Haixin Chen

Reliable and efficient steady CFD from surrogate predictions through Newton-Krylov correction

Neural surrogates offer a promising route to accelerating computationally expensive simulations governed by partial differential equations across science and industry. Their practical deployment, however, is limited by unreliable predictions under out-of-distribution (OOD) conditions. We develop a solver-coupled surrog...