NN-inverse-design-inflatable-membranes

Inverse design of inflatable membranes via machine learning. This package is still under developement. More features will be added soon.

Paper

See our published paper:

1. Antonio E. Forte, Paul Z. Hanakata, Lishuai Jin, Emilia Zari, Ahmad Zareei, Matheus C. Fernandes, Laura Sumner, Jonathan Alvarez, Katia Bertoldi, , "Inverse design of inflatable soft membranes through machine learning", Advanced Functional Materials, 202111610, (2022).

Overview

This project's directory structure is as follows:

• models/: Jupyter Notebook contains NN to perform inverse design (written in TensorFlow)
• data_handling/: Jupyter Notebooks to handle user specified test data and to evaluate its accuracy

To download

git clone https://github.com/phanakata/NN-inverse-design-inflatable-membranes

Primary ML code developer

Paul Hanakata

Contributors to ML code developments

Antonio Forte and Emilia Zari

Citation

If you use this package/code/dataset, build on or find our research is useful for your work please cite

@article{InverseDesignInflatableMembranes2022,
  title={Inverse Design of Inflatable Soft Membranes Through Machine Learning},
  author={Forte, Antonio Elia and Hanakata, Paul Z and Jin, Lishuai and Zari, Emilia and Zareei, Ahmad and Fernandes, Matheus C and Sumner, Laura and Alvarez, Jonathan and Bertoldi, Katia},
  journal={Advanced Functional Materials},
  volume={32},
  number={16},
  pages={2111610},
  year={2022},
  publisher={Wiley Online Library}
}