Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells

Research article (Journal of Materials Chemistry C, 2022) · cited 23× · AI/ML
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Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells

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Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells. Retrieved May 24, 2026, from https://4ort.xyz/entity/opportunities-and-challenges-for-machine-learning-to-select-combination-of-donor-and-acceptor-materials-for-efficient-or
MLA “Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/opportunities-and-challenges-for-machine-learning-to-select-combination-of-donor-and-acceptor-materials-for-efficient-or.
BibTeX @misc{4ortxyz_opportunities-and-challenges-for-machine-learning-to-select-combination-of-donor-and-acceptor-materials-for-efficient-or_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells}}, year = {2026}, url = {https://4ort.xyz/entity/opportunities-and-challenges-for-machine-learning-to-select-combination-of-donor-and-acceptor-materials-for-efficient-or}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells — https://4ort.xyz/entity/opportunities-and-challenges-for-machine-learning-to-select-combination-of-donor-and-acceptor-materials-for-efficient-or (retrieved 2026-05-24)

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