First-principles investigation and device simulation of TlPbI <sub>3</sub> -based perovskite solar cells with machine learning-driven efficiency prediction
Md. Harun-Or-RashidDepartment of Electrical and Electronic Engineering, Begum Rokeya University, Rangpur 5400, BangladeshHanane EtabtiLIMAS, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez 30000, MoroccoMd. Tauki TazwarDepartment of Electrical and Electronic Engineering, Bangladesh Army University of Science and Technology (BAUST), Saidpur 5311, Nilphamari, BangladeshMd Amzad Sadik AbidDepartment of Information Systems, Lamar University, Beaumont, Texas 77705, USAMd. Farhan ShahriyarDepartment of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, BangladeshNosir Khamidovich KhurramovDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez 190100, UzbekistanHayitov Abdulla NurmatovichDepartment of Technical Science, Urgench State University, Urgench 220100, UzbekistanSardor SabirovDepartment of General Professional Sciences, Mamun University, Khiva 220900, UzbekistanLakhdar BenahmediTechnology and Solids Properties Laboratory, Faculty of Science and Technology, Mostaganem University, Mostaganem 27000, AlgeriaMd. Monirul IslamDepartment of Electrical and Electronic Engineering, Begum Rokeya University, Rangpur 5400, BangladeshMd. Ferdous RahmanDepartment of Electrical and Electronic Engineering, Begum Rokeya University, Rangpur 5400, Bangladesh
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as a viable absorber material for next-generation solar cells and provides valuable predictive insights to guide experimental development.
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