https://github.com/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"
https://github.com/tum-pbs/diffusion-based-flow-prediction
baysian-network deep-learning diffusion-models flow-matching fluid-dynamics fluid-simulation physics-simulation uncertainty-neural-networks uncertainty-quantification
Last synced: 12 months ago
JSON representation
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"
- Host: GitHub
- URL: https://github.com/tum-pbs/diffusion-based-flow-prediction
- Owner: tum-pbs
- License: apache-2.0
- Created: 2023-11-28T14:53:19.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-04T03:49:15.000Z (over 1 year ago)
- Last Synced: 2025-03-31T21:34:15.299Z (about 1 year ago)
- Topics: baysian-network, deep-learning, diffusion-models, flow-matching, fluid-dynamics, fluid-simulation, physics-simulation, uncertainty-neural-networks, uncertainty-quantification
- Language: Jupyter Notebook
- Homepage:
- Size: 433 MB
- Stars: 60
- Watchers: 3
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE