First-principles derivation of an average-atom model from the many-body Hamiltonian of coupled electrons and ions

ORAL

Abstract

In simulations of the warm dense matter regime, it is typical to use a combined finite-temperature Kohn-Sham density-functional theory (KS-DFT) and molecular dynamics approach. However, in KS-DFT, (i) scaling worsens with increasing temperature, and (ii) temperature dependence is usually neglected in the exchange-correlation (XC) functional. We present a derivation from first-principles which reduces the full many-body Hamiltonian to an average-atom model in the dilute gas limit, which significantly reduces the computational cost of the KS-DFT calculation. We also show preliminary results including a comparison of temperature-dependent and zero-temperature XC functionals.

*We acknowledge funding by the Center for Advanced Systems Understanding (CASUS) which is financed by the German Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture, and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly-owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

Presenters

  • Timothy J Callow

    • Center for Advanced Systems Understanding (CASUS)

Authors

  • Timothy J Callow

    • Center for Advanced Systems Understanding (CASUS)
  • Eli Kraisler

    • Hebrew University of Jerusalem
    • Fritz Haber Center for Molecular Dynamics, The Hebrew University of Jerusalem
  • Stephanie B Hansen

    • Sandia National Laboratories
  • Eberhard K Gross

    • Hebrew University of Jerusalem
  • Attila Cangi

    • CASUS, Helmholtz Zentrum Dresden-Rossendorf
    • Center for Advanced Systems Understanding (CASUS)
    • Helmholtz Zentrum Dresden-Rossendorf
    • Center for Advanced Systems Understanding (CASUS), Helmholtz Zentrum Dresden-Rossendorf