Machine Learning Moment Closure Models for the Radiative Transfer Equation II: Enforcing Global Hyperbolicity in Gradient-Based Closures
DOI10.1137/21m1423956arXiv2105.14410MaRDI QIDQ6109133
Wen-An Yong, Andrew J. Christlieb, Luke F. Roberts, Juntao Huang, Yingda Cheng
Publication date: 30 June 2023
Published in: Multiscale Modeling & Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2105.14410
moment closureneural networkhyperbolicitymachine learningradiative transfer equationlong time stability
Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Transport processes in time-dependent statistical mechanics (82C70) Finite difference methods for boundary value problems involving PDEs (65N06) Radiative transfer in astronomy and astrophysics (85A25) Integro-partial differential equations (35R09) First-order hyperbolic equations (35L02) Radiative heat transfer (80A21) Computational aspects of data analysis and big data (68T09)
Related Items (2)
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