85 citations · 86 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2022★ 85 cited
Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids
Yang Zhong, Hongyu Yu, Mao Su +2
Using the message-passing mechanism in machine learning (ML) instead of self-consistent iterations to directly build the mapping from structures to electronic Hamiltonian matrices…
cond-mat.mtrl-sci2022★ 1 cited
Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates
Mao Su, Ji-Hui Yang, Hong-Jun Xiang +1
Despite the successes of machine learning methods in physical sciences, prediction of the Hamiltonian, and thus electronic properties, is still unsatisfactory. Here, based on graph…