First-principles investigation and device simulation of TlPbI 3 -based perovskite solar cells with machine learning-driven efficiency prediction

RSC Advances 2026 Open access

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Authors: Md. Harun-Or-Rashid, Hanane Etabti, Md. Tauki Tazwar, Md Amzad Sadik Abid, Md. Farhan Shahriyar, Nosir Khamidovich Khurramov, Hayitov Abdulla Nurmatovich, Sardor Sabirov, Lakhdar Benahmedi, Md. Monirul Islam, Md. Ferdous Rahman
DOI: 10.1039/d6ra01288d
Cited by: 7
References: 96

Abstract

as a viable absorber material for next-generation solar cells and provides valuable predictive insights to guide experimental development.

Fields of Study & Subjects

Perovskite Materials and Applications Machine Learning in Materials Science Heusler alloys: electronic and magnetic properties

Publication details

Journal / source
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
16
Issue
20
Pages
18022–18060
Publication date
1 January 2026
Language
EN