DOI: 10.1103/physrevlett.120.145301. Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

10.1103/physrevlett.120.145301

Crossref journal-article

American Physical Society (APS)

Physical Review Letters (16)

Bibliography

Xie, T., & Grossman, J. C. (2018). Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties. Physical Review Letters, 120(14).

Authors 2

Tian Xie (first)
Jeffrey C. Grossman (additional)

References 35 Referenced 1,733

10.1103/PhysRevLett.115.205901
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{'volume-title': 'Proceedings of the 25th International Conference on Machine Learning', 'year': '2008', 'author': 'R. Collobert', 'key': 'PhysRevLett.120.145301Cc23R1'} / Proceedings of the 25th International Conference on Machine Learning by R. Collobert (2008)
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Dates

Type	When
Created	7 years, 4 months ago (April 6, 2018, 10:17 a.m.)
Deposited	7 months, 2 weeks ago (Jan. 2, 2025, 4:37 p.m.)
Indexed	43 minutes ago (Aug. 21, 2025, 7:07 a.m.)
Issued	7 years, 4 months ago (April 6, 2018)
Published	7 years, 4 months ago (April 6, 2018)
Published Online	7 years, 4 months ago (April 6, 2018)

Funders 3

Toyota Research Institute 10.13039/100015599
Region: Americas
pri (Research institutes and centers)
Labels2
1. Toyota Research Institute, Inc.
2. TRI
National Energy Research Scientific Computing Center
Awards1
1. DE-AC02-05CH11231
Extreme Science and Engineering Discovery Environment
Awards1
1. ACI-1053575

BibTeX

@article{Xie_2018, title={Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties}, volume={120}, ISSN={1079-7114}, url={http://dx.doi.org/10.1103/physrevlett.120.145301}, DOI={10.1103/physrevlett.120.145301}, number={14}, journal={Physical Review Letters}, publisher={American Physical Society (APS)}, author={Xie, Tian and Grossman, Jeffrey C.}, year={2018}, month=apr }

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