Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Journal Article
%1 journals/jcisd/GalvelisVDFEMCF23
%A Galvelis, Raimondas
%A Varela-Rial, Alejandro
%A Doerr, Stefan
%A Fino, Roberto
%A Eastman, Peter K.
%A Markland, Thomas E.
%A Chodera, John D.
%A Fabritiis, Gianni De
%D 2023
%J J. Chem. Inf. Model.
%K dblp
%N 18
%P 5701-5708
%T NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics.
%U http://dblp.uni-trier.de/db/journals/jcisd/jcisd63.html#GalvelisVDFEMCF23
%V 63
@article{journals/jcisd/GalvelisVDFEMCF23,
added-at = {2023-10-14T00:00:00.000+0200},
author = {Galvelis, Raimondas and Varela-Rial, Alejandro and Doerr, Stefan and Fino, Roberto and Eastman, Peter K. and Markland, Thomas E. and Chodera, John D. and Fabritiis, Gianni De},
biburl = {https://www.bibsonomy.org/bibtex/2479f8fe577ac938fbad8f1a98ce048b9/dblp},
ee = {https://doi.org/10.1021/acs.jcim.3c00773},
interhash = {f1b652505d63488f38231b81a7782dc4},
intrahash = {479f8fe577ac938fbad8f1a98ce048b9},
journal = {J. Chem. Inf. Model.},
keywords = {dblp},
month = {September},
number = 18,
pages = {5701-5708},
timestamp = {2024-04-08T17:27:39.000+0200},
title = {NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics.},
url = {http://dblp.uni-trier.de/db/journals/jcisd/jcisd63.html#GalvelisVDFEMCF23},
volume = 63,
year = 2023
}