{
  "id": 4474,
  "url": "https://arxiv.org/abs/2605.18816v1",
  "title": "Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates",
  "summary": "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",
  "authors": "Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-12T10:47:33.000Z",
  "fetched_at": "2026-07-14T16:31:03.577Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4474",
  "original_url": "https://arxiv.org/abs/2605.18816v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}