cai X., Cai Y., Cai Z., Callegari R., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Chan C., Chang J., Chang Y., Chen G., Chen P., Chen P. -A., Chen S., Chen X., Chen Y., Chen Z., Cheng J., Cheng Y., Cheng Y. C., Chetverikov A., Chiesa D., Chimenti P., Chu Z., Chukanov A., Claverie G., Clementi C., Clerbaux B., Di Lorenzo S. C., Corti D., Corso F. D., Dalager O., De La Taille C., Deng Z., Depnering W., Diaz M., Ding X., Ding Y., Dirgantara B., Dmitrievsky S., Dohnal T., Dolzhikov D., Donchenko G., Dong J., Doroshkevich E., Dou W., Dracos M., Druillole F., Du R., Du S., Dusini S., Dvorak M., Eck J., Enqvist T., Fabbri A., Fahrendholz U., Fan D., Fan L., Fang J., Fang W., Fargetta M., Fedoseev D., Fei Z., Feng L. -C., Feng Q., Ferraro F., Ford R., Fournier A., Gan H., Gao F., Garfagnini A., Gavrikov A., Giammarchi M., Giudice N., Gonchar M., Gong G., Gong H., Gornushkin Y., Gottel A., Grassi M., Gromov V., Gu M., Gu X., Gu Y., Guan M., Guan Y., Guardone N., Guo C., Guo J., Guo W., Guo X., Guo Y., Hagner C., Han R., Han Y., He M., He W., Heinz T., Hellmuth P., Heng Y., Herrera R., Hor Y., Hou S., Hsiung Y., Hu B. -Z., Hu H., Hu J., Hu S., Hu T., Hu Y., Hu Z., Huang G., Huang H., Huang K., Huang W., Huang X., Huang Y., Hui J., Huo L., Huo W., Huss C., Hussain S., Ioannisian A., Isocrate R., Jelmini B., Jeria I., Ji X., Jia H., Jia J., Jian S., Jiang D., Jiang W., Jiang X., Jing X., Jollet C., Joutsenvaara J., Kalousis L., Kampmann P., Kang L., Karaparambil R., Kazarian N., Khatun A., Khosonthongkee K., Korablev D., Kouzakov K., Krasnoperov A., Kutovskiy N., Kuusiniemi P., Lachenmaier T., Landini C., Leblanc S., Lebrin V., Lefevre F., Lei R., Leitner R., Leung J., Li D., Li F., Li G., Li H., Li M., Li N., Li Q., Li R., Li S., Li T., Li W., Li X., Li Y., Li Z., Liang H., Liao J., Limphirat A., Lin G. -L., Lin S., Lin T., Ling J., Lippi I., Liu F., Liu H., Liu J., Liu M., Liu Q., Liu R., Liu S., Liu X., Liu Y., Lokhov A., Lombardi P., Lombardo C., Loo K., Lu C., Lu H., Lu J., Lu P., Lu S., Lubsandorzhiev B., Lubsandorzhiev S., Ludhova L., Lukanov A., Luo D., Luo F., Luo G., Luo S., Luo W., Luo X., Lyashuk V., Ma B., Ma Q., Ma S., Ma X., Maalmi J., Magoni M., Mai J., Malyshkin Y., Mandujano R. C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martellini C., Martin-Chassard G., Martini A., Mayer M., Mayilyan D., Mednieks I., Meinusch A., Meng Y., Meregaglia A., Meroni E., Meyhofer D., Mezzetto M., Miller J., Miramonti L., Molla M. C., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Pelliccia N., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. P., Popov A., Poussot P., Previtali E., Qi F., Qi M., Qian S., Qian X., Qian Z., Qiao H., Qin Z., Qiu S., Ranucci G., Raper N., Rasheed R., Re A., Rebber H., Rebii A., Redchuk M., Ren B., Ren J., Ricci B., Rifai M., Roche M., Rodphai N., Romani A., Roskovec B., Ruan X., Rybnikov A., Sadovsky A., Saggese P., Sanfilippo S., Sangka A., Sawangwit U., Sawatzki J., Schever M., Schwab C., Schweizer K., Selyunin A., Serafini A., Settanta G., Settimo M., Shao Z., Sharov V., Shaydurova A., Shi J., Shi Y., Shutov V., Sidorenkov A., Simkovic F., Sirignano C., Siripak J., Sisti M., Slupecki M., Smirnov M., Smirnov O., Sogo-Bezerra T., Sokolov S., Songwadhana J., Soonthornthum B., Sotnikov A., Sramek O., Sreethawong W., Stahl A., Stanco L., Stankevich K., Stefanik D., Steiger H., Steinmann J., Sterr T., Stock M. R., Strati V., Studenikin A., Su J., Sun S., Sun X., Sun Y., Sun Z., Suwonjandee N., Szelezniak M., Tang J., Tang Q., Tang X., Hariharan V. T., Theisen E., Tietzsch A., Tkachev I., Tmej T., Torri M. D. C., Treskov K., Triossi A., Troni G., Trzaska W., Tuve C., Ushakov N., Vedin V., Verde G., Vialkov M., Viaud B., Vollbrecht C. M., Volpe C., Sturm K. V., Vorobel V., Voronin D., Votano L., Walker P., Wang C., Wang C. -H., Wang E., Wang G., Wang J., Wang L., Wang M., Wang R., Wang S., Wang W., Wang X., Wang Y., Weng Y., Wang Z., Watcharangkool A., Wei W., Wei Y., Wen K., Wen L., Weng J., Wiebusch C., Wong S. C. -F., Wonsak B., Wu D., Wu Q., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan W., Yan X., Yan Y., Yang C., Yang H., Yang J., Yang L., Yang X., Yang Y., Yeng Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang G., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao F., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu K., Zhu Z., Zhuang B., Zhuang H., Zong L., Zou J., and Zwickel S.
Abstract: We discuss JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo via detecting inverse beta decay reactions of electron anti-neutrinos resulting from the annihilation. We study possible backgrounds to the signature, including the reactor neutrinos, diffuse supernova neutrino background, charged- and neutral-current interactions of atmospheric neutrinos, backgrounds from muon-induced fast neutrons and cosmogenic isotopes. A fiducial volume cut, as well as the pulse shape discrimination and the muon veto are applied to suppress the above backgrounds. It is shown that JUNO sensitivity to the thermally averaged dark matter annihilation rate in 10 years of exposure would be significantly better than the present-day best limit set by Super-Kamiokande and would be comparable to that expected by Hyper-Kamiokande.
Published: 2023

40. JUNO sensitivity to 7Be, pep, and CNO solar neutrinos

Author: Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, Alexandros, T, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Beretta, M, Bergnoli, A, Bick, D, Bieger, L, Biktemerova, S, Birkenfeld, T, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callier, S, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Cerrone, V, Chan, C, Chang, J, Chang, Y, Chen, C, Chen, G, Chen, P, Chen, S, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chepurnov, A, Chetverikov, A, Chiesa, D, Chimenti, P, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Molla, M, Di Lorenzo, S, Coppi, A, Corti, D, Csakli, S, Dal Corso, F, Dalager, O, Datta, J, De La Taille, C, Deng, Z, Depnering, W, Ding, X, Ding, Y, Dirgantara, B, Dittrich, C, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dugas, K, Dusini, S, Duyang, H, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Gottel, A, Grassi, M, Gromov, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, W, Guo, X, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, J, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Imbert, L, Ioannisian, A, Isocrate, R, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, C, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khan, A, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kuleshov, S, Kutovskiy, N, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, J, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Ling, X, Lippi, I, Liu, C, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Liu, Z, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, J, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meng, Y, Meraviglia, A, Meregaglia, A, Meroni, E, Meyhofer, D, Miramonti, L, Mohan, N, Montini, P, Montuschi, M, Muller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Nikolaev, A, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qi, X, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Ranucci, G, Rasheed, R, Re, A, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sandanayake, D, Sanfilippo, S, Sangka, A, Sawangwit, U, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settimo, M, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Simkovic, F, Singhal, A, Sirignano, C, Siripak, J, Sisti, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Takenaka, A, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Tortorici, F, Treskov, K, Triossi, A, Triozzi, R, Trzaska, W, Tung, Y, Tuve, C, Ushakov, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, von Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wirth, R, Wonsak, B, Wu, D, Wu, Q, Wu, Y, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, X, 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P. A. M., Auguste D., Bai W., Balashov N., Baldini W., Barresi A., Basilico D., Baussan E., Bellato M., Beretta M., Bergnoli A., Bick D., Bieger L., Biktemerova S., Birkenfeld T., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Busto J., Cabrera A., Caccianiga B., Cai H., Cai X., Cai Y., Cai Z., Callier S., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Cerrone V., Chan C., Chang J., Chang Y., Chen C., Chen G., Chen P., Chen S., Chen Y., Chen Z., Cheng J., Cheng Y., Cheng Y. C., Chepurnov A., Chetverikov A., Chiesa D., Chimenti P., Chu Z., Chukanov A., Claverie G., Clementi C., Clerbaux B., Molla M. C., Di Lorenzo S. C., Coppi A., Corti D., Csakli S., Dal Corso F., Dalager O., Datta J., De La Taille C., Deng Z., Depnering W., Ding X., Ding Y., Dirgantara B., Dittrich C., Dmitrievsky S., Dohnal T., Dolzhikov D., Donchenko G., Dong J., Doroshkevich E., Dou W., Dracos M., Druillole F., Du R., Du S., Dugas K., Dusini S., Duyang H., Eck J., Enqvist T., Fabbri A., Fahrendholz U., Fan L., Fang J., Fang W., Fargetta M., Fedoseev D., Fei Z., Feng L. -C., Feng Q., Ferraro F., Fournier A., Gan H., Gao F., Garfagnini A., Gavrikov A., Giammarchi M., Giudice N., Gonchar M., Gong G., Gong H., Gornushkin Y., Gottel A., Grassi M., Gromov M., Gromov V., Gu M., Gu X., Gu Y., Guan M., Guan Y., Guardone N., Guo C., Guo W., Guo X., Hagner C., Han R., Han Y., He M., He W., Heinz T., Hellmuth P., Heng Y., Herrera R., Hor Y., Hou S., Hsiung Y., Hu B. -Z., Hu H., Hu J., Hu S., Hu T., Hu Y., Hu Z., Huang G., Huang H., Huang J., Huang K., Huang W., Huang X., Huang Y., Hui J., Huo L., Huo W., Huss C., Hussain S., Imbert L., Ioannisian A., Isocrate R., Jelmini B., Jeria I., Ji X., Jia H., Jia J., Jian S., Jiang C., Jiang D., Jiang W., Jiang X., Jing X., Jollet C., Kampmann P., Kang L., Karaparambil R., Kazarian N., Khan A., Khatun A., Khosonthongkee K., Korablev D., Kouzakov K., Krasnoperov A., Kuleshov S., Kutovskiy N., Lachenmaier T., Landini C., Leblanc S., Lebrin V., Lefevre F., Lei R., Leitner R., Leung J., Li D., Li F., Li G., Li H., Li J., Li M., Li N., Li Q., Li R., Li S., Li T., Li W., Li X., Li Y., Li Z., Liang H., Liao J., Limphirat A., Lin G. -L., Lin S., Lin T., Ling J., Ling X., Lippi I., Liu C., Liu F., Liu H., Liu J., Liu M., Liu Q., Liu R., Liu S., Liu X., Liu Y., Liu Z., Lokhov A., Lombardi P., Lombardo C., Loo K., Lu C., Lu H., Lu J., Lu P., Lu S., Lubsandorzhiev B., Lubsandorzhiev S., Ludhova L., Lukanov A., Luo D., Luo F., Luo G., Luo J., Luo S., Luo W., Luo X., Lyashuk V., Ma B., Ma Q., Ma S., Ma X., Maalmi J., Magoni M., Mai J., Malyshkin Y., Mandujano R. C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martini A., Mayer M., Mayilyan D., Mednieks I., Meng Y., Meraviglia A., Meregaglia A., Meroni E., Meyhofer D., Miramonti L., Mohan N., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Nikolaev A., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. P., Popov A., Poussot P., Previtali E., Qi F., Qi M., Qi X., Qian S., Qian X., Qian Z., Qiao H., Qin Z., Qiu S., Ranucci G., Rasheed R., Re A., Rebii A., Redchuk M., Ren B., Ren J., Ricci B., Rifai M., Roche M., Rodphai N., Romani A., Roskovec B., Ruan X., Rybnikov A., Sadovsky A., Saggese P., Sandanayake D., Sanfilippo S., Sangka A., Sawangwit U., Schever M., Schwab C., Schweizer K., Selyunin A., Serafini A., Settimo M., Sharov V., Shaydurova A., Shi J., Shi Y., Shutov V., Sidorenkov A., Simkovic F., Singhal A., Sirignano C., Siripak J., Sisti M., Smirnov M., Smirnov O., Sogo-Bezerra T., Sokolov S., Songwadhana J., Soonthornthum B., Sotnikov A., Sramek O., Sreethawong W., Stahl A., Stanco L., Stankevich K., Steiger H., Steinmann J., Sterr T., Stock M. R., Strati V., Studenikin A., Su J., Sun S., Sun X., Sun Y., Sun Z., Suwonjandee N., Szelezniak M., Takenaka A., Tang J., Tang Q., Tang X., Hariharan V. T., Theisen E., Tietzsch A., Tkachev I., Tmej T., Torri M. D. C., Tortorici F., Treskov K., Triossi A., Triozzi R., Trzaska W., Tung Y. -C., Tuve C., Ushakov N., Vedin V., Verde G., Vialkov M., Viaud B., Vollbrecht C. M., von Sturm K., Vorobel V., Voronin D., Votano L., Walker P., Wang C., Wang C. -H., Wang E., Wang G., Wang J., Wang L., Wang M., Wang R., Wang S., Wang W., Wang X., Wang Y., Wang Z., Watcharangkool A., Wei W., Wei Y., Wen K., Wen L., Weng J., Wiebusch C., Wirth R., Wonsak B., Wu D., Wu Q., Wu Y., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan X., Yan Y., Yang C., Yang J., Yang L., Yang X., Yang Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu G., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu 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C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martini A., Mayer M., Mayilyan D., Mednieks I., Meng Y., Meraviglia A., Meregaglia A., Meroni E., Meyhofer D., Miramonti L., Mohan N., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Nikolaev A., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. 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C., Tortorici F., Treskov K., Triossi A., Triozzi R., Trzaska W., Tung Y. -C., Tuve C., Ushakov N., Vedin V., Verde G., Vialkov M., Viaud B., Vollbrecht C. M., von Sturm K., Vorobel V., Voronin D., Votano L., Walker P., Wang C., Wang C. -H., Wang E., Wang G., Wang J., Wang L., Wang M., Wang R., Wang S., Wang W., Wang X., Wang Y., Wang Z., Watcharangkool A., Wei W., Wei Y., Wen K., Wen L., Weng J., Wiebusch C., Wirth R., Wonsak B., Wu D., Wu Q., Wu Y., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan X., Yan Y., Yang C., Yang J., Yang L., Yang X., Yang Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu G., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu K., Zhu Z., Zhuang B., Zhuang H., Zong L., Zou J., Zufle J., and Zwickel S.
Abstract: The Jiangmen Underground Neutrino Observatory (JUNO), the first multi-kton liquid scintillator detector, which is under construction in China, will have a unique potential to perform a real-time measurement of solar neutrinos well below the few MeV threshold typical of Water Cherenkov detectors. JUNO’s large target mass and excellent energy resolution are prerequisites for reaching unprecedented levels of precision. In this paper, we provide estimation of the JUNO sensitivity to 7Be, pep, and CNO solar neutrinos that can be obtained via a spectral analysis above the 0.45 MeV threshold. This study is performed assuming different scenarios of the liquid scintillator radiopurity, ranging from the most optimistic one corresponding to the radiopurity levels obtained by the Borexino experiment, up to the minimum requirements needed to perform the neutrino mass ordering determination with reactor antineutrinos — the main goal of JUNO. Our study shows that in most scenarios, JUNO will be able to improve the current best measurements on 7Be, pep, and CNO solar neutrino fluxes. We also perform a study on the JUNO capability to detect periodical time variations in the solar neutrino flux, such as the day-night modulation induced by neutrino flavor regeneration in Earth, and the modulations induced by temperature changes driven by helioseismic waves.
Published: 2023

41. Tunneling Plasmonics in Bilayer Graphene

Author: Fei, Z, Iwinski, EG, Ni, GX, Zhang, LM, Bao, W, Rodin, AS, Lee, Y, Wagner, M, Liu, MK, Dai, S, Goldflam, MD, Thiemens, M, Keilmann, F, Lau, CN, Castro-Neto, AH, Fogler, MM, and Basov, DN
Subjects: Infrared nanoimaging, bilayer graphene, plasmons, tunneling, plasmon-off region, cond-mat.mes-hall, Nanoscience & Nanotechnology
Abstract: We report experimental signatures of plasmonic effects due to electron tunneling between adjacent graphene layers. At subnanometer separation, such layers can form either a strongly coupled bilayer graphene with a Bernal stacking or a weakly coupled double-layer graphene with a random stacking order. Effects due to interlayer tunneling dominate in the former case but are negligible in the latter. We found through infrared nanoimaging that bilayer graphene supports plasmons with a higher degree of confinement compared to single- and double-layer graphene, a direct consequence of interlayer tunneling. Moreover, we were able to shut off plasmons in bilayer graphene through gating within a wide voltage range. Theoretical modeling indicates that such a plasmon-off region is directly linked to a gapped insulating state of bilayer graphene, yet another implication of interlayer tunneling. Our work uncovers essential plasmonic properties in bilayer graphene and suggests a possibility to achieve novel plasmonic functionalities in graphene few-layers.
Published: 2015

42. Graphene on hexagonal boron nitride as a tunable hyperbolic metamaterial

Author: Dai, S, Ma, Q, Liu, MK, Andersen, T, Fei, Z, Goldflam, MD, Wagner, M, Watanabe, K, Taniguchi, T, Thiemens, M, Keilmann, F, Janssen, GCAM, Zhu, S-E, Jarillo-Herrero, P, Fogler, MM, and Basov, DN
Subjects: cond-mat.mes-hall, Nanoscience & Nanotechnology
Abstract: Hexagonal boron nitride (h-BN) is a natural hyperbolic material, in which the dielectric constants are the same in the basal plane (ε(t) ≡ ε(x) = ε(y)) but have opposite signs (ε(t)ε(z)
Published: 2015

43. Subdiffractional focusing and guiding of polaritonic rays in a natural hyperbolic material.

Author: Dai, S, Ma, Q, Andersen, T, Mcleod, AS, Fei, Z, Liu, MK, Wagner, M, Watanabe, K, Taniguchi, T, Thiemens, M, Keilmann, F, Jarillo-Herrero, P, Fogler, MM, and Basov, DN
Subjects: cond-mat.mes-hall, physics.optics
Abstract: Uniaxial materials whose axial and tangential permittivities have opposite signs are referred to as indefinite or hyperbolic media. In such materials, light propagation is unusual leading to novel and often non-intuitive optical phenomena. Here we report infrared nano-imaging experiments demonstrating that crystals of hexagonal boron nitride, a natural mid-infrared hyperbolic material, can act as a 'hyper-focusing lens' and as a multi-mode waveguide. The lensing is manifested by subdiffractional focusing of phonon-polaritons launched by metallic disks underneath the hexagonal boron nitride crystal. The waveguiding is revealed through the modal analysis of the periodic patterns observed around such launchers and near the sample edges. Our work opens new opportunities for anisotropic layered insulators in infrared nanophotonics complementing and potentially surpassing concurrent artificial hyperbolic materials with lower losses and higher optical localization.
Published: 2015

44. Electronic and plasmonic phenomena at graphene grain boundaries

Author: Fei, Z., Rodin, A. S., Gannett, W., Dai, S., Regan, W., Wagner, M., Liu, M. K., McLeod, A. S., Dominguez, G., Thiemens, M., Neto, A. H. Castro, Keilmann, F., Zettl, A., Hillenbrand, R., Fogler, M. M., and Basov, D. N.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: Graphene, a two-dimensional honeycomb lattice of carbon atoms, is of great interest in (opto)electronics and plasmonics and can be obtained by means of diverse fabrication techniques, among which chemical vapor deposition (CVD) is one of the most promising for technological applications. The electronic and mechanical properties of CVD-grown graphene depend in large part on the characteristics of the grain boundaries. However, the physical properties of these grain boundaries remain challenging to characterize directly and conveniently. Here, we show that it is possible to visualize and investigate the grain boundaries in CVD-grown graphene using an infrared nano-imaging technique. We harness surface plasmons that are reflected and scattered by the graphene grain boundaries, thus causing plasmon interference. By recording and analyzing the interference patterns, we can map grain boundaries for a large area CVD-grown graphene film and probe the electronic properties of individual grain boundaries. Quantitative analysis reveals that grain boundaries form electronic barriers that obstruct both electrical transport and plasmon propagation. The effective width of these barriers (~10-20 nm) depends on the electronic screening and it is on the order of the Fermi wavelength of graphene. These results uncover a microscopic mechanism that is responsible for the low electron mobility observed in CVD-grown graphene, and suggest the possibility of using electronic barriers to realize tunable plasmon reflectors and phase retarders in future graphene-based plasmonic circuits., Comment: 25 pages, 9 figures
Published: 2013
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45. Plasmonic Hot Spots in Triangular Tapered Graphene Microcrystals

Author: Rodin, A. S., Fei, Z., McLeod, A. S., Wagner, M., Neto, A. H. Castro, Fogler, M. M., and Basov, D. N.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: Recently, plasmons in graphene have been observed experimentally using scattering scanning near-field optical microscopy. In this paper, we develop a simplified analytical approach to describe the behavior in triangular samples. Replacing Coulomb interaction by a short-range one reduces the problem to a Helmholtz equation, amenable to analytical treatment. We demonstrate that even with our simplifications, the system still exhibits the key features seen in the experiment., Comment: 4 pages, 3 figures
Published: 2013

46. Gate-tuning of graphene plasmons revealed by infrared nano-imaging

Author: Fei, Z., Rodin, A. S., Andreev, G. O., Bao, W., McLeod, A. S., Wagner, M., Zhang, L. M., Zhao, Z., Dominguez, G., Thiemens, M., Fogler, M. M., Castro-Neto, A. H., Lau, C. N., Keilmann, F., and Basov, D. N.
Subjects: Condensed Matter - Materials Science, Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: Surface plasmons are collective oscillations of electrons in metals or semiconductors enabling confinement and control of electromagnetic energy at subwavelength scales. Rapid progress in plasmonics has largely relied on advances in device nano-fabrication, whereas less attention has been paid to the tunable properties of plasmonic media. One such medium-graphene-is amenable to convenient tuning of its electronic and optical properties with gate voltage. Through infrared nano-imaging we explicitly show that common graphene/SiO2/Si back-gated structures support propagating surface plasmons. The wavelength of graphene plasmons is of the order of 200 nm at technologically relevant infrared frequencies, and they can propagate several times this distance. We have succeeded in altering both the amplitude and wavelength of these plasmons by gate voltage. We investigated losses in graphene using plasmon interferometry: by exploring real space profiles of plasmon standing waves formed between the tip of our nano-probe and edges of the samples. Plasmon dissipation quantified through this analysis is linked to the exotic electrodynamics of graphene. Standard plasmonic figures of merits of our tunable graphene devices surpass that of common metal-based structures., Comment: 15 pages, 3 figures
Published: 2012
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47. Infrared nanospectroscopy and imaging of collective superfluid excitations in anisotropic superconductors

Author: Stinson, HT, Wu, JS, Jiang, BY, Fei, Z, Rodin, AS, Chapler, BC, McLeod, AS, Castro Neto, A, Lee, YS, Fogler, MM, and Basov, DN
Subjects: Bioengineering, cond-mat.supr-con, cond-mat.mes-hall, Fluids & Plasmas, Physical Sciences, Chemical Sciences
Abstract: We investigate near-field infrared spectroscopy and superfluid polariton imaging experiments on conventional and unconventional superconductors. Our modeling shows that near-field spectroscopy can measure the magnitude of the superconducting energy gap in Bardeen-Cooper-Schrieffer-like superconductors with nanoscale spatial resolution. We demonstrate how the same technique can measure the c-axis plasma frequency, and thus the c-axis superfluid density, of layered unconventional superconductors with a similar spatial resolution. Our modeling also shows that near-field techniques can image superfluid surface mode interference patterns near physical and electronic boundaries. We describe how these images can be used to extract the collective mode dispersion of anisotropic superconductors with subdiffractional spatial resolution. © 2014 American Physical Society.
Published: 2014

48. Tunable Phonon Polaritons in Atomically Thin van der Waals Crystals of Boron Nitride

Author: Dai, S, Fei, Z, Ma, Q, Rodin, AS, Wagner, M, McLeod, AS, Liu, MK, Gannett, W, Regan, W, Watanabe, K, Taniguchi, T, Thiemens, M, Dominguez, G, Neto, AH Castro, Zettl, A, Keilmann, F, Jarillo-Herrero, P, Fogler, MM, and Basov, DN
Subjects: General Science & Technology
Abstract: van der Waals heterostructures assembled from atomically thin crystalline layers of diverse two-dimensional solids are emerging as a new paradigm in the physics of materials. We used infrared nanoimaging to study the properties of surface phonon polaritons in a representative van der Waals crystal, hexagonal boron nitride. We launched, detected, and imaged the polaritonic waves in real space and altered their wavelength by varying the number of crystal layers in our specimens. The measured dispersion of polaritonic waves was shown to be governed by the crystal thickness according to a scaling law that persists down to a few atomic layers. Our results are likely to hold true in other polar van der Waals crystals and may lead to new functionalities.
Published: 2014

49. The Impact of Palliative Transurethral Resection of the Prostate on the Prognosis of no radical surgery indications Prostate Cancer Patients: A SEER Database Study

Author: Fanyu, M., primary, Fei, Z., additional, and Hua, S., additional
Published: 2023
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50. Electronic and plasmonic phenomena at graphene grain boundaries

Author: Fei, Z, Rodin, AS, Gannett, W, Dai, S, Regan, W, Wagner, M, Liu, MK, McLeod, AS, Dominguez, G, Thiemens, M, Castro Neto, Antonio H, Keilmann, F, Zettl, A, Hillenbrand, R, Fogler, MM, and Basov, DN
Subjects: Physical Sciences, Engineering, Nanotechnology, Condensed Matter Physics, cond-mat.mes-hall, Nanoscience & Nanotechnology
Abstract: Graphene, a two-dimensional honeycomb lattice of carbon atoms of great interest in (opto)electronics and plasmonics, can be obtained by means of diverse fabrication techniques, among which chemical vapour deposition (CVD) is one of the most promising for technological applications. The electronic and mechanical properties of CVD-grown graphene depend in large part on the characteristics of the grain boundaries. However, the physical properties of these grain boundaries remain challenging to characterize directly and conveniently. Here we show that it is possible to visualize and investigate the grain boundaries in CVD-grown graphene using an infrared nano-imaging technique. We harness surface plasmons that are reflected and scattered by the graphene grain boundaries, thus causing plasmon interference. By recording and analysing the interference patterns, we can map grain boundaries for a large-area CVD graphene film and probe the electronic properties of individual grain boundaries. Quantitative analysis reveals that grain boundaries form electronic barriers that obstruct both electrical transport and plasmon propagation. The effective width of these barriers (∼10-20 nm) depends on the electronic screening and is on the order of the Fermi wavelength of graphene. These results uncover a microscopic mechanism that is responsible for the low electron mobility observed in CVD-grown graphene, and suggest the possibility of using electronic barriers to realize tunable plasmon reflectors and phase retarders in future graphene-based plasmonic circuits.
Published: 2013

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