2024
DOI: 10.1088/2632-2153/ad2626
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Deep energy-pressure regression for a thermodynamically consistent EOS model

Dayou Yu,
Deep Shankar Pandey,
Joshua Hinz
et al.

Abstract: In this paper, we aim to explore novel machine learning (ML) techniques to facilitate and accelerate the construction of universal Equation-Of-State (EOS) models with a high accuracy while ensuring important thermodynamic consistency. When applying ML to fit a universal EOS model, there are two key requirements: (1) a high prediction accuracy to ensure precise estimation of relevant physics properties and (2) physical interpretability to support important physics-related downstream applications. We first iden… Show more

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References 49 publications
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