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Machine Learning Approach to Delineate the Impact of Material Properties on Solar Cell Device Physics.
ACS Omega. 2022 Jun 22;7(26):22263-22278. doi: 10.1021/acsomega.2c01076. eCollection 2022 Jul 5.
ACS Omega. 2022.
PMID: 35811908
Free PMC article.
Supervised Machine Learning-Aided SCAPS-Based Quantitative Analysis for the Discovery of Optimum Bromine Doping in Methylammonium Tin-Based Perovskite (MASnI3-xBrx).
Jame HA, Sarker S, Islam MS, Islam MT, Rauf A, Ahsan S, Nishat SS, Jani MR, Shorowordi KM, Carbonara J, Ahmed S.
Jame HA, et al. Among authors: carbonara j.
ACS Appl Mater Interfaces. 2022 Jan 12;14(1):502-516. doi: 10.1021/acsami.1c15030. Epub 2021 Dec 28.
ACS Appl Mater Interfaces. 2022.
PMID: 34962754
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