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The circuitry landscape of perovskite solar cells:An in-depth analysis

Journal of Energy Chemistry 2024年第7期94卷 393-413页

作者： Siddhi Vinayak Pandey Daniel Prochowicz Apurba Mahapatra Saravanan Pandiaraj Abdullah N.Alodhayb seckin akin Pankaj Yadav Department of Solar Energy School of Energy TechnologyPandit Deendayal Energy UniversityGandhinagar 382007GujaratIndia Department of Physical Chemistry Polish Academy of SciencesKasprzaka 44/5201-224 WarsawPoland Department of Self-Development Skills King Saud UniversityRiyadh 11451Saudi Arabia Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Department of Metallurgical and Materials Engineering Necmettin Erbakan University42060 KonyaTurkey Department of Physics School of Energy TechnologyPandit Deendayal Energy UniversityGandhinagar 382007GujaratIndia

The extensive research and development in perovskite solar cells (PSCs) have rekindled the hopes of converting solar energy into *** elusive understanding of underlying mechanisms is required for the development of efficient *** the years,Impedance Spectroscopy (IS) characterization,along with complementary techniques,has proven to be an effective way to understand and analyze the charge transport and recombination at interface and bulk of *** IS of PSCs have been analyzed,interpreted,and improvised continuously,revealing intricate details about the ***,there is a lack of centralized source of these details,which make it tougher to account for the generalized approach to understand the device *** present work is focused on compiling the research done on various PSC device architectures via IS to construct a comprehensive foundation of information on impedance plots,equivalent circuits,and associated processes.

关键词： Impedance Spectroscopy Perovskite solar cells Equivalent Circuits

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Is machine learning redefining the perovskite solar cells?

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Journal of Energy Chemistry 2022年第3期31卷 74-90,I0004页

作者： Nishi Parikh Meera Karamta Neha Yadav Mohammad Mahdi Tavakoli Daniel Prochowicz seckin akin Abul Kalam Soumitra Satapathi Pankaj Yadav Department of Science School of TechnologyPandit Deendayal Energy UniversityGandhinagar 382007GujaratIndia Department of Electrical Engineering School of TechnologyPandit Deendayal Energy UniversityGandhinagar 382007GujaratIndia Department of Telecommunication Ministry of CommunicationMumbai LSAMumbai 400072MaharashtraIndia Department of Electrical Engineering and Computer Science Massachusetts Institute of TechnologyCambridgeMA 02139USA Institute of Physical Chemistry Polish Academy of SciencesKasprzaka 44/5201-224 WarsawPoland Department of Metallurgical and Materials Engineering Karamanoglu Mehmetbey University70200 KaramanTurkey Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha 61413P.O.Box 9004Saudi Arabia Department of Physics Indian Institute of Technology RoorkeeRoorkeeHaridwarUttarakhand 247667India Department of Solar Energy School of TechnologyPandit Deendayal Energy UniversityGandhinagar 382007GujaratIndia

Development of novel materials with desirable properties remains at the forefront of modern scientific *** learning(ML),a branch of artificial intelligence,has recently emerged as a powerful technology in optoelectronic devices for the prediction of various properties and rational design of *** halide perovskites(MHPs)have been at the centre of attraction owing to their outstanding photophysical properties and rapid development in solar cell ***,the application of ML in the field of MHPs is also getting much attention to optimize the fabrication process and reduce the cost of ***,we comprehensively reviewed different applications of ML in the designing of both MHP absorber layers as well as complete perovskite solar cells(PSCs).At the end,the challenges of ML along with the possible future direction of research are *** believe that this review becomes an indispensable roadmap for optimizing materials composition and predicting design strategies in the field of perovskite technology in the future.

关键词： Machine learning Metal halide perovskites Perovskite solar cell Lead free perovskites

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基于铕掺杂的CsP bI 2Br的高效稳定无机钙钛矿太阳能电池

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科学新闻 2020年第2期 125-125页

作者：向万春 Zaiwei Wang Dominik J.Kubicki Wolfgang Tress Jingshan Luo Daniel Prochowicz seckin akin Lyndon Emsley Jiangtao Zhou Giovanni Dietler Michael Gr?tzel Anders Hagfeldt 武汉理工大学

文章简介根据2018年的认证,有机无机杂化钙钛矿太阳能电池的最新光电转换效率已达23.3%,成为可与硅电池媲美的新型太阳能电池。但钙钛矿中有机组分对热不稳定,虽然全无机钙钛矿（CsPbX3）可以从根本上解决该问题,但是低带隙全无机钙钛... 详细信息

文章简介根据2018年的认证,有机无机杂化钙钛矿太阳能电池的最新光电转换效率已达23.3%,成为可与硅电池媲美的新型太阳能电池。但钙钛矿中有机组分对热不稳定,虽然全无机钙钛矿（CsPbX3）可以从根本上解决该问题,但是低带隙全无机钙钛矿材料在室温下会从立方相（钙钛矿相）变成正交相（非钙钛矿相）,从而失去光学活性。这种相不稳定性成为制约无机钙钛矿太阳能电池发展的瓶颈。

关键词：钙钛矿太阳能电池 CsP bI 2Br 无机钙钛矿铕掺杂

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