25 citations · 40 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2023★ 15 cited
Machine learning guided discovery of superconducting calcium borocarbides
Chao Zhang, Hui Tang, Chen Pan +4
Pursuit of superconductivity in light-element systems at ambient pressure is of great experimental and theoretical interest. In this work, we combine a machine learning (ML) method…
cond-mat.mtrl-sci2023
Structure and dynamics of Fe90Si3O7 liquids close to Earth's liquid core conditions
Ling Tang, Chao Zhang, Yang Sun +3
Using an artificial neural-network machine learning interatomic potential, we have performed molecular dynamics simulations to study the structure and dynamics of Fe90Si3O7 liquid…
cond-mat.mtrl-sci2022★ 25 cited
A deep machine learning potential for atomistic simulation of Fe-Si-O systems under Earth's outer core conditions
Chao Zhang, Ling Tang, Yang Sun +3
Using artificial neural-network machine learning (ANN-ML) to generate interatomic potentials has been demonstrated to be a promising approach to address the long-standing challenge…