Computation of forces and stresses in solids: Towards accurate structural optimization with auxiliary-field quantum Monte Carlo
Siyuan Chen, Shiwei Zhang

TL;DR
This paper presents a method using auxiliary-field quantum Monte Carlo (AFQMC) to accurately compute forces and stresses in solids, enabling precise structural optimization and phonon spectrum calculations in bulk materials.
Contribution
The paper introduces a novel AFQMC-based approach for calculating energy derivatives in solids, overcoming previous technical challenges and enabling full geometry optimizations.
Findings
Accurate force and stress calculations in solids using AFQMC.
Implementation of back-propagation for energy gradients.
Feasibility of geometry optimization and phonon spectrum computation.
Abstract
The accurate computation of forces and other energy derivatives has been a long-standing challenge for quantum Monte Carlo methods. A number of technical obstacles contribute to this challenge. We discuss how these obstacles can be removed with the auxiliary-field quantum Monte Carlo (AFQMC) approach. AFQMC is a general, high-accuracy, many-body total-energy method for molecules and solids. The implementation of back-propagation for pure estimators allows direct calculation of gradients of the energy via the Hellmann-Feynman theorem. A planewave basis with norm-conserving pseudopotentials is used for the study of periodic bulk materials. Completeness of the planewave basis minimizes the effect of so-called Pulay terms. The ionic pseudopotentials, which can be incorporated in AFQMC in exactly the same manner as in standard independent-electron methods, regulate the force and stress…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · High-pressure geophysics and materials
