Targeting high performance of perovskite solar cells by combining electronic, manufacturing and environmental features in machine learning techniques

This study employs Machine Learning (ML) techniques to optimize the performance of Perovskite Solar Cells (PSCs) by identifying the ideal materials and properties for high Power Conversion Efficiency (PCE). Utilizing a dataset of 3000 PSC samples from previous experiments, the Random Forest (RF) tec...

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Detalles Bibliográficos
Autores principales: Mammeri, M., Dehimi, L., Bencherif, H., Amami, Mongi, Ezzine, Safa, Pandey, Rahul, Hossain, M. Khalid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641223/
https://www.ncbi.nlm.nih.gov/pubmed/37964826
http://dx.doi.org/10.1016/j.heliyon.2023.e21498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641223/
https://www.ncbi.nlm.nih.gov/pubmed/37964826
http://dx.doi.org/10.1016/j.heliyon.2023.e21498

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