Emmi AI releases Noether, an open framework for training engineering surrogates

Emmi AI releases Noether, a deep learning framework for engineering simulation models built on transformer components. It covers the workflow from data through training and evaluation to application, from CFD meshes to volumetric data, with ready-to-use model architectures. The code is on GitHub under the Emmi Open Research License, which is free for research and piloting and requires a licence for commercial use. Emmi lists groups at JKU Linz, ETH Zürich, TUM and other universities as supporters, and Luminary, Rescale and SimScale as platform partners.

Share on LinkedIn, X or Bluesky, or copy the link.