Machine learning driven performance for hole transport layer free carbon-based perovskite solar cells

Machine learning driven performance for hole transport layer free carbon-based perovskite solar cells

Abstract The rapid advancement of machine learning (ML) technology across diverse domains has provided a framework for discovering and rationalising materials and photovoltaic devices. This study introduces a five-step methodology for implementing ML models in fabricating hole transport layer (HTL)...

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Bibliographic Details
Main Authors: Sreeram Valsalakumar, Shubhranshu Bhandari, Anurag Roy, Tapas K. Mallick, Justin Hinshelwood, Senthilarasu Sundaram
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-024-01383-7

Internet

https://doi.org/10.1038/s41524-024-01383-7

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