Fast Monte Carlo algorithm for supercooled soft spheres

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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Details

4 pages, 8 figures, RevTex. Minor changes and new references. Version accepted in PRE

Scientific paper

10.1103/PhysRevE.63.045102

We present a nonlocal Monte Carlo algorithm with particle swaps that greatly
accelerates thermalization of soft sphere binary mixtures in the glassy region.
Our first results show that thermalization of systems of hundreds of particles
is achievable, and find behavior compatible with a thermodynamic glass
transition.

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