Designing and understanding light-harvesting devices with machine learning

Photon-induced charge separation phenomena are at the heart of light-harvesting applications but challenging to be described by quantum mechanical models. Here the authors illustrate the potential of machine-learning approaches towards understanding the fundamental processes governing electronic exc...

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Autores principales: Florian Häse, Loïc M. Roch, Pascal Friederich, Alán Aspuru-Guzik
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/8e95f0aafa4d4b12ab2e077e5b7f3b6f
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