3 papers
cond-mat.str-el2025
Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo Study
Shengdu Chai, Chen Lin, Xinyang Dong +4
The crystal structure of high-pressure solid hydrogen remains a fundamental open problem. Although the research frontier has mostly shifted toward ultra-high pressure phases above…
cond-mat.str-el2025
Deep Variational Free Energy Calculation of Hydrogen Hugoniot
Zihang Li, Hao Xie, Xinyang Dong +1
We develop a deep variational free energy framework to compute the equation of state of hydrogen in the warm dense matter region. This method parameterizes the variational density…
physics.chem-ph2023
Equivariant neural network for Green's functions of molecules and materials
Xinyang Dong, Emanuel Gull, Lei Wang
The many-body Green's function provides access to electronic properties beyond density functional theory level in ab inito calculations. In this manuscript, we propose a deep learn…