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

Nadhirah Aidil ZulkafliCaceja Elyca Anak BundakMohd Amiruddin Abd RahmanChi Chin YapKok-Keong ChongSin Tee Tan2024-12-242024-12-242024-0810.1016/j.solener.2024.112795https://dspace-cris.utar.edu.my/handle/123456789/7815Prediction of device performance in SnO2 based inverted organic solar cells using Machine learning frameworkjournal-article