Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2001-08-17
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 5 figures
Scientific paper
We numerically investigate the thermodynamic properties of the glass state. As the object of our study, we employ a binary lattice gas model. Through Monte Carlo simulations, we find that this model actually experiences a glass transition. We introduce a potential into the model that represents a piston with which we compress the glass. By measuring the work performed in this process, we find that irreversible works exist at the glass state even in the quasistatic limit. This implies that yield stress is created by the glass transition.
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