47 citations · 111 across the 6 of their papers we have counts for
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physics.comp-ph2024★ 44 cited
Universal materials model of deep-learning density functional theory Hamiltonian
Yuxiang Wang, Yang Li, Zechen Tang +14
Realizing large materials models has emerged as a critical endeavor for materials research in the new era of artificial intelligence, but how to achieve this fantastic and challeng…
cond-mat.mes-hall2024★ 4 cited
Imaging moiré flat bands and Wigner molecular crystals in twisted bilayer MoTe2
Yufeng Liu, Yu Gu, Ting Bao +16
Two-dimensional semiconducting moiré materials have emerged as a highly tunable platform for exploring novel quantum phenomena. Recently, tMoTe2 has attracted significant attention…
cond-mat.mtrl-sci2024
Deep-Learning Database of Density Functional Theory Hamiltonians for Twisted Materials
Ting Bao, Runzhang Xu, He Li +5
Moiré-twisted materials have garnered significant research interest due to their distinctive properties and intriguing physics. However, conducting first-principles studies on such…