2004
DOI: 10.1103/physreve.69.066123
|View full text |Cite
|
Sign up to set email alerts
|

Melting of polydisperse hard disks

Abstract: The melting of a polydisperse hard-disk system is investigated by Monte Carlo simulations in the semigrand canonical ensemble. This is done in the context of possible continuous melting by a dislocation-unbinding mechanism, as an extension of the two-dimensional hard-disk melting problem. We find that while there is pronounced fractionation in polydispersity, the apparent density-polydispersity gap does not increase in width, contrary to 3D polydisperse hard spheres. The point where the Young's modulus is low … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

3
39
0

Year Published

2008
2008
2017
2017

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 49 publications
(42 citation statements)
references
References 31 publications
(60 reference statements)
3
39
0
Order By: Relevance
“…For smaller Á, the ratio increases more rapidly with an increase in . We note that the system is ordered for Á 8% [11,25,26]. How the behavior of T > eff =T changes toward the critical Á, which separates the ordered and disordered region, is an interesting problem, but it is beyond the scope of this Letter.…”
mentioning
confidence: 96%
“…For smaller Á, the ratio increases more rapidly with an increase in . We note that the system is ordered for Á 8% [11,25,26]. How the behavior of T > eff =T changes toward the critical Á, which separates the ordered and disordered region, is an interesting problem, but it is beyond the scope of this Letter.…”
mentioning
confidence: 96%
“…We now boost thermalization by implementing a swap algorithm [18][19][20]. With probability α, we perform conventional Monte-Carlo moves where particles are translated, and with probability (1 − α) we perform a swap move where we pick two particles at random and attempt to exchange their diameters.…”
mentioning
confidence: 99%
“…The key enabling factor of our computational approach is the combination of swap Monte-Carlo moves to standard single-particle translations [18][19][20], which is a simple instance of a cluster move [21,22]. Swap moves enhance thermalization in simple mixtures [23], but their efficiency is significantly higher in continuously polydisperse systems [24][25][26].…”
mentioning
confidence: 99%
“…In the case of the polydisperse soft system, the particle size distribution was taken to be Gaussian [17,18]; for binary soft disk system the particle size distribution was composed of two Dirac delta functions of equal amplitudes. The Poisson's ratio of the polydisperse and binary soft disk crystalline phases were determined by Monte Carlo simulation using the analysis of box fluctuations in the constant pressure ensemble with variable box shape (NpT) [19][20][21].…”
Section: Simulation Detailsmentioning
confidence: 99%