Atomic forces by quantum Monte Carlo: application to phonon dispersion calculation
arXiv:2012.01264 · doi:10.1103/PhysRevB.103.L121110
Abstract
We report the first successful application of the {\it ab initio} quantum Monte Carlo (QMC) framework to a phonon dispersion calculation. A full phonon dispersion of diamond is successfully calculated at the variational Monte Carlo (VMC) level, based on the frozen-phonon technique. The VMC-phonon dispersion is in good agreement with the experimental results, giving renormalized harmonic optical frequencies very close to the experimental values, by significantly improving upon density functional theory (DFT) in the generalized gradient approximation. Key to success for the QMC approach is the statistical error reduction in atomic force evaluation. We show that this can be achieved by using well conditioned atomic basis sets, by explicitly removing the basis-set redundancy, which reduces the statistical error of forces by up to two orders of magnitude. This leads to affordable and accurate QMC-phonons calculations, up to times more efficient than previous attempts, and paves the way to new applications, particularly in correlated materials, where phonons have been poorly reproduced so far.
10 pages
References in corpus (27)
- SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
- Quantum ESPRESSO: a modular and open-source software project for quantum simulations of materials
- Phonons and related properties of extended systems from density-functional perturbation theory
- High-accuracy first-principles determination of the structural, vibrational and thermodynamical properties of diamond, graphite, and derivatives
- Jastrow correlation factor for atoms, molecules, and solids
- Impact of the electron-electron correlation on phonon dispersions: failure of LDA and GGA functionals in graphene and graphite
- Weak binding between two aromatic rings: feeling the van der Waals attraction by quantum Monte Carlo methods
- Geminal wavefunctions with Jastrow correlation: a first application to atoms
- Stable liquid Hydrogen at high pressure by a novel ab-initio molecular dynamics
- Diffusion Monte Carlo with lattice regularization
- Algorithmic differentiation and the calculation of forces by quantum Monte Carlo
- Calculated phonon spectra of paramagnetic iron at the alpha-gamma phase transition
- Phase transformation in Si from semiconducting diamond to metallic beta-Sn phase in QMC and DFT under hydrostatic and anisotropic stress
- Photoemission kinks and phonons in cuprates
- TurboRVB: a many-body toolkit for {\it ab initio} electronic simulations by quantum Monte Carlo
- Vibrational spectrum and electron-phonon coupling of doped solid picene from first principles
- First-principles Calculation of Atomic Forces and Structural Distortions in Strongly Correlated Materials
- Correlation-Driven Dimerization and Topological Gap Opening in Isotropically Strained Graphene
- The fate of the resonating valence bond in graphene
- Ab-initio calculations for the beta-tin diamond transition in Silicon: comparing theories with experiments
- Systematically convergent method for accurate total energy calculations with localized atomic orbitals
- Local and non-local electron-phonon couplings in K3Picene and the effect of metallic screening
- Optimized structure and vibrational properties by error affected potential energy surfaces
- All-electron quantum Monte Carlo with Jastrow single determinant Ansatz: application to the sodium dimer
- Speeding up the ab initio diffusion Monte Carlo by a smart lattice regularization
- Improper s-wave symmetry for the electronic pairing in iron-based superconductors by first-principles calculation
- Direct evaluation of the force constant matrix in quantum Monte Carlo
Cited by in corpus (15)
- Ab initio study of lattice dynamics of group IV semiconductors using pseudohybrid functionals for extended Hubbard interactions
- Towards Quantum Monte Carlo Forces on Heavier Ions: Scaling Properties
- Probing anharmonic phonons by quantum correlators: A path integral approach
- Principal deuterium Hugoniot via Quantum Monte Carlo and -learning
- TurboGenius: Python suite for high-throughput calculations of ab initio quantum Monte Carlo methods
- Computation of forces and stresses in solids: Towards accurate structural optimization with auxiliary-field quantum Monte Carlo
- Phase transitions and spin-state of iron in FeO at the conditions of Earth's deep interior
- Phonons of metallic hydrogen with quantum Monte Carlo
- Toward improved property prediction of 2D materials using many-body quantum Monte Carlo methods
- Candidate structure for the H-PRE phase of solid hydrogen
- Precisely computing phonons via irreducible derivatives
- Efficient calculation of unbiased atomic forces in ab initio Variational Monte Carlo
- Deep learning quantum Monte Carlo for solids
- Self-consistency error correction for accurate machine learning potentials from variational Monte Carlo
- Fast Evaluation of Unbiased Atomic Forces in ab initio Variational Monte Carlo via the Lagrangian Technique