most citedGeometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries

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cs.LG2025

3D Neural Operator-Based Flow Surrogates around 3D geometries: Signed Distance Functions and Derivative Constraints

Ali Rabeh, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

Accurate modeling of fluid dynamics around complex geometries is critical for applications such as aerodynamic optimization and biomedical device design. While advancements in nume…

cs.LG2025★ 1 cited

Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries

Ali Rabeh, Ethan Herron, Aditya Balu +4

Rapid and accurate simulations of fluid dynamics around complicated geometric bodies are critical in a variety of engineering and scientific applications, including aerodynamics an…