Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-03-03
Physics
Condensed Matter
Disordered Systems and Neural Networks
Scientific paper
Supercooled liquids display fascinating properties upon cooling such as the emergence of dynamic length scales. Different models strongly vary with respect to the choice of the elementary subsystems (CRR) as well as their mutual coupling. Here we show via computer simulations of a glass former that both ingredients can be identified via analysis of finite-size effects within the continuous-time random walk framework. The CRR already contain complete information about thermodynamics and diffusivity whereas the coupling determines structural relaxation and the emergence of dynamic length scales.
Heuer Andreas
Rehwald Christian
Rubner Oliver
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