Optimized acoustic bias plus rank-1 entropy correction in characteristic reconstruction improves efficiency and removes the need for contact-discontinuity detectors in compressible CFD.
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A structure-preserving GNN solver for parametric hyperbolic conservation laws achieves superior long-horizon stability and orders-of-magnitude speedups over high-resolution simulations on supersonic flow benchmarks.
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Wave-appropriate reconstruction of compressible flows: physics-constrained acoustic dissipation and rank-1 entropy wave correction
Optimized acoustic bias plus rank-1 entropy correction in characteristic reconstruction improves efficiency and removes the need for contact-discontinuity detectors in compressible CFD.
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A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation Laws
A structure-preserving GNN solver for parametric hyperbolic conservation laws achieves superior long-horizon stability and orders-of-magnitude speedups over high-resolution simulations on supersonic flow benchmarks.