Discover tum-pbs/Diffusion-based-Flow-Prediction Open Source project

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Apache License 2.0
Created 11 months ago
Updated 27 days ago

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

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Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

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

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

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coord-trans-encoding

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

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Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"

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ConFIG

Official implementation of Conflict-Free Inverse Gradients Method

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Repository for our CVPR 2021 Global Flow Transport Paper

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Source code for the ICLR'22 paper on "Half-Inverse Gradients"

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VOLSIM

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

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SIP

Scale-invariant Learning by Physics Inversion (NeurIPS 2022)

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DiffPhys-CylinderWakeFlow

Jupyter Notebook

StableBPTT

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

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unrolling

Python

reconstructScalarFlows

ScalarFlow Reconstruction for Large-Scale Volumetric Data Sets of Real-world Scalar Transport Flows

SFBC

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

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racecar

Data-driven Regularization via Racecar Training for Generalizing Neural Networks

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two-way-coupled-control

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Neural-Global-Transport

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

C++

Hybrid-Solver-for-Reactive-Flows

Python

tum-pbs/Diffusion-based-Flow-Prediction

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