Tantalum Equation of State with Uncertainty Quantification using Heterogeneous Data Sources
ORAL
Abstract
We apply uncertainty quantification (UQ) techniques to construct an updated SESAME equation of state (EOS) for tantalum by integrating ab initio and experimental data. Using density functional theory (DFT) phonon calculations within the quasi-harmonic approximation, we compute free energy and thermal expansion, incorporating these into the EOS generation framework. Tantalum, with its extensive experimental dataset, serves as a good test case for quantifying uncertainties in high-pressure and high-temperature regimes, where experimental data can be sparse or inconsistent. We also compare different EOS tables generated by subsets of data. By employing Markov Chain Monte Carlo (MCMC) methods, we combine disparate data sources in a coherent framework and quantify uncertainties associated with experimental and computational data.
LA-UR-25-20921
LA-UR-25-20921
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Presenters
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Sabrina J Li
Los Alamos National Laboratory (LANL)
Authors
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Sabrina J Li
Los Alamos National Laboratory (LANL)
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Mark A Mathis
Los Alamos National Laboratory
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Joshua Anthony Leveillee
Los Alamos National Laboratory
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Alfred C Farris
Los Alamos National Laboratory, Emory University
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John Tipton
Los Alamos National Laboratory
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Daniel A Rehn
Los Alamos National Laboratory (LANL)