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@ARTICLE{Peter:888465,
author = {Peter, Emanuel K. and Shea, Joan-Emma and Schug, Alexander},
title = {{CORE}-{MD}, a path correlated molecular dynamics
simulation method},
journal = {The journal of chemical physics},
volume = {153},
number = {8},
issn = {1089-7690},
address = {Melville, NY},
publisher = {American Institute of Physics},
reportid = {FZJ-2020-04933},
pages = {084114 -},
year = {2020},
abstract = {We present an enhanced Molecular Dynamics (MD) simulation
method, which is free from the requirement of a priori
structural information of the system. The technique is
capable of folding proteins with very low computational
effort and requires only an energy parameter. The path
correlated MD (CORE-MD) method uses the autocorrelation of
the path integral over the reduced action and propagates the
system along the history dependent path correlation. We
validate the new technique in simulations of the
conformational landscapes of dialanine and the TrpCage
mini-peptide. We find that the novel method accelerates the
sampling by three orders of magnitude and observe
convergence of the conformational sampling in both cases. We
conclude that the new method is broadly applicable for the
enhanced sampling in MD simulations. The CORE-MD algorithm
reaches a high accuracy compared with long time equilibrium
MD simulations.},
cin = {JSC / NIC},
ddc = {530},
cid = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)NIC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / Forschergruppe Schug $(hkf6_20200501)$},
pid = {G:(DE-HGF)POF3-511 / $G:(DE-Juel1)hkf6_20200501$},
typ = {PUB:(DE-HGF)16},
pubmed = {32872878},
UT = {WOS:000566895600003},
doi = {10.1063/5.0015398},
url = {https://juser.fz-juelich.de/record/888465},
}