Paper-Workshop

Utilizing linear transformers, we propose a conditional neural fields based framework for solving time-dependent parametric partial differential equations that is fast and generalizes well to unseen PDE parameters.

We introduce a framework named Vectorized Conditional Neural Fields (VCNeF) designed to solve time-dependent parametric partial differential equations, and we showcase its efficacy in fluid dynamics simulations.