Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics

Exploring excitation energy transfer (EET) in light-harvesting complexes (LHCs) is essential for understanding the natural processes and design of highly-efficient photovoltaic devices. LHCs are open systems, where quantum effects may play a crucial role for almost perfect utilization of solar energ...

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Detalles Bibliográficos
Autores principales: Ullah, Arif, Dral, Pavlo O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001686/
https://www.ncbi.nlm.nih.gov/pubmed/35411054
http://dx.doi.org/10.1038/s41467-022-29621-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001686/
https://www.ncbi.nlm.nih.gov/pubmed/35411054
http://dx.doi.org/10.1038/s41467-022-29621-w

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