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
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.
SUPPLEMENTAL MATERIAL
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