Work Function Prediction by Graph Neural Networks for Configurationally Hybridized Boron-Doped Graphene

Graphene, serving as electrodes, is widely applied in electronic and optoelectronic devices. Work function as one of the fundamental intrinsic characteristics of graphene directly affects the interfacial properties of the electrodes, thereby affecting the performance of the devices. Much work has be...

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Publié dans:Langmuir : the ACS journal of surfaces and colloids. - 1985. - 40(2024), 13 vom: 02. Apr., Seite 7087-7094
Auteur principal: Zhang, Qingwei (Auteur)
Autres auteurs: Cai, Lin, Liao, Ningsheng, Lu, Yunhua, Zhang, Junan, Zhang, Chao, Zeng, Kangli
Format: Article en ligne
Langue:English
Publié: 2024
Accès à la collection:Langmuir : the ACS journal of surfaces and colloids
Sujets:Journal Article