Physics-enhanced neural networks for equation-of-state calculations

Rapid access to accurate equation-of-state (EOS) data is crucial in the warm-dense matter (WDM) regime, as it is employed in various applications, such as providing input for hydrodynamic codes to model inertial confinement fusion processes. In this study, we develop neural network models for predic...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Timothy J Callow, Jan Nikl, Eli Kraisler, Attila Cangi
Format:	Article
Language:	English
Published:	IOP Publishing 2023-01-01
Subjects:	equation-of-state calculations average-atom models physics-enhanced neural networks warm dense matter
Online Access:	https://doi.org/10.1088/2632-2153/ad13b9