Towards Quantum Monte Carlo Forces on Heavier Ions: Scaling Properties
arXiv:2103.12782 · doi:10.1063/5.0052266
Abstract
Quantum Monte Carlo (QMC) forces have been studied extensively in recent decades because of their importance with spectroscopic observables and geometry optimization. Here we benchmark the accuracy and statistical cost of QMC forces. The zero-variance zero-bias (ZVZB) force estimator is used in standard variational and diffusion Monte Carlo simulations with mean-field based trial wavefunctions and atomic pseudopotentials. Statistical force uncertainties are obtained with a recently developed regression technique for heavy tailed QMC data [P. Lopez Rios and G. J. Conduit, Phys. Rev. E 99, 063312 (2019)]. By considering selected atoms and dimers with elements ranging from H to Zn (), we assess the accuracy and the computational cost of ZVZB forces as the effective pseudopotential valence charge, , increases. We find that the cost of QMC energies and forces approximately follow simple power laws in . The force uncertainty grows more rapidly, leading to a best case cost scaling relationship of approximately for DMC. We find the affordable system size decreases as , insensitive to model assumptions or the use of "space warp" variance reduction. Our results predict the practical cost of obtaining forces for a range of materials, such as transition metal oxides where QMC forces have yet to be applied, and underscore the importance of further developing force variance reduction techniques, particularly for atoms with high $\zeff$.
arXiv comment12 pages, 7 figures
References in corpus (34)
- Interatomic potentials from first-principles calculations: the force-matching method
- QMCPACK : An open source ab initio Quantum Monte Carlo package for the electronic structure of atoms, molecules, and solids
- Optimization of quantum Monte Carlo wave functions by energy minimization
- Inhomogeneous backflow transformations in quantum Monte Carlo calculations
- Beyond the locality approximation in the standard diffusion Monte Carlo method
- A Data Ecosystem to Support Machine Learning in Materials Science
- QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion Quantum Monte Carlo
- Stable liquid Hydrogen at high pressure by a novel ab-initio molecular dynamics
- Zero-Variance Zero-Bias Principle for Observables in quantum Monte Carlo: Application to Forces
- Multi-Determinant Wave-functions in Quantum Monte Carlo
- A New Generation of Effective Core Potentials for Correlated Calculations
- Correlated sampling in quantum Monte Carlo: a route to forces
- Algorithmic differentiation and the calculation of forces by quantum Monte Carlo
- Phase diagram of hydrogen and a hydrogen-helium mixture at planetary conditions by Quantum Monte Carlo simulations
- New generation of effective core potentials from correlated calculations: 3d transition metal series
- Direct comparison of many-body methods for realistic electronic Hamiltonians
- New generation of effective core potentials from correlated calculations: 2nd row elements
- Ab-initio molecular dynamics simulation of liquid water by Quantum Monte Carlo
- Accurate, efficient and simple forces with Quantum Monte Carlo methods
- Simple formalism for efficient derivatives and multi-determinant expansions in quantum Monte Carlo
- Shape and Energy Consistent Pseudopotentials for Correlated Electron systems
- A new generation of effective core potentials from correlated calculations: 4s and 4p main group elements and first row additions
- Molecular properties by Quantum Monte Carlo: an investigation on the role of the wave function ansatz and the basis set in the water molecule
- Cohesive energy and structural parameters of binary oxides of groups IIA and IIIB from diffusion quantum Monte Carlo
- Methods for calculating forces within quantum Monte Carlo simulations
- Spin-Orbit Interactions in Electronic Structure Quantum Monte Carlo
- Transition metal oxides using quantum Monte Carlo
- Electronic Quantum Monte Carlo Calculations of Atomic Forces, Vibrations, and Anharmonicities
- Accelerated ab-initio Molecular Dynamics: probing the weak dispersive forces in dense liquid hydrogen
- Atomic forces by quantum Monte Carlo: application to phonon dispersion calculation
- Total forces in the diffusion Monte Carlo method with nonlocal pseudopotentials
- Minimum Energy Pathways via Quantum Monte Carlo
- A tail-regression estimator for heavy-tailed distributions of known tail indices and its application to continuum quantum Monte Carlo data
- Speeding up the ab initio diffusion Monte Carlo by a smart lattice regularization
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