Machine-learning–driven exploration of HTL effects in Mg 3 SbBr 3 perovskite solar cells for ultra-high efficiency

New Journal of Chemistry 2026

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Authors: Tanvir Al Galib, Md. Asikul Islam, Md Masum Mia, Rihan Akter, Md. Faruk Hossain, Nacer Badi, Elboughdiri Noureddine, Mongi Amami, Lamia Ben Farhat, Jehan Al-Humaidi, Md. Ferdous Rahman
DOI: 10.1039/d6nj00219f
Cited by: 1
References: 90

Abstract

Creating efficient and durable lead-free perovskite solar cells continues to be a major obstacle in advancing environmentally sustainable photovoltaic solutions.

Fields of Study & Subjects

Perovskite Materials and Applications Machine Learning in Materials Science Chemical and Physical Properties of Materials

Publication details

Journal / source
New Journal of Chemistry
Publisher
Royal Society of Chemistry (RSC)
Volume
50
Issue
24
Pages
10129–10152
Publication date
1 January 2026
Language
EN