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2. Development of roll-to-roll slot die coated perovskite solar cells

Author

Patidar, Rahul and Watson, Trystan

Abstract

Perovskite solar cells (PSCs) have gained a lot of attention in recent years because of their outstanding optoelectronic properties and ability to tolerate defects. Additionally, they can be produced at high throughput using solution processing techniques. It is this feature of perovskite that is leveraged in this work to show their scale up potential by R2R slot die coating. Slot die coating is a highly precise and controllable technique that can be used to coat a wide range of materials onto a variety of substrates, including flexible and rigid materials. Slot die coating is commonly used in the production of electronic devices, solar cells, and other products that require thin, uniform films of materials. First a P-I-N architecture of PSCs was developed and optimised with 4 layers slot die coated. This included the hole transport layer (PEDOT:PSS), active layer (MAPbI3), electron transport layer (PCBM), buffer layer (BCP). With 4 R2R slot die coated layer, a stabilised PCE of 12% is achieved. Further, a low toxic solvent system was used to coat the MAPbI3 and its economic benefits are discussed. Next, in efforts to replace PEDOT:PSS, PTAA hole transport layer was explored. Due to thin coating of PTAA on rough surfaces of PET-ITO, PTAA based devices resulted in high shorting. To avoid this a thin buffer layer of PEDOT:PSS on PET-ITO was slot die coated before coating PTAA. This improved the performance of the PSCs to 15.2%. Further, the role of PEDOT:PSS is characterised using AFM and XPS. Additionally, the optimization of a R2R slot die coating process for MAPbI3 was carried out on a PTAA surface. The loss of performance that occurred during the transfer from spin coating to R2R slot die coating was characterized, and multiple theories were tested to understand the cause. It was found that the poor interface between MAPbI3 and PTAA was responsible for the drop in performance. Finally, the addition of dimethyl sulfoxide (DMSO) helped to reduce the gap in performance between R2R and spin-coated MAPbI3 on PTAA hole transport layers. The presence of DMSO slowed the growth of crystal formation, leading to improved crystal orientation and improved performance of the PSCs.

Published
2023
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3. Pathways to Upscaling Highly Efficient Organic Solar Cells Using Green Solvents: A Study on Device Photophysics in the Transition from Lab‐to‐Fab.

Author

Mazzolini, Eva, Pacalaj, Richard A., Fu, Yuang, Patil, Bhushan R., Patidar, Rahul, Lu, Xinhui, Watson, Trystan M., Durrant, James R., Li, Zhe, and Gasparini, Nicola

Subjects
SOLAR cells, CHARGE carriers, PARKS, RESEARCH personnel, SOLUBILITY, SOLVENTS
Abstract

As the rise of nonfullerene acceptors (NFA) has allowed lab‐scale organic solar cells (OSC) to reach 20% efficiency, translating these devices into roll‐to‐roll compatible fabrication still poses many challenges for researchers. Among these are the use of green solvent solubility for large‐scale manufacture, roll‐to‐roll compatible fabrication, and, not least, information on charge carrier dynamics in each upscaling step, to further understand the gap in performance. In this work, the reproducibility of champion devices using slot‐die coating with 14% power conversion efficiency (PCE) is demonstrated, under the condition that the optimal thickness is maintained. It is further shown that for the donor:acceptor (D:A) blend PM6:Y12, the processing solvent has a more significant impact on charge carrier dynamics compared to the deposition technique. It is found that the devices processed with o‐xylene feature a 40% decrease in the bimolecular recombination coefficient compared to those processed with CB, as well as a 70% increase in effective mobility. Finally, it is highlighted that blade‐coating yields devices with similar carrier dynamics to slot‐die coating, making it the optimal choice for lab‐scale optimization with no significant loss in translation toward up‐scale. [ABSTRACT FROM AUTHOR]

Published
2024
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4. Evaluation of exaggerated claims in the abstracts of systematic reviews reporting accelerated orthodontic tooth movement: a meta research analysis

Author

Shyagali Tarulatha R., Rathore Ayesha, Kapoor Shanya, Gupta Abhishek, Tiwari Anil, and Patidar Rahul

Subjects
Dentistry, RK1-715
Abstract

The latest trend in scientific literature review is to scrutinise the practices of false or biased reporting of findings, which is rightly termed as ‘spin’. In recent years, accelerated tooth movement has gained attention from the orthodontic community, but the findings still remain unclear and controversial.

Published
2022
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5. A RARE CASE OF RETROPERITONEAL LIPOSARCOMA COMPLICATED WITH GIANT COLONIC DIVERTICULUM: CASE REPORT.

Author

Goel, Amitabh, Bansal, Vandana, Patel, Laalji, Nivsarkar, Sonal, Mehta, Dolly, Afrin, Sana, Shrivastava, Saranshi, and Patidar, Rahul

Subjects
RETROPERITONEUM diseases, LIPOSARCOMA, DIVERTICULUM, MYASTHENIA gravis, SYMPTOMS
Abstract

The co-occurrence of retroperitoneal liposarcoma and a giant colonic diverticulum poses diagnostic challenges due to their uncommon nature and overlapping clinical presentations. Here, we present a unique case report of a 76-year-old female with hypertension and myasthenia gravis who presented to Vishesh Jupiter Hospital, Indore and diagnosed with retroperitoneal liposarcoma complicated by a giant colonic diverticulum detailing its presentation, diagnostic journey and management strategies. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Evaluation of some genetic variability associated traits of 32 rice (Oryza sativa L.) genotypes in three different planting spacing by path coefficient analysis

Author

Katkani, Deepak, Payasi, Shiv Kumar, Hamidi, Aidin, Singh, Yogendra, Patidar, Rahul, Katkani, Deepak, Payasi, Shiv Kumar, Hamidi, Aidin, Singh, Yogendra, and Patidar, Rahul

Abstract

The study was taken up to estimate 32 advance breeding lines of rice for grain yield and the related traits in three different planting techniques, viz. direct seeded condition (E-I), transplanting with spacing of 15 x 15 cm (E-II) and 25 x 15 cm (E-III). The experimentation was carried out to explore the parameters of hereditary & variability for yield along-with yield components, to study the extent of association and direct and indirect special effects of different yield components on grain yield in rice. The analysis of variance from the experimental results documented significant changes amongst various genotypes for all studied traits with respect to the three planting spacing. High GCV, high magnitude of broad sense heritability coupled with genetic advance as percentage of mean was detected for grain yield/plant and harvest index. These above-mentioned traits displayed considerable contribution of different additive gene action for their phenotypic appearance. The characters harvest index (%), biological yield/plant, flag leaf angle and no. of productive tillers/plant showed positive correlation & direct effect on grain yield per plant on pooled analysis. It indicated that these traits might be included in formulating criteria of selection for enhancement of the grain yield per plant in rice.

Published
2023

8. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, González, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martínez-Denegri, Guillermo, Näsström, Hampus, Michaels, Hannes, Köbler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jerónimo-Rendón, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjörnsson, Kári, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud. H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V., Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schröder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, González, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martínez-Denegri, Guillermo, Näsström, Hampus, Michaels, Hannes, Köbler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jerónimo-Rendón, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjörnsson, Kári, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud. H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V., Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schröder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022

9. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022
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10. Predicting Low Toxicity and Scalable Solvent Systems for High‐Speed Roll‐to‐Roll Perovskite Manufacturing

Author

Massachusetts Institute of Technology. Research Laboratory of Electronics, Massachusetts Institute of Technology. Department of Chemistry, Swartwout, Richard, Patidar, Rahul, Belliveau, Emma, Dou, Benjia, Beynon, David, Greenwood, Peter, Moody, Nicole, deQuilettes, Dane, Bawendi, Moungi, Watson, Trystan, Bulovic, Vladimir, Massachusetts Institute of Technology. Research Laboratory of Electronics, Massachusetts Institute of Technology. Department of Chemistry, Swartwout, Richard, Patidar, Rahul, Belliveau, Emma, Dou, Benjia, Beynon, David, Greenwood, Peter, Moody, Nicole, deQuilettes, Dane, Bawendi, Moungi, Watson, Trystan, and Bulovic, Vladimir

Published
2022

12. A Novel Dialkylamino-Functionalized Chalcone, DML6, Inhibits Cervical Cancer Cell Proliferation, In Vitro, via Induction of Oxidative Stress, Intrinsic Apoptosis and Mitotic Catastrophe

Author

Len, Jenna M., primary, Hussein, Noor, additional, Malla, Saloni, additional, Mcintosh, Kyle, additional, Patidar, Rahul, additional, Elangovan, Manivannan, additional, Chandrabose, Karthikeyan, additional, Moorthy, N. S. Hari Narayana, additional, Pandey, Manoj, additional, Raman, Dayanidhi, additional, Trivedi, Piyush, additional, and Tiwari, Amit K., additional

Published
2021
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13. Study on Shallow and Deep Bin for a Constant Volume at Same Loading Condition a Review

Author

Patidar, Rahul and Nitesh Kushwaha

Subjects
Civil Engineering, FOS: Civil engineering
Abstract

The bunkers and silos made of reinforced concrete have almost replaced the steel storage structures. Concrete bins possess less maintenance and other architectural qualities greater than steel storage tanks. They are used to store materials like grain, cereals, coal cement etc. They both serve the purpose of bins. Rahul Patidar | Nitesh Kushwaha "Study on Shallow and Deep Bin for a Constant Volume at Same Loading Condition a Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29800.pdf

Published
2019
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14. Cu-doped nickel oxide interface layer with nanoscale thickness for efficient and highly stable printable carbon-based perovskite solar cell

Author

Bashir, Amna, Lew, Jia Haur, Shukla, Sudhanshu, Gupta, Disha, Baikie, Tom, Chakraborty, Sudip, Patidar, Rahul, Bruno, Annalisa, Mhaisalkar, Subodh, Akhter, Zareen, Bashir, Amna, Lew, Jia Haur, Shukla, Sudhanshu, Gupta, Disha, Baikie, Tom, Chakraborty, Sudip, Patidar, Rahul, Bruno, Annalisa, Mhaisalkar, Subodh, and Akhter, Zareen

Abstract

The power conversion efficiency (PCE) of hole conductor free carbon-based perovskite solar cells (PSCs) is restricted by the poor charge extraction and recombination losses at the carbon-perovskite interface. For the first time we successfully demonstrated incorporation of thin layer of copper doped nickel oxide (Cu:NiOx) nanoparticles in carbon-based PSCs, which helps in improving the performance of these solar devices. Cu:NiOx nanoparticles have been synthesized by a facile chemical method, and processed into a paste for screen printing. Extensive X-ray Absorption Spectroscopy (XAS) analysis elucidates the co-ordination of Cu in a NiOx matrix and indicates the presence of around 5.4% Cu in the sample. We fabricated a monolithic perovskite module on a 100 cm(2) glass substrate (active area of 70 cm(2)) with a thin Cu:NiOx layer (80 nm), where the champion device shows an appreciated power conversion efficiency of 12.1% under an AM 1.5G illumination. To the best of our knowledge, this is the highest reported efficiency for such a large area perovskite solar device. I-V scans show that the introduction of Cu:NiOx mesoporous scaffold increases the photocurrent, and yields fill factor (FF) values exceeding 57% due to the better interface and increased hole extraction efficiency. Electrochemical Impedance Spectroscopy (EIS) results reinforce the above results by showing the reduction in recombination resistance (R-rec) of the PSCs that incorporates Cu:NiOx interlayer. The perovskite solar modules with a Cu:NiOx layer are stable for more than 4500 h in an ambient environment (25 degrees C and 65% RH), with PCE degradation of less than 5% of the initial value.

Published
2019
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