Materials Project

The dataset used to train the crystal graph convolutional neural networks (CGCNN) model to visualize the compositional and structural similarities between materials in an arbitrary material space.

Data and Resources

Cite this as

Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier, Wei Chen, William Davidson Richards, Stephen Dacek, Shreyas Cholia, Dan Gunter, David Skinner, Gerbrand Ceder (2024). Dataset: Materials Project. https://doi.org/10.57702/qjqlt1ys

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2202.01051
Citation
  • https://doi.org/10.1063/1.5047803
  • https://doi.org/10.48550/arXiv.2309.05934
Author Anubhav Jain
More Authors
Shyue Ping Ong
Geoffroy Hautier
Wei Chen
William Davidson Richards
Stephen Dacek
Shreyas Cholia
Dan Gunter
David Skinner
Gerbrand Ceder
Homepage https://doi.org/10.1021/acs.jmat.3b01134