TUM Physics-based Simulation

autoreg-pde-diffusion

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

differentiable-piso

Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"

Diffusion-based-Flow-Prediction

Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"

DMCF

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)

mantaflow

mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics and Machine Learning.

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

PhiFlow

A differentiable PDE solving framework for machine learning

PhiML

Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Solver-in-the-Loop

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

tum-pbs/PhiFlow

A differentiable PDE solving framework for machine learning

tum-pbs/pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

tum-pbs/Solver-in-the-Loop

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

tum-pbs/PhiML

Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy

tum-pbs/autoreg-pde-diffusion

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

tum-pbs/Diffusion-based-Flow-Prediction

Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"

tum-pbs/DMCF

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)

tum-pbs/differentiable-piso

Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"

tum-pbs/dl-surrogates

tum-pbs/LSIM

LSiM is a learned metric to compute distance values for 2D data from numerical simulations

tum-pbs/coord-trans-encoding

This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"

tum-pbs/ConFIG

Official implementation of Conflict-Free Inverse Gradients Method

tum-pbs/SMDP

Solving Inverse Physics Problems with Score Matching

tum-pbs/apebench

[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)

tum-pbs/VOLSIM

VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations

tum-pbs/unrolling

tum-pbs/DiffPhys-CylinderWakeFlow

tum-pbs/SIP

Scale-invariant Learning by Physics Inversion (NeurIPS 2022)

tum-pbs/StableBPTT

The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"

tum-pbs/SFBC

ICLR'24: Symmetric basis convolutions for learning lagrangian fluid mechanics

tum-pbs/sbi-sim

tum-pbs/racecar

Data-driven Regularization via Racecar Training for Generalizing Neural Networks

tum-pbs/Deep-Flow-Prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

tum-pbs/game-physics-template

Template code for game physics lecture

tum-pbs/Neural-Global-Transport

Repository for the ICLR '23 paper on Neural-Global-Transport

tum-pbs/two-way-coupled-control

tum-pbs/apebench-paper

[Project Page] A benchmark suite for autoregressive neural emulation of PDEs, accepted at Neurips 2024.

tum-pbs/gamephysicstemplate

tum-pbs/Hybrid-Solver-for-Reactive-Flows

tum-pbs/pbdl-dataset

Dataset handling for physics-based deep learning tasks