Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates
Neural surrogates enable orders-of-magnitude acceleration of computational fluid dynamics (CFD) simulations, with the potential to transform engineering and healthcare workflows. Neural surrogate use in real-world applications requires addressing scalability to large, high-resolution surface and volume meshes, as well as to bespoke architectures, and accounting for limited training data through the use of inductive biases. Group-equivariant architectures are a principled way to introduce such bi
Record details
Published: 12 May 2026
Source: arXiv
Category: Research
Topics: Healthcare
Retrieved: 14 July 2026
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ethics.ai (12 May 2026), “Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates,” evidence record 4474, https://ethics.ai/record/4474 (originally published by arXiv).
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