Literature DB >> 27875875

On the accuracy of the MB-pol many-body potential for water: Interaction energies, vibrational frequencies, and classical thermodynamic and dynamical properties from clusters to liquid water and ice.

Sandeep K Reddy1, Shelby C Straight1, Pushp Bajaj1, C Huy Pham1, Marc Riera1, Daniel R Moberg1, Miguel A Morales2, Chris Knight3, Andreas W Götz4, Francesco Paesani1.   

Abstract

The MB-pol many-body potential has recently emerged as an accurate molecular model for water simulations from the gas to the condensed phase. In this study, the accuracy of MB-pol is systematically assessed across the three phases of water through extensive comparisons with experimental data and high-level ab initio calculations. Individual many-body contributions to the interaction energies as well as vibrational spectra of water clusters calculated with MB-pol are in excellent agreement with reference data obtained at the coupled cluster level. Several structural, thermodynamic, and dynamical properties of the liquid phase at atmospheric pressure are investigated through classical molecular dynamics simulations as a function of temperature. The structural properties of the liquid phase are in nearly quantitative agreement with X-ray diffraction data available over the temperature range from 268 to 368 K. The analysis of other thermodynamic and dynamical quantities emphasizes the importance of explicitly including nuclear quantum effects in the simulations, especially at low temperature, for a physically correct description of the properties of liquid water. Furthermore, both densities and lattice energies of several ice phases are also correctly reproduced by MB-pol. Following a recent study of DFT models for water, a score is assigned to each computed property, which demonstrates the high and, in many respects, unprecedented accuracy of MB-pol in representing all three phases of water.

Entities:  

Year:  2016        PMID: 27875875     DOI: 10.1063/1.4967719

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  29 in total

1.  Preordering of water is not needed for ice recognition by hyperactive antifreeze proteins.

Authors:  Arpa Hudait; Daniel R Moberg; Yuqing Qiu; Nathan Odendahl; Francesco Paesani; Valeria Molinero
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-09       Impact factor: 11.205

2.  Ab initio thermodynamics of liquid and solid water.

Authors:  Bingqing Cheng; Edgar A Engel; Jörg Behler; Christoph Dellago; Michele Ceriotti
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-04       Impact factor: 11.205

3.  Liquid water is a dynamic polydisperse branched polymer.

Authors:  Saber Naserifar; William A Goddard
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-24       Impact factor: 11.205

4.  A Many-Body, Fully Polarizable Approach to QM/MM Simulations.

Authors:  Eleftherios Lambros; Filippo Lipparini; Gerardo Andrés Cisneros; Francesco Paesani
Journal:  J Chem Theory Comput       Date:  2020-11-19       Impact factor: 6.006

5.  Signatures of a liquid-liquid transition in an ab initio deep neural network model for water.

Authors:  Thomas E Gartner; Linfeng Zhang; Pablo M Piaggi; Roberto Car; Athanassios Z Panagiotopoulos; Pablo G Debenedetti
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-02       Impact factor: 11.205

6.  Chemical physics of water.

Authors:  Pablo G Debenedetti; Michael L Klein
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-11       Impact factor: 11.205

7.  Reply to Head-Gordon and Paesani: Liquid water, a branched polymer with ∼100-fs short-lived heterogeneous hydrogen bonds.

Authors:  Saber Naserifar; William A Goddard
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-10       Impact factor: 11.205

8.  Force Field for Water Based on Neural Network.

Authors:  Hao Wang; Weitao Yang
Journal:  J Phys Chem Lett       Date:  2018-06-04       Impact factor: 6.475

9.  Self-interaction error overbinds water clusters but cancels in structural energy differences.

Authors:  Kamal Sharkas; Kamal Wagle; Biswajit Santra; Sharmin Akter; Rajendra R Zope; Tunna Baruah; Koblar A Jackson; John P Perdew; Juan E Peralta
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-11       Impact factor: 11.205

10.  Implementation of Geometry-Dependent Charge Flux into the Polarizable AMOEBA+ Potential.

Authors:  Chengwen Liu; Jean-Philip Piquemal; Pengyu Ren
Journal:  J Phys Chem Lett       Date:  2019-12-30       Impact factor: 6.475

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