Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo Study
Researchers used a deep neural network quantum Monte Carlo method to find a candidate ground-state structure for high-pressure solid hydrogen with Cmcm symmetry. The simulation identified an orthorhombic structure that matches experimental XRD patterns and spectroscopic data, suggesting it is the stable phase under high pressure.