First-principles investigation and device simulation of TlPbI3-based perovskite solar cells with machine learning-driven efficiency prediction.

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Bibliographic Details
Title: First-principles investigation and device simulation of TlPbI3-based perovskite solar cells with machine learning-driven efficiency prediction.
Authors: Harun-Or-Rashid M; Department of Electrical and Electronic Engineering, Begum Rokeya University Rangpur 5400 Bangladesh harunorrashid1816017@gmail.com., Etabti H; LIMAS, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University Fez 30000 Morocco., Tazwar MT; Department of Electrical and Electronic Engineering, Bangladesh Army University of Science and Technology (BAUST) Saidpur 5311 Nilphamari Bangladesh., Sadik Abid MA; Department of Information Systems, Lamar University Beaumont Texas 77705 USA., Shahriyar MF; Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University Dinajpur-5200 Bangladesh., Khurramov N; Department of Information Technology and Exact Sciences, Termez University of Economics and Service Termez 190100 Uzbekistan., Nurmatovich HA; Department of Technical Science, Urgench State University Urgench 220100 Uzbekistan., Sabirov S; Department of General Professional Sciences, Mamun University Khiva 220900 Uzbekistan., Benahmedi L; Technology and Solids Properties Laboratory, Faculty of Science and Technology, Mostaganem University Mostaganem 27000 Algeria., Islam MM; Department of Electrical and Electronic Engineering, Begum Rokeya University Rangpur 5400 Bangladesh harunorrashid1816017@gmail.com., Rahman MF; Department of Electrical and Electronic Engineering, Begum Rokeya University Rangpur 5400 Bangladesh harunorrashid1816017@gmail.com.
Source: RSC advances [RSC Adv] 2026 Apr 07; Vol. 16 (20), pp. 18022-18060. Date of Electronic Publication: 2026 Apr 07 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101581657 Publication Model: eCollection Cited Medium: Internet ISSN: 2046-2069 (Electronic) Linking ISSN: 20462069 NLM ISO Abbreviation: RSC Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2046-2069
DOI:10.1039/d6ra01288d