Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-02-24
Physics
Condensed Matter
Disordered Systems and Neural Networks
Scientific paper
Dating from experiments more than 20 years ago, it has been realized that the crystallization of hard colloidal particles in the vicinity of dynamical arrest has several anomalies, that render the conventional nucleation and growth model inappropriate. Subsequently, key researchers have shown the influence of gravity. Here we show that a simple lattice model can capture most of the phenomena associated with such systems. In particular, the model reproduces not only characteristic signatures of glass-forming systems, but also the interplay between quasi arrested dynamics and crystal nucleation.
Cellai Davide
Dawson Kenneth A.
Fima Andrzej Z.
Lawlor Aonghus
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