The repository provides Python codes for the numerical examples illustrated in the paper ‘Physics informed WNO’ Please go through the paper to understand the implemented algorithm. Requirements:
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Install python package pytorch, numpy, pandas, matplotlib etc.
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There are four separate folders containing data sets (data generation codes) and implementation codes, where the folders are named as ‘Burger's’, ‘Nagumo’, ‘Non-homogeneous Poissons’, and ‘Allen-Cahn’.
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Add the data (generated data) path to load the data and use the run(Main_physics) file to execute program.
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If you find the code helpful, please cite the paper. @article{navaneeth2023physics, title={Physics informed WNO}, author={N, Navaneeth and Tripura, Tapas and Chakraborty, Souvik}, journal={arXiv preprint arXiv:2302.05925}, year={2023} }