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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.

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