Algorithm of Generating Auxetic Networks.

Adapting pruning strategy to generate auxetic material from the grometry of packed moleculars. This project was implemented on the Google Could Service(GCP) with 96-core CPUs. The auxetic samples were ment to be one of the types in my machine learning dataset. This idea is based on Auxetic metamaterials from disordered networks.