Ramon Daniel Regueiro-Espino

Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods

Physics-informed deep learning often faces optimization challenges due to the complexity of solving partial differential equations (PDEs), which involve exploring large solution spaces, require numerous iterations, and can lead to unstable training. These challenges arise particularly from the ill-c…