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3,039 results on '"Wang, Zhenzhen"'

7. Magnetism and berry phase manipulation in an emergent structure of perovskite ruthenate by (111) strain engineering

Author

Ding, Zhaoqing, Chen, Xuejiao, Wang, Zhenzhen, Zhang, Qinghua, Yang, Fang, Bi, Jiachang, Lin, Ting, Wang, Zhen, Wu, Xiaofeng, Gu, Minghui, Meng, Meng, Cao, Yanwei, Gu, Lin, Zhang, Jiandi, Zhong, Zhicheng, Liu, Xiaoran, and Guo, Jiandong

Subjects
Condensed Matter - Strongly Correlated Electrons
Abstract

The interplay among symmetry of lattices, electronic correlations, and Berry phase of the Bloch states in solids has led to fascinating quantum phases of matter. A prototypical system is the magnetic Weyl candidate SrRuO3, where designing and creating electronic and topological properties on artificial lattice geometry is highly demanded yet remains elusive. Here, we establish an emergent trigonal structure of SrRuO3 by means of heteroepitaxial strain engineering along the [111] crystallographic axis. Distinctive from bulk, the trigonal SrRuO3 exhibits a peculiar XY-type ferromagnetic ground state, with the coexistence of high-mobility holes likely from linear Weyl bands and low-mobility electrons from normal quadratic bands as carriers. The presence of Weyl nodes are further corroborated by capturing intrinsic anomalous Hall effect, acting as momentum-space sources of Berry curvatures. The experimental observations are consistent with our first-principles calculations, shedding light on the detailed band topology of trigonal SrRuO3 with multiple pairs of Weyl nodes near the Fermi level. Our findings signify the essence of magnetism and Berry phase manipulation via lattice design and pave the way towards unveiling nontrivial correlated topological phenomena.

Published
2023
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19. Model-independent test for the cosmic distance duality relation with Pantheon and eBOSS DR16 quasar sample

Author

Xu, Bing, Wang, Zhenzhen, Zhang, Kaituo, Huang, Qihong, and Zhang, Jianjian

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology
Abstract

In this paper, we carry out a new model-independent cosmological test for the cosmic distance duality relation~(CDDR) by combining the latest five baryon acoustic oscillations (BAO) measurements and the Pantheon type Ia supernova (SNIa) sample. Particularly, the BAO measurement from extended Baryon Oscillation Spectroscopic Survey~(eBOSS) data release~(DR) 16 quasar sample at effective redshift $z=1.48$ is used, and two methods, i.e. a compressed form of Pantheon sample and the Artificial Neural Network~(ANN) combined with the binning SNIa method, are applied to overcome the redshift-matching problem. Our results suggest that the CDDR is compatible with the observations, and the high-redshift BAO and SNIa data can effectively strengthen the constraints on the violation parameters of CDDR with the confidence interval decreasing by more than 20 percent. In addition, we find that the compressed form of observational data can provide a more rigorous constraint on the CDDR, and thus can be generalized to the applications of other actual observational data with limited sample size in the test for CDDR., Comment: 13 pages, 4 figures

Published
2022
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20. Engineered Kondo screening and nonzero Berry phase in SrTiO3/LaTiO3/SrTiO3 heterostructures

Author

Yang, Fang, Wang, Zhenzhen, Liu, Yonghe, Yang, Shuai, Yu, Ze, An, Qichang, Ding, Zhaoqing, Meng, Fanqi, Cao, Yanwei, Zhang, Qinghua, Gu, Lin, Liu, Miao, Li, Yongqing, Guo, Jiandong, and Liu, Xiaoran

Subjects
Condensed Matter - Strongly Correlated Electrons
Abstract

Controlling the interplay between localized spins and itinerant electrons at the oxide interfaces can lead to exotic magnetic states. Here we devise SrTiO3/LaTiO3/SrTiO3 heterostructures with varied thickness of the LaTiO3 layer (n monolayers) to investigate the magnetic interactions in the two-dimensional electron gas system. The heterostructures exhibit significant Kondo effect when the LaTiO3 layer is rather thin (n = 2, 10), manifesting the strong interaction between the itinerant electrons and the localized magnetic moments at the interfaces, while the Kondo effect is greatly inhibited when n = 20. Notably, distinct Shubnikov-de Haas oscillations are observed and a nonzero Berry phase of {\pi} is extracted when the LaTiO3 layer is rather thin (n = 2, 10), which is absent in the heterostructure with thicker LaTiO3 layer (n = 20). The observed phenomena are consistently interpreted as a result of sub-band splitting and symmetry breaking due to the interplay between the interfacial Rashba spin-orbit coupling and the magnetic orderings in the heterostructures. Our findings provide a route for exploring and manipulating nontrivial electronic band structures at complex oxide interfaces.

Published
2022
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22. Research on the Value Realization Mechanism of Ecological Products in Rizhao National Marine Park

Author

LIU Yingying, WANG Zhenzhen, DING Sen, and HOU Jiling

Subjects
ecological product value, ecological civilization construction, artificial ecological value, ocean park, rizhao, Oceanography, GC1-1581
Abstract

Rizhao National Ocean Park is the national level ocean park with the largest area, the most abundant landscape elements and the most complete tourism facilities in China. This paper analyzes the significance of the current situation of realizing the value of ecological products in Rizhao Marine Park, finds the existing problems, and gives corresponding suggestions, hoping to provide greater reference for the future development of Rizhao Marine Park.

Published
2024

23. Optimal homing policy of the manufacturer facing competing platforms: the effect of selling formats.

Author

Pu, Xujin, Wang, Zhenzhen, and Zhang, Wen

Subjects
SOCIAL media, ELECTRONIC commerce, VIDEO game consoles, GAME theory, MANUFACTURING industries
Abstract

This paper explores the optimal homing policy of a manufacturer who sells products through two competing platforms: a traditional online platform and a social commerce platform. The social platform can choose to operate with reselling or agency selling format. Through analysis, we first find that the manufacturer's optimal decision regarding whether to single- or multi-home and the social platform's optimal decision regarding whether to adopt reselling or agency selling format depend mainly on the intensity of the downstream competition and the platforms' market sizes. Specifically, the manufacturer prefers single-homing if the competition intensity is relatively low and the traditional platform's market size is relatively large. When the competition intensity increases (decreases), the agency selling (reselling) format is always the social platform's preferred choice. Next, we find that the manufacturer is less likely to choose multi-homing (single-homing) and the social platform is more likely to select agency selling (reselling) format when the traditional platform serves as a marketplace rather than a reseller. Finally, numerical studies show that the manufacturer's and the platforms' preferences for selling modes are always misaligned. However, an all-win situation is achieved with the pure agency selling mode when the competition intensity is relatively high. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images

Author

Wang, Zhenzhen, Saoud, Carla, Wangsiricharoen, Sintawat, James, Aaron W., Popel, Aleksander S., and Sulam, Jeremias

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Annotating cancerous regions in whole-slide images (WSIs) of pathology samples plays a critical role in clinical diagnosis, biomedical research, and machine learning algorithms development. However, generating exhaustive and accurate annotations is labor-intensive, challenging, and costly. Drawing only coarse and approximate annotations is a much easier task, less costly, and it alleviates pathologists' workload. In this paper, we study the problem of refining these approximate annotations in digital pathology to obtain more accurate ones. Some previous works have explored obtaining machine learning models from these inaccurate annotations, but few of them tackle the refinement problem where the mislabeled regions should be explicitly identified and corrected, and all of them require a -- often very large -- number of training samples. We present a method, named Label Cleaning Multiple Instance Learning (LC-MIL), to refine coarse annotations on a single WSI without the need of external training data. Patches cropped from a WSI with inaccurate labels are processed jointly within a multiple instance learning framework, mitigating their impact on the predictive model and refining the segmentation. Our experiments on a heterogeneous WSI set with breast cancer lymph node metastasis, liver cancer, and colorectal cancer samples show that LC-MIL significantly refines the coarse annotations, outperforming state-of-the-art alternatives, even while learning from a single slide. Moreover, we demonstrate how real annotations drawn by pathologists can be efficiently refined and improved by the proposed approach. All these results demonstrate that LC-MIL is a promising, light-weight tool to provide fine-grained annotations from coarsely annotated pathology sets.

Published
2021

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