Learning thermodynamically constrained equations of state with uncertainty
Author:
Affiliation:
1. Department of Civil and Systems Engineering, Johns Hopkins University 1 , Baltimore, Maryland 21212, USA
2. Lawrence Livermore National Laboratory 2 , 7000 East Ave., Livermore, California 94550, USA
Abstract
Funder
Defense Threat Reduction Agency
Lawrence Livermore National Laboratory
Publisher
AIP Publishing
Link
https://pubs.aip.org/aip/aml/article-pdf/doi/10.1063/5.0165298/18289954/016102_1_5.0165298.pdf
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1. A review of equation-of-state models for inertial confinement fusion materials;Gaffney;High Energy Density Phys.,2018
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3. Optimization of equation of state and burn model parameters for explosives;Bergh;AIP Conf. Proc.,2018
4. Fitting of a multiphase equation of state with swarm intelligence;Cox;J. Phys.: Condens. Matter,2015
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