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Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning.

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Title: Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning.
Authors: Gray, Callum1,2 (AUTHOR) callum.gray@qmul.ac.uk, Chitnavis, Samir1,2 (AUTHOR), Buja, Tamara1,2 (AUTHOR), Duffy, Christopher D P1,2 (AUTHOR) callum.gray@qmul.ac.uk
Source: PLoS Computational Biology. 3/11/2025, Vol. 21 Issue 3, p1-27. 27p.
Database: Academic Search Ultimate
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  Data: Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 3/11/2025, Vol. 21 Issue 3, p1-27. 27p.
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        Value: 10.1371/journal.pcbi.1012845
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