2002
DOI: 10.1103/physreve.66.011202
|View full text |Cite
|
Sign up to set email alerts
|

Molecular structural order and anomalies in liquid silica

Abstract: The present investigation examines the relationship between structural order, diffusivity anomalies, and density anomalies in liquid silica by means of molecular dynamics simulations. We use previously defined orientational and translational order parameters to quantify local structural order in atomic configurations. Extensive simulations are performed at different state points to measure structural order, diffusivity, and thermodynamic properties. It is found that silica shares many trends recently reported … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

33
352
2

Year Published

2005
2005
2017
2017

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 301 publications
(387 citation statements)
references
References 42 publications
33
352
2
Order By: Relevance
“…For example, this method has been used in studies of a Potts antiferromagnet [12], random spin systems [13], quantum systems [14][15][16], fluids [17,18], binary Lennard-Jones glass [19], liquid crystals [20], polymers [17,21], proteins [22,23], other molecular systems [24,25], atomic clusters [26], optimization problems [27], and combinatorial number theory [28]. Generalizations and further studies of this sampling technique have also been carried out by several authors [29][30][31][32][33].…”
Section: Model and Methodsmentioning
confidence: 99%
“…For example, this method has been used in studies of a Potts antiferromagnet [12], random spin systems [13], quantum systems [14][15][16], fluids [17,18], binary Lennard-Jones glass [19], liquid crystals [20], polymers [17,21], proteins [22,23], other molecular systems [24,25], atomic clusters [26], optimization problems [27], and combinatorial number theory [28]. Generalizations and further studies of this sampling technique have also been carried out by several authors [29][30][31][32][33].…”
Section: Model and Methodsmentioning
confidence: 99%
“…33 To adapt the original lattice-based algorithm to continuum systems, preliminary Metropolis runs at low temperature were performed to estimate a lower bound on the energy bins (i.e., the ground state energy). 34 The simulation can also become trapped for long periods of time in regions of high degeneracy, so that energies with small g(U ) go a long time before being revisited. To remedy this, the energy bins can be broken up into overlapping subranges; ergodicity can be achieved more rapidly if the interval of energies to be traversed is smaller.…”
Section: Methodsmentioning
confidence: 99%
“…The structural properties of the fluid were obtained by inspection of the behavior of the translation order parameter [13][14][15], defined as…”
Section: Simulation Detailsmentioning
confidence: 99%
“…While for normal liquids the system becomes more structured with the increase of the density, water shows a maximum. Such behavior can be characterized by translational order parameter t [13][14][15] that exhibits a region in which t decreases under compression. The entropy also shows a very peculiar behavior.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation