Zero Modes and Classification of a Combinatorial Metamaterial

Creators
Publication date 2022
Description
This dataset contains the simulation data of the combinatorial metamaterial as used for the paper 'Machine Learning of Combinatorial Rules in Mechanical Metamaterials', as published in XXX. In this paper, the data is used to classify each k x k unit cell design into one of two classes (C or I) based on the scaling (linear or constant) of the number of zero modes Mk(n) for metamaterials consisting of an n x n tiling of the corresponding unit cell. Additionally, a random walk through the design space starting from class C unit cells was performed to characterize the boundary between class C and I in design space. A more detailed description of the contents of the dataset follows below.
Publisher Zenodo
Organisations
  • Faculty of Science (FNWI) - Institute of Physics (IoP) - Van der Waals-Zeeman Institute (WZI)
Document type Dataset
Related publication Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials
DOI https://doi.org/10.5281/zenodo.5879125
Other links https://zenodo.org/record/5879125
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