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

• 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/113626/1/113626.pdf; http://psasir.upm.edu.my/id/eprint/113626/; https://linkinghub.elsevier.com/retrieve/pii/S0038092X24004900

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...