Properties of carbon up to 10 million kelvin from Kohn-Sham density functional theory molecular dynamics

Mandy Bethkenhagen, Abhiraj Sharma, Phanish Suryanarayana, John E. Pask, Babak Sadigh, and Sebastien Hamel
Phys. Rev. E 107, 015306 – Published 24 January 2023

Abstract

Accurately modeling dense plasmas over wide-ranging conditions of pressure and temperature is a grand challenge critically important to our understanding of stellar and planetary physics as well as inertial confinement fusion. In this work, we employ Kohn-Sham density functional theory (DFT) molecular dynamics (MD) to compute the properties of carbon at warm and hot dense matter conditions in the vicinity of the principal Hugoniot. In particular, we calculate the equation of state (EOS), Hugoniot, pair distribution functions, and diffusion coefficients for carbon at densities spanning 8 g/cm3 to 16 g/cm3 and temperatures ranging from 100 kK to 10 MK using the Spectral Quadrature method. We find that the computed EOS and Hugoniot are in good agreement with path integral Monte Carlo results and the sesame database. Additionally, we calculate the ion-ion structure factor and viscosity for selected points. All results presented are at the level of full Kohn-Sham DFT-MD, free of empirical parameters, average-atom, and orbital-free approximations employed previously at such conditions.

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  • Received 3 October 2021
  • Revised 20 August 2022
  • Accepted 22 December 2022

DOI:https://doi.org/10.1103/PhysRevE.107.015306

©2023 American Physical Society

Physics Subject Headings (PhySH)

Plasma Physics

Authors & Affiliations

Mandy Bethkenhagen1,2,*, Abhiraj Sharma3, Phanish Suryanarayana3, John E. Pask1, Babak Sadigh1, and Sebastien Hamel1

  • 1Lawrence Livermore National Laboratory, Livermore, California 94550, USA
  • 2École Normale Supérieure de Lyon, Université Lyon 1, Laboratoire de Géologie de Lyon, CNRS UMR 5276, 69364 Lyon, Cedex 07, France
  • 3College of Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA

  • *mandy.bethkenhagen@ens-lyon.fr

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Vol. 107, Iss. 1 — January 2023

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