Machine Learning-Corrected Simplified Time-Dependent DFT for Systems With Inverted Single-t-o-Triplet Gaps of Interest for Photocatalytic Water Splitting

Machine Learning-Corrected Simplified Time-Dependent DFT for Systems With Inverted Single-t-o-Triplet Gaps of Interest for Photocatalytic Water Splitting

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Détails bibliographiques
Publié dans:Journal of computational chemistry. - 1984. - 46(2025), 1 vom: 05. Jan., Seite e70006
Auteur principal: Curtis, Kevin (Auteur)
Autres auteurs: Odoh, Samuel O
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:Journal of computational chemistry
Sujets:Journal Article excited‐state hydrogen machine learning photocatalyst triangulene
Accès en ligne Volltext