Discrete Solution Operator Learning (DiSOL)

This Code Ocean capsule provides an executable implementation of Discrete Solution Operator Learning (DiSOL) for geometry-dependent PDE operator learning, accompanying the manuscript: Discrete Solution Operator Learning for Geometry-Dependent PDEs. The capsule is designed to (i) demonstrate that the codebase is runnable end-to-end, (ii) reproduce the basic training/validation/testing pipeline for all benchmark problems, and (iii) provide example outputs and checkpoints under the compute/storage constraints of the Code Ocean environment.