An LES model for sprays combines a four-equation equilibrium multiphase solver with a new phase-confined Eulerian Σ spray model and a Gibbs-free-energy-bounded finite-rate phase change model, showing good match to ECN Spray A experiments.
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GRAFT-ATHENA projects combinatorial method choices into factored trees that embed as fingerprints in a metric space, enabling an agentic system to accumulate experience across domains and autonomously discover new numerical techniques for physics-informed problems.
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.
citing papers explorer
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An LES model with finite-rate phase change and subgrid spray based on a thermodynamically consistent four-equation multiphase model
An LES model for sprays combines a four-equation equilibrium multiphase solver with a new phase-confined Eulerian Σ spray model and a Gibbs-free-energy-bounded finite-rate phase change model, showing good match to ECN Spray A experiments.
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GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms
GRAFT-ATHENA projects combinatorial method choices into factored trees that embed as fingerprints in a metric space, enabling an agentic system to accumulate experience across domains and autonomously discover new numerical techniques for physics-informed problems.
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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.