Engel et al 2013
From Werner KRAUTH
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| [http://link.aps.org/doi/10.1103/PhysRevE.87.042134 Paper in Physical Review E (Subscription needed)] | [http://link.aps.org/doi/10.1103/PhysRevE.87.042134 Paper in Physical Review E (Subscription needed)] | ||
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| + | This paper was chosen, in 2018, as the (only) Milestone Physical Review E paper for 2013, by the PRE editorial board. | ||
| =Context= | =Context= | ||
Revision as of 23:11, 16 October 2018
M. Engel, J. A. Anderson, S. C. Glotzer, M. Isobe, E. P. Bernard, W. Krauth Hard-disk equation of state: First-order liquid-hexatic transition in two dimensions with three simulation methods Phys. Rev. E 87, 042134 (2013)
Contents |
Paper
Abstract: We report large-scale computer simulations of the hard-disk system at high densities in the region of the melting transition. Our simulations reproduce the equation of state, previously obtained using the event-chain Monte Carlo algorithm, with a massively parallel implementation of the local Monte Carlo method and with event-driven molecular dynamics. We analyze the relative performance of these simulation methods to sample configuration space and approach equilibrium. Phase coexistence is visualized for individual configurations via the local orientations, and positional correlation functions are computed. Our results confirm the first-order nature of the liquid-hexatic phase transition in hard disks.
Electronic version (from arXiv)
Paper in Physical Review E (Subscription needed)
Milestone
This paper was chosen, in 2018, as the (only) Milestone Physical Review E paper for 2013, by the PRE editorial board.
Context
This paper, on a first-order transition in two dimensions, by a collaboration on three continents (!), confirms the findings of my 2011 paper, with Etienne Bernard about the first-order liquid-hexatic transition in hard disks. Working on the paper was extremely interesting and our earlier calculations were put to a quite stringent test. Not only were the simulation algorithms different (massively parallel Monte Carlo, event-driven molecular dynamics, event-driven Monte Carlo), but also the approaches to determine the equation of state varied considerably. In Monte Carlo, the pressure is obtained by an extrapolation of the pair-correlation function, which needs a lot of fine-tuning. In Molecular dynamics, one simply computes the number of collisions for as long a simulation as possible. Fortunately, all came out, finally, as we had said in 2011.
