85 / 2023-04-13 10:38:16
Implementation of plane-wave-based stochastic-deterministic density functional theory for extended systems in ABACUS
Abstract Accepted
千锐 刘 / 北京大学
默涵 陈 / 北京大学应用物理与技术研究中心
Traditional Kohn-Sham density functional theory (KSDFT) is one of the most popular quantum-mechanics-based methods in modeling materials since it balances accuracy and efficiency well. However, traditional KSDFT based on the diagonalization method (DG) must solve all occupied bands. The number of bands rises with the increase of temperature and sizes, and the CPU time of KSDFT calculation scales as O(N3T3). Thus, it is inefficient to simulate large-size and high-temperature systems. The evaluation of the ground-state density in KSDFT can be replaced by the Chebyshev trace (CT) method. Recently, stochastic density functional theory1,2 (SDFT) and its improved theory, mixed stochastic-deterministic density functional theory3 (MDFT) are developed based on the CT method and stochastic orbitals, which makes it possible to simulate large-size and high-temperature systems more efficiently. We have implemented the four methods based on the plane-wave basis set within the first-principles package ABACUS. In addition, all methods are adapted to the norm-conserving pseudopotentials and periodic boundary conditions using k-point sampling in the Brillouin zone. By testing the Si and C systems from the DG method as benchmarks, we systematically evaluate the accuracy and efficiency of the SDFT and MDFT methods by examining a series of physical properties, which include electron density, free energy, atomic forces, stress, and density of states. We conclude that they not only reproduce the DG results with sufficient accuracy but also exhibit several advantages over the DG method. We expect these methods can be of great help in studying both large-size systems and high-temperature systems.
Important Date
  • Conference Date

    Jun 05

    2023

    to

    Jun 09

    2023

  • Apr 30 2023

    Early Bird Registration

  • May 01 2023

    Abstract Submission Deadline

  • May 01 2023

    Abstract Notification of Acceptance

  • May 01 2023

    Draft paper submission deadline

  • May 31 2023

    Registration deadline

Sponsored By
Science and Technology on Plasma Physics Laboratory
Department of Astronomy, Beijing Normal University
Organized By
Matter and Radiation at Extremes
Institute of Fluid Physics, China Academy of Engineering Physics, China
Institute of Applied Physics and Computational Mathematics, Beijing, China
Contact Information