Pi-Yueh Chuang, Lorena A. Barba
Manuscript repository, including all source files for the text and figures.
arXiv preprint: Coming soon
- Reproducibility Package for Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding, (2023)
- Reproducibility Package (Raw Data) for Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding, (2023)
- "PetIBM: toolbox and applications of the immersed-boundary method on distributed-memory architectures", Pi-Yueh Chuang, Olivier Mesnard, Anush Krishnan, Lorena A. Barba. The Journal of Open Source Software, 3(25):558 (May 2018). doi:10.21105/joss.00558. Code repository: https://github.com/barbagroup/PetIBM (BSD-3 license)
- "NVIDIA Modulus: a Neural Network Framework," https://developer.nvidia.com/modulus (Apache 2.0 license)
- Our PINN solvers using the Modulus toolkit can be found in the
repro-pack
submodule (BSD-3 license)
Not all content in this repository is open source. The Python code for creating the figures is shared under a BSD3 License. Please note that the manuscript text is not openly licensed; we reserve rights to the article content, which will be submitted for publication in a journal. Only fair use applies in this case.