CNN-POD

This repository contains a collection of Python codes to generate neural networks for the prediction of turbulent flow fields from wall measurements.

Installation

Use the package manager pip to install the required dependencies.

pip install -r requirements.txt

Usage

def main():
    
    print("hellow world")

    return

if __name__ == __main__:

    main()

Publications

This repository has been used in some manner in the following scientific publications:

[1] Güemes, A., Discetti, S., & Ianiro, A. (2019). Sensing the turbulent large-scale motions with their wall signature. Physics of Fluids, 31(12), 125112.

Authorship

This repository has been developed under the PhD studies of Alejandro Güemes. The following researches nd students are acknowledged for their contributions:

• Alejandro Güemes

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

Creative Commons