Thermodynamics and statistical mechanics of frozen systems in inherent states

Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

Volumn 66, Issue 6, 2002, Pages 10-

  Fierro, Annalisa ^a   Nicodemi, Mario ^a   Coniglio, Antonio ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY MIXTURES; COMPUTER SIMULATION; ENTROPY; GLASS; GRANULAR MATERIALS; HAMILTONIANS; MATHEMATICAL MODELS; MONTE CARLO METHODS; POTENTIAL ENERGY; STATISTICAL MECHANICS; THERMODYNAMIC PROPERTIES;

FROZEN SYSTEMS; GIBBS MEASURES; HARD-SPHERE BINARY MIXTURES; NONTHERMAL SYSTEMS; THERMAL FLUCTUATIONS;

THERMODYNAMICS;

ARTICLE;

EID: 41349105231     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.66.061301     Document Type: Article

References (57)

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49. (Formula presented) is measured in Monte Carlo steps (MCS), where 1 MCS corresponds to N attempts to move a particle randomly chosen, and (Formula presented) is the number of particles.
50. Note that with our approach it is also possible to explore low density inherent states in a stationary regime and not only the off-equilibrium “glassy regime,” as instead in Ref. 11. For instance, the frustrated lattice gas model at density (Formula presented) is hardly found in an out of equilibrium quasistationary state (at any finite value of the bath temperature the system quickly reaches the equilibrium state). We have considered the model Eq. (1), at (Formula presented) and we have performed an usual Monte Carlo diffusive dynamics of the model. At a starting time, we prepared the system in equilibrium with a very high bath temperature. Afterwards, it is suddenly cooled at a very low (Formula presented) but the system quickly reaches the equilibrium state, and (Formula presented) coincides with (Formula presented)
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56. In the previous case, (Formula presented) the minimum energy (Formula presented) is zero.
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