Machine-learning-assisted density functional theory for predicting transparent conducting materials

Physical Review Applied 2026

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Authors: Yang Huang, Gui Wang, Shaogang Xu, Yiguo Xu, Da Li, Menglin Huang, Lars Samuelson, Xiao Wei Sun
DOI: 10.1103/br17-vmg2
Cited by: 1
References: 40

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Physical and Chemical Molecular Interactions Inorganic Chemistry and Materials

Publication details

Journal / source
Physical Review Applied
Publisher
American Physical Society (APS)
Volume
25
Issue
1
Publication date
6 January 2026
Language
EN