Omer San

A single turbulent flow realization, when intelligently patched, can unlock extreme-scale super-resolution, outperforming models trained on multiple full snapshots.

Unlock 1000x faster Bayesian aerodynamic design by swapping costly CFD simulations with neural operator surrogates inside the MCMC loop, without sacrificing accuracy.

Reconstructing high-resolution turbulence from extremely coarse data is now possible with SIMR-NO, which not only beats existing methods in accuracy but also respects the underlying physics.