Data underlying the publication: Generic method for generating lattice metamaterial database and extreme properties

doi: 10.4121/03961539-129b-43b6-9c55-cfd3f5d40a8d.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/03961539-129b-43b6-9c55-cfd3f5d40a8d
Datacite citation style:
Chen, Jiaxin; Wei, Kai (2024): Data underlying the publication: Generic method for generating lattice metamaterial database and extreme properties. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/03961539-129b-43b6-9c55-cfd3f5d40a8d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Our project aims to explore the design space of lattice metamaterials. Lattice metamaterials attract considerable interest for their exceptional performance and prospects for engineering applications. These databases are generated by a generic method under potential publication. These databases comprise over 1.8 million distinctive entries, especially including numerous unprecedented metamaterials. These databases will strongly advance the emerging data-driven design strategies. 

 

Dataset S1 (.csv format). Entire feature database of the designed metamaterials, including coordinates of flattened node-sets and elements of flattened connectivity matrices within building blocks.

SubDataset for architectural features ("group name"-features.csv). Eleven separated databases correspond to eleven metamaterial groups for convenient access.

 

Dataset S2 (.csv format). Entire mechanical property database including Young’s moduli, Poisson’s ratios, shear modulus and isotropy index.

SubDataset for mechanical property ("group name"-mechanical property.csv). Eleven separated databases correspond to eleven metamaterial groups for convenient access.

 

The dataset is intended for reviews of potential publications and should not be cited or used before public publication.

history
  • 2024-08-30 first online, published, posted
publisher
4TU.ResearchData
format
csv
funding
  • National Nature Science Foundation of China
organizations
Hunan University

DATA - under embargo

The files in this dataset are under embargo until 2024-12-01.

Reason

The dataset is intended for reviews of potential publication