dedalus
PDEBench
| dedalus | PDEBench | |
|---|---|---|
| 1 | 2 | |
| 449 | 631 | |
| 3.8% | 4.9% | |
| 8.6 | 6.3 | |
| 7 days ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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dedalus
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Anyone's has a notes, papers, etc. in spectral collocations methods for a eingvalues problems. I'm interested on Chebyshev solution procedure because i want to calculate the temporal stability in an annular problem.
Shameless plug: I'm a developer of an open-source Python-based spectral PDE solver called Dedalus which you might be able to use to do this. Dedalus lets you symbolically specify a system of PDEs (IVPs, BVPs, and EVPs) and then automatically forms sparse discretizations using global spectral bases (Fourier series, Chebyshev series, spherical harmonics, etc.) and solves them in parallel with MPI.
PDEBench
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[P] LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
LagrangeBench is a machine learning benchmarking library for CFD particle problems based on JAX. It is designed to evaluate and develop learned particle models (e.g. graph neural networks) on challenging physical problems. To our knowledge it's the first benchmark for this specific set of problems. Our work was inspired by the grid-based benchmarks of PDEBench and PDEArena, and we propose it as a Lagrangian alternative.
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[D] what are the SOTA neural PDE solvers besides FNO?
try https://github.com/pdebench/pdebench
What are some alternatives?
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pdearena
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ivy - The Unified AI Framework