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A set of tools for developing new methods and techniques in physics informed neural networks written in jax.

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Pancax ("PANCAKES")

Physics augment neural computations in jax

If you leverage these tools for your own research, please cite the following article

@article{hamel2023calibrating,
  title={Calibrating constitutive models with full-field data via physics informed neural networks},
  author={Hamel, Craig M and Long, Kevin N and Kramer, Sharlotte LB},
  journal={Strain},
  volume={59},
  number={2},
  pages={e12431},
  year={2023},
  publisher={Wiley Online Library}
}

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A set of tools for developing new methods and techniques in physics informed neural networks written in jax.

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