ml4physics

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Generalizing to New Physical Systems via Context-Informed Dynamics Model

Repository for NeurIPS 2025 paper, "Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers."

Graph Feedforward Network (GFN) - a novel neural network layer for resolution-invariant machine learning

Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction

This repository is the official implementation of the paper "RONOM: Reduced-Order Neural Operator Modeling" published in the SIAM Journal on Scientific Computing