Machine learning-assisted optimization of CsPbI₃-based all-inorganic perovskite solar cells: A combined SCAPS-1D and XGBoost approach

Machine learning-assisted optimization of CsPbI₃-based all-inorganic perovskite solar cells: A combined SCAPS-1D and XGBoost approach

The commercialization of perovskite solar cells (PSCs) is hindered by the instability of organic components and the resource-intensive nature of experimental optimization. Machine learning (ML) is revolutionizing the discovery and optimization of photovoltaic devices by reducing reliance on conventi...

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Bibliographic Details
Main Authors: Usama Ghulam Mustafa, Wei Wu, Mingqing Wang, Adham Hashibon, Hafeez Anwar
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Energy and AI
Subjects:
Inorganic perovskite solar cells
SCAPS 1D
Bulk defect density
Interfacial defect density
Machine learning
Random forest regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546825000916
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http://www.sciencedirect.com/science/article/pii/S2666546825000916

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