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Learning from Data to Design Functional Materials without Inversion Symmetry (Datasets)
Prasanna V. Balachandran
(Contributor)
Joshua Young
(Creator)
Turab Lookman
(Contributor)
James M Rondinelli
(Creator)
Northwestern University
Materials Science and Engineering
IIN - International Institute for Nanotechnology
MRC - Materials Research Center
NAISE - Northwestern-Argonne Institute for Science and Engineering
Dataset
Overview
Description
Datasets of n=1 Ruddlesden-Popper oxide chemistry with features
Date made available
2016
Publisher
figshare
DOI
10.6084/m9.figshare.4264190.v1
Access Dataset
Creative Commons Attribution 4.0 International
Cite this
DataSetCite
Balachandran, P. V. (Contributor), Young, J. (Creator), Lookman, T. (Contributor), Rondinelli, J. M. (Creator) (
2016
). Learning from Data to Design Functional Materials without Inversion Symmetry (Datasets). figshare.
10.6084/m9.figshare.4264190.v1