Machine learning‐assisted performance analysis of organic photovoltaics

Machine learning‐assisted performance analysis of organic photovoltaics

Abstract Although the power conversion efficiency of organic solar cells (OSCs) has been rapidly improved, there is still a lot of room for designing and developing new materials and their combinations to approach the efficiency limit. In this work, we establish a database of ∼100 bulk heterojunctio...

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Bibliographic Details
Main Authors: Sijing Zhong, Jiayi Huang, Hengyu Meng, Zhuo Feng, Qianyue Wang, Zhenyu Huang, Lijie Zhang, Shiwei Li, Weiyang Gong, Yusen Huang, Lei Ying, Ning Li
Format: Article
Language:English
Published: Wiley-VCH 2024-12-01
Series:Materials Genome Engineering Advances
Subjects:
machine learning
material combinations
organic photovoltaics
performance analysis
reliability
Online Access:https://doi.org/10.1002/mgea.74
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https://doi.org/10.1002/mgea.74

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