First-Principles Equation of State Database for Warm Dense Matter Computation
Burkhard Militzer, Felipe Gonzalez-Cataldo, Shuai Zhang, Kevin P., Driver, and Francois Soubiran

TL;DR
This paper presents a comprehensive first-principles equation of state database for warm dense matter, covering numerous elements and compounds, enabling accurate modeling of extreme conditions relevant to planetary science and inertial confinement fusion.
Contribution
The authors compile and provide a large, first-principles-based EOS database for multiple materials at extreme conditions, including new Hugoniot curves and mixture properties.
Findings
Hugoniot curves for various materials and mixtures are computed.
Maximum shock compression ratios are predicted for key substances.
Mixture properties show higher compression than pure endmembers.
Abstract
We put together a first-principles equation of state (FPEOS) database for matter at extreme conditions by combining results from path integral Monte Carlo and density functional molecular dynamics simulations of the elements H, He, B, C, N, O, Ne, Na, Mg, Al and Si as well as the compounds LiF, B4C, BN, CH4, CH2, C2H3, CH, C2H, MgO, and MgSiO3. For all these materials, we provide the pressure and internal energy over a density-temperature range from ~0.5 to 50 g/cc and from ~10^4 to 10^9 K, which are based on ~5000 different first-principles simulations. We compute isobars, adiabats and shock Hugoniot curves in the regime of L and K shell ionization. Invoking the linear mixing approximation, we study the properties of mixtures at high density and temperature. We derive the Hugoniot curves for water and alumina as well as for carbon-oxygen, helium-neon, and CH-silicon mixtures. We…
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Taxonomy
TopicsNeural Networks and Applications
