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Accelerating Hypersonic Reentry Simulations Using Deep Learning-Based Hybridization (with Guarantees)

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Outgoing claims: the papers this work cites, builds on, or argues with.

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POLYNOMIAL-CHAOS-BASED KRIGING
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Navier-Stokes Simulations of Hypersonic Flows with Coupled Graphite Ablation
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Strongly Coupled Computation of Material Response and Nonequilibrium Flow for Hypersonic Ablation
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Laminar to turbulent transition prediction in hypersonic flows with neural networks committee
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29th AIAA Applied Aerodynamics Conference
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Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case
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Adaptive Bayesian Inference for Discontinuous Inverse Problems, Application to Hyperbolic Conservation Laws
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Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
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SOME ACOUSTIC-TRANSPORT SPLITTING SCHEMES FOR TWO-PHASE COMPRESSIBLE FLOWS

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