Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds

2 September 2021

Papers citing "Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds"

4 / 4 papers shown

Title
A TVD neural network closure and application to turbulent combustionJournal of Computational Physics (JCP), 2024 Seung Won Suh J. MacArt Luke N Olson Jonathan B Freund PINN 161 2 0 06 Aug 2024
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system Steffen Schotthöfer M. P. Laiu Martin Frank C. Hauck 156 1 0 22 Apr 2024
Machine learning moment closure models for the radiative transfer equation II: enforcing global hyperbolicity in gradient based closuresMultiscale Modeling & simulation (MMS), 2021 Juntao Huang Yingda Cheng Andrew J. Christlieb L. Roberts W. Yong AI4CE 141 21 0 30 May 2021
Machine learning moment closure models for the radiative transfer equation I: directly learning a gradient based closureJournal of Computational Physics (JCP), 2021 Juntao Huang Yingda Cheng Andrew J. Christlieb L. Roberts AI4CE 123 36 0 12 May 2021