Cite
wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflows.
MLA
Gelžinytė, Elena, et al. “Wfl Python Toolkit for Creating Machine Learning Interatomic Potentials and Related Atomistic Simulation Workflows.” Journal of Chemical Physics, vol. 159, no. 12, Sept. 2023, pp. 1–12. EBSCOhost, https://doi.org/10.1063/5.0156845.
APA
Gelžinytė, E., Wengert, S., Stenczel, T. K., Heenen, H. H., Reuter, K., Csányi, G., & Bernstein, N. (2023). wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflows. Journal of Chemical Physics, 159(12), 1–12. https://doi.org/10.1063/5.0156845
Chicago
Gelžinytė, Elena, Simon Wengert, Tamás K. Stenczel, Hendrik H. Heenen, Karsten Reuter, Gábor Csányi, and Noam Bernstein. 2023. “Wfl Python Toolkit for Creating Machine Learning Interatomic Potentials and Related Atomistic Simulation Workflows.” Journal of Chemical Physics 159 (12): 1–12. doi:10.1063/5.0156845.