- Published
- 2022-11-28
- Venue
- Nature Computational Science, vol. 2, no. 11, pp. 718-728
- Cited by
- 989
- Open access
- Yes, green
- DOI
- 10.1038/s43588-022-00349-3
- PubMed
- 38177366
Cite this paper
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- APA 7
Chen, C., & Ong, S. P. (2022). A universal graph deep learning interatomic potential for the periodic table. Nature Computational Science, 2(11), 718–728. https://doi.org/10.1038/s43588-022-00349-3
- MLA 9
Chen, Chi, and Shyue Ping Ong. "A universal graph deep learning interatomic potential for the periodic table." Nature Computational Science, vol. 2, no. 11, 2022, pp. 718–728, https://doi.org/10.1038/s43588-022-00349-3.
- Chicago
Chen, Chi, and Shyue Ping Ong. "A universal graph deep learning interatomic potential for the periodic table." Nature Computational Science 2, no. 11 (2022): 718–728. https://doi.org/10.1038/s43588-022-00349-3.
- GOST
Chen C., Ong S. P. A universal graph deep learning interatomic potential for the periodic table // Nature Computational Science. — 2022. — Vol. 2, № 11. — P. 718–728. — URL: https://doi.org/10.1038/s43588-022-00349-3
- BibTeX
@article{chen2022universal, title = {{A universal graph deep learning interatomic potential for the periodic table}}, author = {Chi Chen and Shyue Ping Ong}, journal = {Nature Computational Science}, year = {2022}, volume = {2}, number = {11}, pages = {718--728}, doi = {10.1038/s43588-022-00349-3}, url = {https://doi.org/10.1038/s43588-022-00349-3} }- RIS
TY - JOUR AU - Chen, Chi AU - Ong, Shyue Ping TI - A universal graph deep learning interatomic potential for the periodic table JO - Nature Computational Science VL - 2 IS - 11 SP - 718 EP - 728 PY - 2022 DA - 2022/11/28 DO - 10.1038/s43588-022-00349-3 UR - https://doi.org/10.1038/s43588-022-00349-3 ER -
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