Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session L43: First-principles modeling of excited-state phenomena in materials VII: Electronic excitations: DFT and Beyond
8:00 AM–11:00 AM,
Wednesday, March 4, 2020
Room: 702
Sponsoring
Units:
DCOMP DMP DCP
Chair: Michiel van Setten, IMEC
Abstract: L43.00001 : Transition to metallization in warm dense helium-hydrogen mixtures using stochastic density functional theory*
Presenter:
Eran Rabani
(University of California, Berkeley)
Authors:
Yael Cytter
(The Hebrew University of Jerusalem)
Eran Rabani
(University of California, Berkeley)
Daniel Neuhauser
(University of California, Los Angeles)
Martin Preising
(University of Rostock)
Ronald A. Redmer
(University of Rostock)
Roi Baer
(The Hebrew University of Jerusalem)
In this talk, I will review our recent developments to calculate the KS conductivity within the stochastic DFT framework, which requires knowledge only of the KS Hamiltonian but not its eigenstates and values. The method allows for an accurate description of the entire spectrum, including the high-frequency range, unlike the deterministic method which is compelled to introduce a high-frequency cutoff due to memory and computational time constraints. The computational effort associated with the method scales linearly with system size and reduces in proportion to the temperature, unlike the cubic increase with traditional deterministic approaches.
We applied the method to helium-hydrogen mixtures in the warm dense matter regime at temperatures of ∼60,000 K and find that the system displays two conductivity phases, where a transition from nonmetal to metal occurs when hydrogen atoms constitute ∼0.3 of the total atoms in the system.
*Work supported in part by the Center for Computational Study of Excited State Phenomena in Energy Materials (C2SEPEM) at the Lawrence Berkeley National Laboratory, which is funded by the U.S. Department of Energy, Office of Science, Basic energy Sciences, Materials Sciences and Engineering Division under Contract No. DEAC02- 05CH11231 as part of the Computational Materials Sciences Program.
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