Literature DB >> 16008466

A potential model for the study of ices and amorphous water: TIP4P/Ice.

J L F Abascal1, E Sanz, R García Fernández, C Vega.   

Abstract

The ability of several water models to predict the properties of ices is discussed. The emphasis is put on the results for the densities and the coexistence curves between the different ice forms. It is concluded that none of the most commonly used rigid models is satisfactory. A new model specifically designed to cope with solid-phase properties is proposed. The parameters have been obtained by fitting the equation of state and selected points of the melting lines and of the coexistence lines involving different ice forms. The phase diagram is then calculated for the new potential. The predicted melting temperature of hexagonal ice (Ih) at 1 bar is 272.2 K. This excellent value does not imply a deterioration of the rest of the properties. In fact, the predictions for both the densities and the coexistence curves are better than for TIP4P, which previously yielded the best estimations of the ice properties.

Entities:  

Year:  2005        PMID: 16008466     DOI: 10.1063/1.1931662

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


  67 in total

1.  Structure of supercooled water in clusters and bulk and its relation to the two-state picture of water: results from the TIP4P-ice model.

Authors:  J Gelman Constantin; A Rodriguez Fris; G Appignanesi; M Carignano; I Szleifer; H Corti
Journal:  Eur Phys J E Soft Matter       Date:  2011-11-24       Impact factor: 1.890

2.  Natural polarizability and flexibility via explicit valency: the case of water.

Authors:  Seyit Kale; Judith Herzfeld
Journal:  J Chem Phys       Date:  2012-02-28       Impact factor: 3.488

3.  Direct calculation of ice homogeneous nucleation rate for a molecular model of water.

Authors:  Amir Haji-Akbari; Pablo G Debenedetti
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

4.  Characterizing key features in the formation of ice and gas hydrate systems.

Authors:  Shuai Liang; Kyle Wm Hall; Aatto Laaksonen; Zhengcai Zhang; Peter G Kusalik
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-06-03       Impact factor: 4.226

5.  Combined molecular dynamics and neural network method for predicting protein antifreeze activity.

Authors:  Daniel J Kozuch; Frank H Stillinger; Pablo G Debenedetti
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-07       Impact factor: 11.205

6.  Role of proton ordering in adsorption preference of polar molecule on ice surface.

Authors:  Zhaoru Sun; Ding Pan; Limei Xu; Enge Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-25       Impact factor: 11.205

7.  Crystal Nucleation in Liquids: Open Questions and Future Challenges in Molecular Dynamics Simulations.

Authors:  Gabriele C Sosso; Ji Chen; Stephen J Cox; Martin Fitzner; Philipp Pedevilla; Andrea Zen; Angelos Michaelides
Journal:  Chem Rev       Date:  2016-05-26       Impact factor: 60.622

8.  Direct observation of 2-dimensional ices on different surfaces near room temperature without confinement.

Authors:  Chongqin Zhu; Yurui Gao; Weiduo Zhu; Jian Jiang; Jie Liu; Jianjun Wang; Joseph S Francisco; Xiao Cheng Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-02       Impact factor: 11.205

9.  Unraveling nucleation pathway in methane clathrate formation.

Authors:  Liwen Li; Jie Zhong; Youguo Yan; Jun Zhang; Jiafang Xu; Joseph S Francisco; Xiao Cheng Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-21       Impact factor: 11.205

10.  Ammonia clathrate hydrates as new solid phases for Titan, Enceladus, and other planetary systems.

Authors:  Kyuchul Shin; Rajnish Kumar; Konstantin A Udachin; Saman Alavi; John A Ripmeester
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

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