MAD-NG: Meta-Auto-Decoder Neural Galerkin Method for Solving Parametric Partial Differential Equations

This article introduces a novel method, MAD-NG, for solving parametric partial differential equations (PDEs). The method combines meta-learning and neural Galerkin methods. The focus is on the application of AI techniques to solve complex mathematical problems.

• •The research focuses on applying AI to solve PDEs.
• •The method combines meta-learning and neural Galerkin methods.
• •The approach is likely aimed at improving the efficiency or accuracy of solving PDEs.