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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Bibliographische Detailangaben
Veröffentlicht in: | Langmuir : the ACS journal of surfaces and colloids. - 1985. - 40(2024), 13 vom: 02. Apr., Seite 7087-7094
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1. Verfasser: |
Zhang, Qingwei
(VerfasserIn) |
Weitere Verfasser: |
Cai, Lin,
Liao, Ningsheng,
Lu, Yunhua,
Zhang, Junan,
Zhang, Chao,
Zeng, Kangli |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2024
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Zugriff auf das übergeordnete Werk: | Langmuir : the ACS journal of surfaces and colloids
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Schlagworte: | Journal Article |