Surrogate Models
Fast models that turn hours of simulation into millisecond predictions for design search.
September 18, 2026
Neural Operators for Engineering Simulation
Learn how neural operators learn mappings between physical fields, exchange information across spatial domains and scale to large engineering meshes with changing geometries and discretizations.
August 21, 2026
Why surrogate models fail when the geometry changes
The node count of the training mesh becomes a dimension of a learned weight matrix. Why conventional CFD surrogate models break when the geometry changes.
August 4, 2026
Surrogate models: where millisecond predictions can be trusted
A surrogate trained on a few hundred solver runs predicts your quantity of interest in milliseconds. It is reliable inside the envelope you sampled, and not outside it.