Machine Learning Approach to Predict the Power Conversion Efficiency of CsSnI3 Based Solar Cell

Communications in computer and information science 2026

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Authors: Jadala Kartheek, Aayush Singh Rajput, Harsh Pande, Deboraj Muchahary
DOI: 10.1007/978-3-032-10250-8_20
Cited by: 0
References: 14

Fields of Study & Subjects

Perovskite Materials and Applications Machine Learning in Materials Science TiO2 Photocatalysis and Solar Cells

Publication details

Journal / source
Communications in computer and information science
Pages
262–275
Publication date
1 January 2026
Language
EN