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Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach
Research article (Journal of Materials Chemistry C, 2025) · cited 10× · AI/ML
Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach
Summary
Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach is a scholarly article[1].
Key Facts
Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/molecular-design-of-organic-photovoltaic-donors-and-non-fullerene-acceptors-a-combined-machine-learning-and-genetic-algo
MLA“Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/molecular-design-of-organic-photovoltaic-donors-and-non-fullerene-acceptors-a-combined-machine-learning-and-genetic-algo.
BibTeX@misc{4ortxyz_molecular-design-of-organic-photovoltaic-donors-and-non-fullerene-acceptors-a-combined-machine-learning-and-genetic-algo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach}}, year = {2026}, url = {https://4ort.xyz/entity/molecular-design-of-organic-photovoltaic-donors-and-non-fullerene-acceptors-a-combined-machine-learning-and-genetic-algo}, note = {Accessed: 2026-05-24}}
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