R. Balin

Diff-NekRS: A Scalable Differentiable Framework for Multi-Timestep Solver-in-the-Loop Training

Hybrid physics-machine-learning solvers improve under-resolved simulations by embedding trainable corrections into the time integration. During autoregressive inference, repeated solver-model interactions can amplify small errors, motivating multi-timestep solver-in-the-loop training. However, production solvers rarely...