ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation

Machine Learning enhanced CFD solver for incompressible isothermal fluid flow

Data-guided physics-informed neural networks

Code for reproducing the article: Identifying regions of importance in wall-bounded turbulence through explainable deep learning.

Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.

Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. Available on doi.org/10.1016/j.cma.2021.114181.

Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.

Physics-informed Machine Learning for Modeling, Control, and Optimization at CDC 2024

Code associated with the paper "Efficient Error Certification for Physics-Informed Neural Networks" (ICML'24).

Physics-Informed Neural Network (PINN) applied to solid mechanics

Code release for RSS 2023 paper "Progressive Learning for Physics-informed Neural Motion Planning"

Code release for ICLR 2023 paper "NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning"

Physics-informed nonlinear autoregression

Jax Implementation of the paper "Moving Sampling Physics-informed Neural Networks induced by Moving Mesh PDE"

(partial, unofficial) JAX-implementation for "Physics-informed Neural Networks for shell structures".

[SIGGRAPH 2024] Official code for Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction

Introduction to JAX Workshop @ ETH Zurich, 25 June 2024

ETH Zürich AI in the Sciences and Engineering Master's course 2024

Implementation of Physics-Informed Diffusion Models

Simulations of cardiac electrophysiology with physics-informed neural networks (PINNs) in 2D and 3D geometries

Simulating the Physics of Particle Interaction

Tracing the most recent advances in Physics Informedd LLMs.

Physics-informed Koopman Neural Ordinary Differential Equation