Stable solid molecular hydrogen above 900K from a machine-learned potential trained with diffusion Quantum Monte Carlo
arXiv:2209.00658 · doi:10.1103/PhysRevLett.130.076102
Abstract
We survey the phase diagram of high-pressure molecular hydrogen with path integral molecular dynamics using a machine-learned interatomic potential trained with Quantum Monte Carlo forces and energies. Besides the HCP and C2/c-24 phases, we find two new stable phases both with molecular centers in the Fmmm-4 structure, separated by a molecular orientation transition with temperature. The high temperature isotropic Fmmm-4 phase has a reentrant melting line with a maximum at higher temperature (1450K at 150GPa) than previously estimated and crosses the liquid-liquid transition line around 1200K and 200GPa.
arXiv comment4 pages, 4 figures, updated acknowledgment
References in corpus (22)
- Quantum ESPRESSO: a modular and open-source software project for quantum simulations of materials
- Advanced capabilities for materials modelling with Quantum ESPRESSO
- Gaussian Approximation Potentials: the accuracy of quantum mechanics, without the electrons
- Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
- On-the-fly machine learning force field generation: Application to melting points
- Observation of the Wigner-Huntington Transition to Solid Metallic Hydrogen
- i-PI 2.0: A Universal Force Engine for Advanced Molecular Simulations
- QMCPACK : An open source ab initio Quantum Monte Carlo package for the electronic structure of atoms, molecules, and solids
- Deep Potential: a general representation of a many-body potential energy surface
- The Finite Size Error in Many-body Simulations with long-Ranged Interactions
- Nuclear Quantum Effects and Nonlocal Exchange-Correlation Functionals Applied to Liquid Hydrogen at High Pressure
- Evidence for supercritical behavior of high-pressure liquid hydrogen
- QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion Quantum Monte Carlo
- The Melting Line of Hydrogen at High Pressures
- Theory of Finite Size Effects for Electronic Quantum Monte Carlo Calculations of Liquids and Solids
- Quantum Monte Carlo study of the phase diagram of solid molecular hydrogen at extreme pressures
- Nonadiabatic corrections to the wave function and energy
- Accurate, efficient and simple forces with Quantum Monte Carlo methods
- Benchmarking Hydrogen-Helium Mixtures with QMC: Energetics, Pressures, and Forces
- Energy gap closure of crystalline molecular hydrogen with pressure
- High pressure hydrogen by machine learning and quantum Monte Carlo
- Understanding high pressure hydrogen with a hierarchical machine-learned potential
Cited by in corpus (16)
- First principles simulations of dense hydrogen
- Deep Variational Free Energy Approach to Dense Hydrogen
- Accurate quantum Monte Carlo forces for machine-learned force fields: Ethanol as a benchmark
- Calculation of the energies of the multideterminant states of the nitrogen vacancy center in diamond with quantum Monte Carlo
- Training models using forces computed by stochastic electronic structure methods
- Quantifying errors of the electron-proton/muon correlation functionals through the Kohn-Sham inversion of a two-component model system
- Basis set incompleteness errors in fixed-node diffusion Monte Carlo calculations on non-covalent interactions
- A brief introduction to the diffusion Monte Carlo method and the fixed-node approximation
- Efficient calculation of unbiased atomic forces in ab initio Variational Monte Carlo
- Hydrogen liquid-liquid transition from first principles and machine learning
- Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching
- Deep variational free energy prediction of dense hydrogen solid at 1200K
- Gaussian Processes for Finite Size Extrapolation of Many-Body Simulations
- Neural Wave Functions for High-Pressure Atomic Hydrogen
- A Denser Hydrogen Inferred from First-Principles Simulations Challenges Jupiter's Interior Models
- Fast Evaluation of Unbiased Atomic Forces in ab initio Variational Monte Carlo via the Lagrangian Technique