Towards Quantum Monte Carlo Forces on Heavier Ions: Scaling Properties
Juha Tiihonen, Raymond C. Clay III, Jaron T. Krogel

TL;DR
This paper benchmarks the accuracy and computational cost of Quantum Monte Carlo forces for heavier ions, revealing how cost scales with effective charge and highlighting the need for improved variance reduction techniques.
Contribution
It provides the first detailed analysis of QMC force scaling with atomic number and introduces a regression technique for heavy-tailed data, informing future applications to complex materials.
Findings
Force cost scales approximately as Z_eff^6.5 in DMC.
System size decreases as Z_eff^{-2}, regardless of variance reduction methods.
Force uncertainties grow rapidly with increasing Z_eff, impacting computational feasibility.
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…
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Taxonomy
TopicsNuclear Materials and Properties · Machine Learning in Materials Science · Nuclear Physics and Applications
