AI4Science-WestlakeU/wdno
[ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
This project helps scientists and engineers accurately simulate complex physical systems described by Partial Differential Equations (PDEs), even those with sudden changes or high-resolution requirements. It takes in initial conditions or control inputs and outputs high-fidelity simulations or optimal control strategies for systems like fluid dynamics or wave propagation. Researchers in computational science, engineering, and physics would use this for predictive modeling and system control.
Use this if you need to generate realistic simulations or control complex physical systems governed by PDEs, especially when dealing with abrupt changes or requiring high spatial resolution.
Not ideal if your primary goal is to solve simple, analytical PDE problems or if you don't require generative modeling for simulation or control tasks.
Stars
58
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
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