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Wallpaper Group-Based Mechanical Metamaterials and their Mechanical Responses

Authors: Hendriks, Fleur; Menkovski, Vlado; Doškář, Martin; Geers, Marc; Verbeek, Kevin; Rokoš, Ondřej;

Wallpaper Group-Based Mechanical Metamaterials and their Mechanical Responses

Abstract

This repository contains a dataset of geometries of potential mechanical metamaterials and their mechanical response, as described in our preprint 'Wallpaper Group-Based Mechanical Metamaterials: Dataset Including Mechanical Responses', https://arxiv.org/abs/2507.11195. More specifically, a large dataset of 2D microstructures and their macroscopic mechanical responses in the hyperelastic, finite-strain regime including buckling. The geometries of the microstructures are generated using a novel method, which covers all 17 wallpaper symmetry groups and features a rich parametric space, as the microstructural geometries are described using Bézier curves. The mechanical responses are obtained through computational homogenization utilizing finite element simulations. The dataset includes 1020 distinct geometries, each subjected to 12 loading trajectories, totaling 12,240 trajectories. Our dataset offers a solid foundation for training and benchmarking surrogate models that aim to analyze the relationship between symmetries and material properties, investigating symmetry-breaking during pattern transformations, and potentially revealing emergent behavior in mechanical metamaterials. The Python code used to generate the geometries is available at https://github.com/FHendriks11/wallpaper_microstructures, and the MATLAB code used for the finite element simulations is available at https://github.com/FHendriks11/mechmetamat_homogenization.

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Netherlands
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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