47 citations · 111 across the 6 of their papers we have counts for
6 papers
Transfer learning electronic structure: millielectron volt accuracy for sub-million-atom moiré semiconductor
Ting Bao, Ning Mao, Wenhui Duan +3
The integration of density functional theory (DFT) with machine learning enables efficient \textit{ab initio} electronic structure calculations for ultra-large systems. In this wor…
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…
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…
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…
Transfer learning relaxation, electronic structure and continuum model for twisted bilayer MoTe
Ning Mao, Cheng Xu, Jiangxu Li +6
Large-scale moiré systems are extraordinarily sensitive, with even minute atomic shifts leading to significant changes in electronic structures. Here, we investigate the lattice re…
Revealing the two-dimensional electronic structure and anisotropic superconductivity in a natural van der Waals superlattice (PbSe)NbSe
Haoyuan Zhong, Hongyun Zhang, Haoxiong Zhang +12
Van der Waals superlattices are important for tailoring the electronic structures and properties of layered materials. Here we report the superconducting properties and electronic…