Supervised Machine Learning-Aided SCAPS-Based Quantitative Analysis for the Discovery of Optimum Bromine Doping in Methylammonium Tin-Based Perovskite (MASnI3–xBrx)

Autor:	Hasan Al Jame, Saugata Sarker, Md. Shafiqul Islam, Md. Tohidul Islam, Abrar Rauf, Sumaiyatul Ahsan, Sadiq Shahriyar Nishat, Md. Rafsun Jani, Kazi Md. Shorowordi, Joaquin Carbonara, Saquib Ahmed
Rok vydání:	2021
Předmět:	General Materials Science
Zdroj:	ACS Applied Materials & Interfaces. 14:502-516
ISSN:	1944-8252 1944-8244
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::66b1306921bb0c8268764dc7ecc73aa2 https://doi.org/10.1021/acsami.1c15030 Zobrazit plný text záznamu