GitHub - casus/PDE-Learning: Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces

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Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
PSM_V1		PSM_V1
PSM_V2		PSM_V2
NavierStokesEquation_Inverse_Problem.ipynb		NavierStokesEquation_Inverse_Problem.ipynb
PoissonEquation-Inverse_Problem.ipynb		PoissonEquation-Inverse_Problem.ipynb
PoissonEquation4D.ipynb		PoissonEquation4D.ipynb
PoissonEquation_Forward_Problem.ipynb		PoissonEquation_Forward_Problem.ipynb
QHOEquation-Forward_Problem_m=31.ipynb		QHOEquation-Forward_Problem_m=31.ipynb
QHOEquation_Forward_Problem_m=21.ipynb		QHOEquation_Forward_Problem_m=21.ipynb
QHOEquation_Inverse_Problem.ipynb		QHOEquation_Inverse_Problem.ipynb
README.txt		README.txt

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This framework contains the results submitted on the paper "Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces",
submitted to Proceedings A Royal Society. ArXiv preprint is available, https://doi.org/10.48550/arXiv.2301.04887

The code was developed by Phil-Alexander Hofmann : p.hofmann@hzdr.de, under the supervision of:
  - Juan-Esteban Suarez : j.suarez-cardona@hzdr.de
  - Dr. Michael Hecht : m.hecht@hzdr.de
All members of the Center for Advanced Systems Understanding (CASUS)