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• W2072610596 abstract "We calculate the density of states of a binary Lennard-Jones glass using a recently proposed Monte Carlo algorithm. Unlike traditional molecular simulation approaches, the algorithm samples distinct configurations according to self-consistent estimates of the density of states, thereby giving rise to uniform internal-energy histograms. The method is applied to simulate the equilibrium, low-temperature thermodynamic properties of a widely studied glass former consisting of a binary mixture of Lennard-Jones particles. We show how a density-of-states algorithm can be combined with particle identity swaps and configurational bias techniques to study that system. Results are presented for the energy and entropy below the mode coupling temperature." @default.
• W2072610596 created "2016-06-24" @default.
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• W2072610596 date "2003-08-22" @default.
• W2072610596 modified "2023-10-18" @default.
• W2072610596 title "Density of states of a binary Lennard-Jones glass" @default.
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• W2072610596 doi "https://doi.org/10.1063/1.1594180" @default.
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