Machine Learning Directed Search for Ultraincompressible, Superhard Materials.
- DOI
- 10.1021/jacs.8b02717
- Published
- 2018 Aug 8
- Container
- Journal of the American Chemical Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/jacs.8b02717,
title = {Machine Learning Directed Search for Ultraincompressible, Superhard Materials.},
author = {Mansouri Tehrani A and Oliynyk AO and Parry M and Rizvi Z and Couper S and Lin F and Miyagi L and Sparks TD and Brgoch J},
year = {2018},
journal = {Journal of the American Chemical Society},
doi = {10.1021/jacs.8b02717},
url = {https://doi.org/10.1021/jacs.8b02717}
}RIS
TY - JOUR TI - Machine Learning Directed Search for Ultraincompressible, Superhard Materials. AU - Mansouri Tehrani A AU - Oliynyk AO AU - Parry M AU - Rizvi Z AU - Couper S AU - Lin F AU - Miyagi L AU - Sparks TD AU - Brgoch J PY - 2018 JO - Journal of the American Chemical Society DO - 10.1021/jacs.8b02717 UR - https://doi.org/10.1021/jacs.8b02717 ER -
APA
A, M. T., AO, O., M, P., Z, R., S, C., F, L., L, M., TD, S., & J, B. (2018). Machine Learning Directed Search for Ultraincompressible, Superhard Materials.. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.8b02717
Source records
- pubmed · retrieved 2026-09-25T05:49:14.069Z