Benchmarking Neural Surrogates for Complex Simulations

This ArXiv paper investigates the performance of neural surrogates in the context of realistic spatiotemporal multiphysics flows, offering a crucial assessment of these models' capabilities. The study provides valuable insights into the strengths and weaknesses of neural surrogates, informing their practical application in scientific computing and engineering.