Stochastic density functional theory combined with Langevin dynamics for warm dense matter

Fuente: arXiv
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Main Authors: Hadad, Rebecca Efrat, Roy, Argha, Rabani, Eran, Redmer, Ronald, Baer, Roi
Format: Preprint
Published: 2024
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author Hadad, Rebecca Efrat
Roy, Argha
Rabani, Eran
Redmer, Ronald
Baer, Roi
author_facet Hadad, Rebecca Efrat
Roy, Argha
Rabani, Eran
Redmer, Ronald
Baer, Roi
contents This study overviews and extends a recently developed stochastic finite-temperature Kohn-Sham density functional theory to study warm dense matter using Langevin dynamics, specifically under periodic boundary conditions. The method's algorithmic complexity exhibits nearly linear scaling with system size and is inversely proportional to the temperature. Additionally, a novel linear-scaling stochastic approach is introduced to assess the Kubo-Greenwood conductivity, demonstrating exceptional stability for DC conductivity. Utilizing the developed tools, we investigate the equation of state, radial distribution, and electronic conductivity of Hydrogen at a temperature of 30,000K. As for the radial distribution functions, we reveal a transition of Hydrogen from gas-like to liquid-like behavior as its density exceeds $4 g/cm^3$. As for the electronic conductivity as a function of the density, we identified a remarkable isosbestic point at frequencies around 7eV, which may be an additional signature of a gas-liquid transition in Hydrogen at 30,000K.
format Preprint
id arxiv_https___arxiv_org_abs_2401_11336
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stochastic density functional theory combined with Langevin dynamics for warm dense matter
Hadad, Rebecca Efrat
Roy, Argha
Rabani, Eran
Redmer, Ronald
Baer, Roi
Materials Science
Computational Physics
Plasma Physics
This study overviews and extends a recently developed stochastic finite-temperature Kohn-Sham density functional theory to study warm dense matter using Langevin dynamics, specifically under periodic boundary conditions. The method's algorithmic complexity exhibits nearly linear scaling with system size and is inversely proportional to the temperature. Additionally, a novel linear-scaling stochastic approach is introduced to assess the Kubo-Greenwood conductivity, demonstrating exceptional stability for DC conductivity. Utilizing the developed tools, we investigate the equation of state, radial distribution, and electronic conductivity of Hydrogen at a temperature of 30,000K. As for the radial distribution functions, we reveal a transition of Hydrogen from gas-like to liquid-like behavior as its density exceeds $4 g/cm^3$. As for the electronic conductivity as a function of the density, we identified a remarkable isosbestic point at frequencies around 7eV, which may be an additional signature of a gas-liquid transition in Hydrogen at 30,000K.
title Stochastic density functional theory combined with Langevin dynamics for warm dense matter
topic Materials Science
Computational Physics
Plasma Physics
url https://arxiv.org/abs/2401.11336