Machine Learning Exciton Hamiltonians in Light-Harvesting Complexes

[Image: see text] We propose a machine learning (ML)-based strategy for an inexpensive calculation of excitonic properties of light-harvesting complexes (LHCs). The strategy uses classical molecular dynamics simulations of LHCs in their natural environment in combination with ML prediction of the ex...

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Detalles Bibliográficos
Autores principales: Cignoni, Edoardo, Cupellini, Lorenzo, Mennucci, Benedetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933434/
https://www.ncbi.nlm.nih.gov/pubmed/36701385
http://dx.doi.org/10.1021/acs.jctc.2c01044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933434/
https://www.ncbi.nlm.nih.gov/pubmed/36701385
http://dx.doi.org/10.1021/acs.jctc.2c01044

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