Enhanced Twist-Averaging Technique for Magnetic Metals: Applications using Quantum Monte Carlo

ORAL

Abstract

We propose an improved twist-averaging scheme for quantum Monte Carlo methods that use converged Kohn-Sham or Hartree-Fock orbitals as the reference. This twist-averaging technique is tailored to sample the Brillouin zone of magnetic metals, though it naturally extends to nonmagnetic systems. The proposed scheme aims to reproduce the reference magnetization and achieves charge neutrality by construction, thus avoiding the large energy fluctuations and the post-processing needed to correct the energies. It shows the most robust convergence of total energy and magnetism to the thermodynamic limit when compared against four other twist-averaging schemes. Diffusion Monte Carlo applications are shown on nonmagnetic Al and ferromagnetic α-Fe. The thermodynamic limit cohesive energy of Al shows an excellent agreement with the experimental result.

* This work has been supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, as part of the Computational Materials Sciences Program and Center for Predictive Simulation of Functional Materials.An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program.This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract No. DE-AC02-06CH11357.This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract No. DE-AC05-00OR22725.This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231.

Presenters

  • Abdulgani Annaberdiyev

    Oak Ridge National Lab

Authors

  • Abdulgani Annaberdiyev

    Oak Ridge National Lab

  • Ganesh Panchapakesan

    Oak Ridge National Lab, Oak Ridge National Laboratory

  • Jaron T Krogel

    Oak Ridge National Lab