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A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks
Author(s) -
Steffen Schotthöfer,
Tianbai Xiao,
Martin Frank,
Cory D. Hauck
Publication year - 2021
Publication title -
aiaa aviation 2019 forum
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2021-2895
Subject(s) - moment closure , closure (psychology) , moment (physics) , artificial neural network , mathematical optimization , computer science , entropy (arrow of time) , mathematics , partial differential equation , physical system , boltzmann equation , boltzmann constant , statistical physics , physics , artificial intelligence , mathematical analysis , classical mechanics , mechanics , quantum mechanics , economics , turbulence , market economy , thermodynamics

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