典型文献
Is machine learning redefining the perovskite solar cells?
文献摘要：
Development of novel materials with desirable properties remains at the forefront of modern scientific research.Machine 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 mate-rials.Metal halide perovskites(MHPs)have been at the centre of attraction owing to their outstanding photophysical properties and rapid development in solar cell application.Therefore,the application of ML in the field of MHPs is also getting much attention to optimize the fabrication process and reduce the cost of processing.Here,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 discussed.We believe that this review becomes an indispensable roadmap for optimizing materials composition and predicting design strate-gies in the field of perovskite technology in the future.
文献关键词：
中图分类号：
作者姓名：
Nishi Parikh;Meera Karamta;Neha Yadav;Mohammad Mahdi Tavakoli;Daniel Prochowicz;Seckin Akin;Abul Kalam;Soumitra Satapathi;Pankaj Yadav
作者机构：
Department of Science,School of Technology,Pandit Deendayal Energy University,Gandhinagar 382 007,Gujarat,India;Department of Electrical Engineering,School of Technology,Pandit Deendayal Energy University,Gandhinagar 382 007,Gujarat,India;Department of Telecommunication,Ministry of Communication,Mumbai LSA,Mumbai 400072,Maharashtra,India;Department of Electrical Engineering and Computer Science,Massachusetts Institute of Technology,Cambridge,MA 02139,USA;Institute of Physical Chemistry,Polish Academy of Sciences,Kasprzaka 44/52,01-224 Warsaw,Poland;Department of Metallurgical and Materials Engineering,Karamanoglu Mehmetbey University,70200 Karaman,Turkey;Department of Chemistry,Faculty of Science,King Khalid University,Abha 61413,P.O.Box 9004,Saudi Arabia;Department of Physics,Indian Institute of Technology Roorkee,Roorkee,Haridwar,Uttarakhand 247667,India;Department of Solar Energy,School of Technology,Pandit Deendayal Energy University,Gandhinagar 382 007,Gujarat,India
文献出处：
引用格式：
[1]Nishi Parikh;Meera Karamta;Neha Yadav;Mohammad Mahdi Tavakoli;Daniel Prochowicz;Seckin Akin;Abul Kalam;Soumitra Satapathi;Pankaj Yadav-.Is machine learning redefining the perovskite solar cells?)[J].能源化学,2022(03):74-90
A类：
redefining
B类：
Is,machine,learning,solar,cells,Development,novel,materials,desirable,properties,remains,forefront,modern,scientific,research,Machine,ML,branch,artificial,intelligence,has,recently,emerged,powerful,technology,optoelectronic,devices,prediction,various,rational,Metal,halide,perovskites,MHPs,have,been,centre,attraction,owing,their,outstanding,photophysical,rapid,development,Therefore,field,also,getting,much,attention,optimize,fabrication,reduce,cost,processing,Here,comprehensively,reviewed,different,applications,designing,both,absorber,layers,well,complete,PSCs,At,end,challenges,along,possible,future,direction,are,discussed,We,believe,that,this,becomes,indispensable,roadmap,optimizing,composition,predicting,strate,gies
AB值：
0.618631
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