9 citations · 12 across the 5 of their papers we have counts for
5 papers
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…
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…
Deep variational free energy prediction of dense hydrogen solid at 1200K
Xinyang Dong, Hao Xie, Yixiao Chen +4
We perform deep variational free energy calculations to investigate the dense hydrogen system at 1200 K and high pressures. In this computational framework, neural networks are use…
Symmetry adaptation for self-consistent many-body calculations
Xinyang Dong, Emanuel Gull
The exploitation of space group symmetries in numerical calculations of periodic crystalline solids accelerates calculations and provides physical insight. We present results for a…
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…