Accelerating multiscale electronic stopping power predictions with time-dependent density functional theory and machine learning.

MLA

Ward, Logan, et al. “Accelerating Multiscale Electronic Stopping Power Predictions with Time-Dependent Density Functional Theory and Machine Learning.” NPJ Computational Materials, vol. 10, no. 1, Sept. 2024, pp. 1–10. EBSCOhost, https://doi.org/10.1038/s41524-024-01374-8.

APA

Ward, L., Blaiszik, B., Lee, C.-W., Martin, T., Foster, I., & Schleife, A. (2024). Accelerating multiscale electronic stopping power predictions with time-dependent density functional theory and machine learning. NPJ Computational Materials, 10(1), 1–10. https://doi.org/10.1038/s41524-024-01374-8

Chicago

Ward, Logan, Ben Blaiszik, Cheng-Wei Lee, Troy Martin, Ian Foster, and André Schleife. 2024. “Accelerating Multiscale Electronic Stopping Power Predictions with Time-Dependent Density Functional Theory and Machine Learning.” NPJ Computational Materials 10 (1): 1–10. doi:10.1038/s41524-024-01374-8.