Prediction of device performance in SnO2 based inverted organic solar cells using machine learning framework

The development of wearable electronic gadgets has spanned the research attention toward the design of flexible and high-performance organic solar cells. The complicated process and long data execution time have limited its research progress. In this project, the machine learning (ML) framework with...

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Main Authors: Aidil Zulkafli, Nadhirah, Elyca Anak Bundak, Caceja, Amiruddin Abd Rahman, Mohd, Chin Yap, Chi, Chong, Kok-Keong, Tee Tan, Sin
格式: Article
语言:English
出版: Elsevier 2024
在线阅读:http://psasir.upm.edu.my/id/eprint/113626/1/113626.pdf
http://psasir.upm.edu.my/id/eprint/113626/
https://linkinghub.elsevier.com/retrieve/pii/S0038092X24004900
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