Probing the structure and phonon properties of solids with auxiliary-field quantum Monte Carlo

ORAL

Abstract

Determining the accurate structure of a material is a critical step in understanding its physics. Predictive computations in correlated materials remain a major challenge. We present a direct, ab initio computation of forces and stresses with auxiliary-field quantum Monte Carlo (AFQMC) using planewave basis and multiple projector pseudopotentials. Our method potentially allows determination of the potential energy surface at a much higher efficiency than an approach based on total energies alone. In addition, we propose a fast and robust structural optimization algorithm [1] for optimizations when the forces or gradients are statistically noisy. Applying this algorithm in combination with forces and stresses computed by AFQMC, we demonstrate efficient, accurate, and full degrees-of-freedom optimizations in solids. Furthermore, we show that the AFQMC forces can be used to obtain accurate phonon spectra in solids.

*Supported by the Simons Foundation. SC is also supported by DOE under Grant No. DE-SC0001303.

Publication: [1] S. Chen and S. Zhang, arXiv:2204.12074 (2022), in press at Nature Computational Science.

Presenters

  • Siyuan Chen

    • William & Mary

Authors

  • Siyuan Chen

    • William & Mary
  • Shiwei Zhang

    • Flatiron Institute, Simons Foundation
    • Simons Foundation
    • Center for Computational Quantum Physics, Flatiron Institute
    • Center for Computational Quantum Physics, Flatiron Institute, New York, NY 10010, USA
    • Flatiron Institute