Measuring the melting curve of iron at super-Earth core conditions
The discovery of more than 4500 extrasolar planets has created a need for modeling their
interior structure and dynamics. Given the prominence of iron in planetary interiors, we …
interior structure and dynamics. Given the prominence of iron in planetary interiors, we …
Development of a multiphase beryllium equation of state and physics-based variations
CJ Wu, PC Myint, JE Pask, CJ Prisbrey… - The Journal of …, 2021 - ACS Publications
We construct a family of beryllium (Be) multiphase equation of state (EOS) models that
consists of a baseline (“optimal”) EOS and variations on the baseline to account for physics …
consists of a baseline (“optimal”) EOS and variations on the baseline to account for physics …
[HTML][HTML] Uncertainty quantification for a multi-phase carbon equation of state model
Many physics models have tunable parameters that are calibrated by matching the model
output to experimental or calculated data. However, given that calibration data often contain …
output to experimental or calculated data. However, given that calibration data often contain …
[HTML][HTML] Neural network surrogate models for equations of state
Equation of state (EOS) data provide necessary information for accurate multiphysics
modeling, which is necessary for fields such as inertial confinement fusion. Here, we …
modeling, which is necessary for fields such as inertial confinement fusion. Here, we …
[HTML][HTML] Learning thermodynamically constrained equations of state with uncertainty
Numerical simulations of high energy-density experiments require equation of state (EOS)
models that relate a material's thermodynamic state variables—specifically pressure …
models that relate a material's thermodynamic state variables—specifically pressure …
[HTML][HTML] Uncertainty quantification for high explosive reactant and product equations of state
Equations of state (EOSs) are typically represented as physics-informed models with tunable
parameters that are adjusted to replicate calibration data as closely as possible. Uncertainty …
parameters that are adjusted to replicate calibration data as closely as possible. Uncertainty …
Constraining model uncertainty in plasma equation-of-state models with a physics-constrained Gaussian process
Equation-of-state (EOS) models underpin numerical simulations at the core of research in
high energy density physics, inertial confinement fusion, laboratory astrophysics, and …
high energy density physics, inertial confinement fusion, laboratory astrophysics, and …
Simultaneous inference of the compressibility and inelastic response of tantalum under extreme loading
We study the deformation of tantalum under extreme loading conditions. Experimental
velocity data are drawn from both ramp loading experiments on Sandia's Z-machine and gas …
velocity data are drawn from both ramp loading experiments on Sandia's Z-machine and gas …
[HTML][HTML] Obtaining the equation of state for multiphase iron under Earth's core conditions using Bayesian statistics
R Wu, S **ang, Y Sun, Y **an, Y Luo… - Journal of Applied Physics, 2025 - pubs.aip.org
Iron is the primary constituent element of Earth's core, and its equation of state plays a
pivotal role in understanding the thermodynamic properties of the core. However …
pivotal role in understanding the thermodynamic properties of the core. However …
Uncertainty quantified reactant and product equation of state for Composition B
Capturing the entirety of possible high explosive performance outcomes given limited
calibration data necessitates a full uncertainty quantification study. This is in contrast to the …
calibration data necessitates a full uncertainty quantification study. This is in contrast to the …