Literature DB >> 23793830

Computer simulation of diffusion in silica liquid under temperature and pressure.

P K Hung1, N T T Ha, N V Hong.   

Abstract

We have studied the diffusion mechanism in silica liquid following a new approach where the diffusion rate is estimated via the rate of SiO(x) → SiO(x±1) and the mean square displacement of Si particles per SiO(x) → SiO(x±1). Molecular dynamics simulation has been conducted for a model consisting of 1998 particles over a wide range of temperatures (3000-4500 K) and pressure (from 0 to 25.75 GPa). Our results show that the rate of SiO(x) → SiO(x±1) increases either with increasing the temperature or pressure. Further, we find that SiO(x) → SiO(x±1) is heterogeneously distributed through the network structure of the liquid. In particular, it is concentrated on a small section of Si particles in a low-temperature regime and at ambient pressure. The spatial localisation of SiO(x) → SiO(x±1) originates from the fact that the stable unit in low- and high-pressure regime is SiO4 and SiO6, respectively. The major change in the diffusion mechanism under pressure or temperature concerns the change in the distribution of SiO(x) → SiO(x±1) through the network structure. It is finally shown that the spatial localisation of SiO(x) → SiO(x±1) is responsible for the dynamics heterogeneity and the diffusion anomaly for silica liquid. This finding supports the concept that as the temperature approaches the glass transition point, SiO(x) → SiO(x±1) spatially localises such that the diffusivity drops and the dynamics are anomalously slow.

Entities:  

Year:  2013        PMID: 23793830     DOI: 10.1140/epje/i2013-13060-9

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


  19 in total

1.  Spatially heterogeneous dynamics in supercooled liquids.

Authors:  M D Ediger
Journal:  Annu Rev Phys Chem       Date:  2000       Impact factor: 12.703

2.  Connection between Adam-Gibbs theory and spatially heterogeneous dynamics.

Authors:  Nicolas Giovambattista; Sergey V Buldyrev; Francis W Starr; H Eugene Stanley
Journal:  Phys Rev Lett       Date:  2003-02-28       Impact factor: 9.161

3.  Particle dynamics and the development of string-like motion in a simulated monoatomic supercooled liquid.

Authors:  Y Gebremichael; M Vogel; S C Glotzer
Journal:  J Chem Phys       Date:  2004-03-01       Impact factor: 3.488

4.  Field theory of fluctuations in glasses.

Authors:  S Franz; G Parisi; F Ricci-Tersenghi; T Rizzo
Journal:  Eur Phys J E Soft Matter       Date:  2011-09-26       Impact factor: 1.890

5.  Molecular dynamics study of pressure enhancement of ion mobilities in liquid silica.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-04-17       Impact factor: 9.161

6.  Molecular structural order and anomalies in liquid silica.

Authors:  M Scott Shell; Pablo G Debenedetti; Athanassios Z Panagiotopoulos
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-07-23

7.  Dynamics and energy landscape in a tetrahedral network glass-former: direct comparison with models of fragile liquids.

Authors:  D Coslovich; G Pastore
Journal:  J Phys Condens Matter       Date:  2009-06-19       Impact factor: 2.333

8.  Dynamical heterogeneity in a highly supercooled liquid: consistent calculations of correlation length, intensity, and lifetime.

Authors:  Hideyuki Mizuno; Ryoichi Yamamoto
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-07-27

9.  Pressure enhancement of ion mobilities in liquid silicates from computer simulation studies to 800 kilobars.

Authors:  C A Angell; P A Cheeseman; S Tamaddon
Journal:  Science       Date:  1982-11-26       Impact factor: 47.728

10.  The nature of the glass transition in a silica-rich oxide melt.

Authors:  I Farnan; J F Stebbins
Journal:  Science       Date:  1994-08-26       Impact factor: 47.728

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