Investigating the impact of non-ideal conditions on the performance of an RbGeI 3 perovskite solar cell through a combination of SCAPS-1D, machine learning and deep learning approaches

Materials Advances 2026 Open access

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Authors: Tanvir Mahtab Khan, Maria Shams, Most. Marzia Khatun, Tahmid Ahamed, Manjuara Akter, Shajedul Hasan Arman, Mirza Md Shakil, Hafiz Al Asad, Sheikh Rashel Al Ahmed
DOI: 10.1039/d5ma01427a
Cited by: 3
References: 82

Abstract

We designed an RbGeI 3 -based perovskite solar cell under ideal and non-ideal conditions. The PCE drops from 30.41% to 19.68% due to non-idealities. Finally, ML and DL models are used to analyze the influence of non-ideal inputs on the device PCE.

Fields of Study & Subjects

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

Publication details

Journal / source
Materials Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
7
Issue
7
Pages
3800–3821
Publication date
1 January 2026
Language
EN