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

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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Bibliographic Details
Main Authors: Aidil Zulkafli, Nadhirah, Elyca Anak Bundak, Caceja, Amiruddin Abd Rahman, Mohd, Chin Yap, Chi, Chong, Kok-Keong, Tee Tan, Sin
Format: Article
Language:English
Published: Elsevier 2024
Online Access:http://psasir.upm.edu.my/id/eprint/113626/
http://psasir.upm.edu.my/id/eprint/113626/1/113626.pdf

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