Towards a Generalized Neural Solver for One-Dimensional Partial Differential Equations

PDEformer, a neural solver capable of simultaneously addressing various types of one-dimensional partial differential equations, leverages a computational graph representation to seamlessly integrate symbolic and numerical information, and employs a graph Transformer and an implicit neural representation to generate mesh-free predicted solutions.