TUM Physics-based Simulation
TUM Physics-based Simulation
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
autoreg-pde-diffusion
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
coord-trans-encoding
This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"
Diffusion-based-Flow-Prediction
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"
half-inverse-gradients
Source code for the ICLR'22 paper on "Half-Inverse Gradients"
PhiML
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy