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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Auteurs principaux: Florian Häse, Loïc M. Roch, Pascal Friederich, Alán Aspuru-Guzik
Format: article
Langue:EN
Publié: Nature Portfolio 2020
Sujets:
Q
Accès en ligne:https://doaj.org/article/8e95f0aafa4d4b12ab2e077e5b7f3b6f
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