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Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.

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POD-NN

Running

Dependencies are in the file requirements.txt, and are installable via pip.

Run examples from their, eg.

$ cd examples/1d_shekel
$ python3 genhifi.py
$ python3 main.py

Citation

This work is using techniques from Wang et al.

@article{Wang2019,
author = {Wang, Qian and Hesthaven, Jan S. and Ray, Deep},
doi = {10.1016/J.JCP.2019.01.031},
issn = {0021-9991},
journal = {Journal of Computational Physics},
month = {may},
pages = {289--307},
publisher = {Academic Press},
title = {{Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem}},
url = {https://www.sciencedirect.com/science/article/pii/S0021999119300828},
volume = {384},
year = {2019}
}

License

MIT License

Copyright (c) 2019 Pierre Jacquier

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Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.

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