Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells
Acceptor
DOI:
10.1039/d2tc03276g
Publication Date:
2022-10-19T13:54:35Z
AUTHORS (5)
ABSTRACT
In this review, current progress, opportunities, and challenges for ML in OSCs have been identified. Given the rapid advances field, impactful techniques that useful extracting meaningful insights are discussed.
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