Large language models for partial differential equation workflows.

arXiv:2608.03600v3 Announce Type: replace Abstract: Numerical methods and deep learning have advanced the modelling and simulation of systems governed by partial differential equations (PDEs), while formulating equations, configuring solvers, and translating s