Literature DB >> 31314516

Systematic Optimization of Water Models Using Liquid/Vapor Surface Tension Data.

Yudong Qiu1, Paul S Nerenberg2, Teresa Head-Gordon3, Lee-Ping Wang1.   

Abstract

In this work, we investigate whether experimental surface tension measurements, which are less sensitive to quantum and self-polarization corrections, are able to replace the usual reliance on the heat of vaporization as experimental reference data for fitting force field models of molecular liquids. To test this hypothesis, we develop the fitting protocol necessary to utilize surface tension measurements in the ForceBalance optimization procedure to determine revised parameters for both three-point and four-point water models TIP3P-ST and TIP4P-ST. We find that the incorporation of surface tension in the fit results in a rigid three-point model that reproduces the correct temperature of maximum density of water for the first time but also leads to overstructuring of the liquid and less accurate transport properties. The rigid four-point TIP4P-ST model is highly accurate for a broad range of thermodynamic and kinetic properties, with similar performance compared to recently developed four-point water models. The results show surface tension to be a useful fitting property in general, especially when self-polarization corrections or nuclear quantum corrections are not readily available for correcting the heat of vaporization as is the case for other molecular liquids.

Entities:  

Year:  2019        PMID: 31314516     DOI: 10.1021/acs.jpcb.9b05455

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  4 in total

1.  Alchemical Free Energy Estimators and Molecular Dynamics Engines: Accuracy, Precision, and Reproducibility.

Authors:  Alexander D Wade; Agastya P Bhati; Shunzhou Wan; Peter V Coveney
Journal:  J Chem Theory Comput       Date:  2022-05-24       Impact factor: 6.578

2.  Open Force Field Evaluator: An Automated, Efficient, and Scalable Framework for the Estimation of Physical Properties from Molecular Simulation.

Authors:  Simon Boothroyd; Lee-Ping Wang; David L Mobley; John D Chodera; Michael R Shirts
Journal:  J Chem Theory Comput       Date:  2022-05-04       Impact factor: 6.578

Review 3.  Water in Nanopores and Biological Channels: A Molecular Simulation Perspective.

Authors:  Charlotte I Lynch; Shanlin Rao; Mark S P Sansom
Journal:  Chem Rev       Date:  2020-08-25       Impact factor: 60.622

4.  Assigning confidence to molecular property prediction.

Authors:  AkshatKumar Nigam; Robert Pollice; Matthew F D Hurley; Riley J Hickman; Matteo Aldeghi; Naruki Yoshikawa; Seyone Chithrananda; Vincent A Voelz; Alán Aspuru-Guzik
Journal:  Expert Opin Drug Discov       Date:  2021-06-15       Impact factor: 7.050

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.