Cite
Machine learning interatomic potential with DFT accuracy for general grain boundaries in α-Fe
MLA
Kazuma Ito, et al. “Machine Learning Interatomic Potential with DFT Accuracy for General Grain Boundaries in α-Fe.” Npj Computational Materials, vol. 10, no. 1, Nov. 2024, pp. 1–16. EBSCOhost, https://doi.org/10.1038/s41524-024-01451-y.
APA
Kazuma Ito, Tatsuya Yokoi, Katsutoshi Hyodo, & Hideki Mori. (2024). Machine learning interatomic potential with DFT accuracy for general grain boundaries in α-Fe. Npj Computational Materials, 10(1), 1–16. https://doi.org/10.1038/s41524-024-01451-y
Chicago
Kazuma Ito, Tatsuya Yokoi, Katsutoshi Hyodo, and Hideki Mori. 2024. “Machine Learning Interatomic Potential with DFT Accuracy for General Grain Boundaries in α-Fe.” Npj Computational Materials 10 (1): 1–16. doi:10.1038/s41524-024-01451-y.