2D elastodynamic metamaterials
Donated on 11/25/2021
This dataset list the location and width of the first band gap for 10x10 pixel 2D elastic metamaterials.
Dataset Characteristics
Tabular
Subject Area
Engineering
Associated Tasks
Regression
Feature Type
-
# Instances
20521
# Features
1
Dataset Information
For what purpose was the dataset created?
This dataset was created to predict band-gap data from 2D 10x10 pixels elastic metamaterial geometry
Who funded the creation of the dataset?
We gratefully acknowledge funding from the Department of Energy, grant DE-SC0021358
What do the instances in this dataset represent?
The instances are elastic metamaterial unit cell designs that exhibit band gaps.
Has Missing Values?
No
Introductory Paper
By Zhi Chen, Alexander Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin. 2021
Published in Preprint
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| CondensedBinary2DGeometry | Feature | Integer | Binary numbers representing 15 pixel constituents | Binary numbers | no |
| BandGapLocation | Target | Continuous | Location of central band gap frequency | Hz | no |
| BandGapWidth | Target | Continuous | Band gap width | Hz | no |
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Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset 2d_elastodynamic_metamaterials = fetch_ucirepo(id=692) # data (as pandas dataframes) X = 2d_elastodynamic_metamaterials.data.features y = 2d_elastodynamic_metamaterials.data.targets # metadata print(2d_elastodynamic_metamaterials.metadata) # variable information print(2d_elastodynamic_metamaterials.variables)
Ogren,Alexander , Chen,Zhi, Brinson,L. Catherine, Bastawrous,Mary, Rudin,Cynthia, and Daraio,Chiara. (2021). 2D elastodynamic metamaterials. UCI Machine Learning Repository. https://doi.org/10.24432/C5ZS5D.
@misc{misc_2d_elastodynamic_metamaterials_692,
author = {Ogren,Alexander , Chen,Zhi, Brinson,L. Catherine, Bastawrous,Mary, Rudin,Cynthia, and Daraio,Chiara},
title = {{2D elastodynamic metamaterials}},
year = {2021},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5ZS5D}
}Keywords
Creators
Alexander Ogren
Zhi Chen
L. Catherine Brinson
cate.brinson@duke.edu
Duke University
Mary Bastawrous
maba9452@colorado.edu
Cynthia Rudin
cynthia@cs.duke.edu
Duke University
Chiara Daraio
daraio@caltech.edu
California Institute of Technology
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.