Literature DB >> 19280001

Anomalous waterlike behavior in spherically-symmetric water models optimized with the relative entropy.

Aviel Chaimovich1, M Scott Shell.   

Abstract

Recent efforts have attempted to understand many of liquid water's anomalous properties in terms of effective spherically-symmetric pairwise molecular interactions entailing two characteristic length scales (so-called "core-softened" potentials). In this work, we examine the extent to which such simple descriptions of water are representative of the true underlying interactions by extracting coarse-grained potential functions that are optimized to reproduce the behavior of an all-atom model. To perform this optimization, we use a novel procedure based upon minimizing the relative entropy, a quantity that measures the extent to which a coarse-grained configurational ensemble overlaps with a reference all-atom one. We show that the optimized spherically-symmetric water models exhibit notable variations with the state conditions at which they were optimized, reflecting in particular the shifting accessibility of networked hydrogen bonding interactions. Moreover, we find that water's density and diffusivity anomalies are only reproduced when the effective coarse-grained potentials are allowed to vary with state. Our results therefore suggest that no state-independent spherically-symmetric potential can fully capture the interactions responsible for water's unique behavior; rather, the particular way in which the effective interactions vary with temperature and density contributes significantly to anomalous properties.

Entities:  

Year:  2009        PMID: 19280001     DOI: 10.1039/b818512c

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  17 in total

1.  Smoothing protein energy landscapes by integrating folding models with structure prediction.

Authors:  Ari Pritchard-Bell; M Scott Shell
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

2.  Matching of additive and polarizable force fields for multiscale condensed phase simulations.

Authors:  Christopher M Baker; Robert B Best
Journal:  J Chem Theory Comput       Date:  2013-06-11       Impact factor: 6.006

3.  Energy Renormalization for Coarse-Graining the Dynamics of a Model Glass-Forming Liquid.

Authors:  Wenjie Xia; Jake Song; Nitin K Hansoge; Frederick R Phelan; Sinan Keten; Jack F Douglas
Journal:  J Phys Chem B       Date:  2018-02-05       Impact factor: 2.991

4.  The search for the hydrophobic force law.

Authors:  Malte U Hammer; Travers H Anderson; Aviel Chaimovich; M Scott Shell; Jacob Israelachvili
Journal:  Faraday Discuss       Date:  2010       Impact factor: 4.008

5.  A smoothly decoupled particle interface: new methods for coupling explicit and implicit solvent.

Authors:  Jason A Wagoner; Vijay S Pande
Journal:  J Chem Phys       Date:  2011-06-07       Impact factor: 3.488

6.  Reactive molecular dynamics models from ab initio molecular dynamics data using relative entropy minimization.

Authors:  Christopher Arntsen; Chen Chen; Gregory A Voth
Journal:  Chem Phys Lett       Date:  2017-04-22       Impact factor: 2.328

7.  Development of reactive force fields using ab initio molecular dynamics simulation minimally biased to experimental data.

Authors:  Chen Chen; Christopher Arntsen; Gregory A Voth
Journal:  J Chem Phys       Date:  2017-10-28       Impact factor: 3.488

8.  On-the-fly free energy parameterization via temperature accelerated molecular dynamics.

Authors:  Cameron F Abrams; Eric Vanden-Eijnden
Journal:  Chem Phys Lett       Date:  2012-09       Impact factor: 2.328

9.  Coarse-Grained Molecular Models of Water: A Review.

Authors:  Kevin R Hadley; Clare McCabe
Journal:  Mol Simul       Date:  2012-07-04       Impact factor: 2.178

10.  Phase behaviour of a continuous shouldered well model fluid. A grand canonical Monte Carlo study.

Authors:  Miha Lukšič; Barbara Hribar-Lee; Orest Pizio
Journal:  J Mol Liq       Date:  2016-10-08       Impact factor: 6.165

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.