Cite
NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics
MLA
Galvelis, Raimondas, et al. “NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics.” Journal of Chemical Information and Modeling, vol. 63, no. 18, Sept. 2023, pp. 5701–08. EBSCOhost, https://doi.org/10.1021/acs.jcim.3c00773.
APA
Galvelis, R., Varela-Rial, A., Doerr, S., Fino, R., Eastman, P., Markland, T. E., Chodera, J. D., & De Fabritiis, G. (2023). NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics. Journal of Chemical Information and Modeling, 63(18), 5701–5708. https://doi.org/10.1021/acs.jcim.3c00773
Chicago
Galvelis, Raimondas, Alejandro Varela-Rial, Stefan Doerr, Roberto Fino, Peter Eastman, Thomas E. Markland, John D. Chodera, and Gianni De Fabritiis. 2023. “NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics.” Journal of Chemical Information and Modeling 63 (18): 5701–8. doi:10.1021/acs.jcim.3c00773.