2 citations · 2 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
GPUTB-2:An efficient E(3) network method for learning high-precision orthogonal Hamiltonian
Yunlong Wang, Zhixin Liang, Chi Ding +5
Although equivariant neural networks have become a cornerstone for learning electronic Hamiltonians, the intrinsic non-orthogonality of linear combinations of atomic orbitals (LCAO…
cond-mat.supr-con2025★ 2 cited
Super-hard and superconducting boron clathrates in the prediction of U-B compounds
Juefei Wu, Dexi Shao, Junjie Wang +6
The binary metal borides provide a promising platform for searching unique materials with superconductivity and super-hardness under high pressure, owing to the distinctive bonding…
cond-mat.mtrl-sci2025
GPUTB: Efficient Machine Learning Tight-Binding Method for Large-Scale Electronic Properties Calculations
Yunlong Wang, Zhixin Liang, Chi Ding +5
The high computational cost of ab-initio methods limits their application in predicting electronic properties at the device scale. Therefore, an efficient method is needed to map t…