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Lee Kong Chian Faculty of Engineering and Science
Published Scholarly Output
Prediction of device performance in SnO2 based inverted organic solar cells using Machine learning framework
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Prediction of device performance in SnO2 based inverted organic solar cells using Machine learning framework
Journal
Solar Energy
ISSN
0038-092X
Date Issued
2024-08
Author(s)
Nadhirah Aidil Zulkafli
Caceja Elyca Anak Bundak
Mohd Amiruddin Abd Rahman
Chi Chin Yap
Kok-Keong Chong
Lee Kong Chian Faculty of Engineering and Science
Sin Tee Tan
DOI
10.1016/j.solener.2024.112795
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