NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics

Raimondas Galvelis, Alejandro Varela-Rial, Stefan Doerr, Roberto Fino, Peter K. Eastman, Thomas E. Markland, John D. Chodera, Gianni De Fabritiis. NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics. Journal of Chemical Information and Computer Sciences, 63(18):5701-5708, September 2023. [doi]

@article{GalvelisVDFEMCF23,
  title = {NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics},
  author = {Raimondas Galvelis and Alejandro Varela-Rial and Stefan Doerr and Roberto Fino and Peter K. Eastman and Thomas E. Markland and John D. Chodera and Gianni De Fabritiis},
  year = {2023},
  month = {September},
  doi = {10.1021/acs.jcim.3c00773},
  url = {https://doi.org/10.1021/acs.jcim.3c00773},
  researchr = {https://researchr.org/publication/GalvelisVDFEMCF23},
  cites = {0},
  citedby = {0},
  journal = {Journal of Chemical Information and Computer Sciences},
  volume = {63},
  number = {18},
  pages = {5701-5708},
}