Dynamics in the metabasin space of a Lennard-Jones glass former: connectivity and transition rates.
Using simulations, we construct the effective dynamics in metabasin space for a Lennard-Jones glass former. Metabasins are identified via a scheme that measures transition rates between inherent structures and generates clusters of inherent structures by drawing in branches that have the largest transition rates. This construction is fundamentally different from the stochastic approach based on molecular-dynamics trajectories. The effective dynamics in this metabasin space is shown to be Markovian but to differ significantly from the simplest trap models. We specifically show that retaining information about the connectivity in this metabasin space is crucial for reproducing the slow dynamics observed in this system.
Yang
Yasheng
Y
Martin Fisher School of Physics, Brandeis University, Mailstop 057, Waltham, Massachusetts 02454-9110, USA.
Chakraborty
Bulbul
B