Adaptive Elastic Networks as models of supercooled liquids
Le Yan, Matthieu Wyart

TL;DR
This paper introduces adaptive elastic network models where the network's geometry can evolve with temperature, providing insights into the thermodynamics and structure of supercooled liquids near the rigidity transition.
Contribution
It extends previous elastic network models by allowing the network to adapt dynamically, and offers analytical predictions aligning with real material behaviors.
Findings
Structure-thermodynamics relationship holds in adaptive models
Redundant constraints behave like an ideal gas in the model
Distance to rigidity transition controls specific heat and phase space directions
Abstract
The thermodynamics and dynamics of supercooled liquids correlate with their elasticity. In particular for covalent networks, the jump of specific heat is small and the liquid is {\it strong} near the threshold valence where the network acquires rigidity. By contrast, the jump of specific heat and the fragility are large away from this threshold valence. In a previous work [Proc. Natl. Acad. Sci. U.S.A., 110, 6307 (2013)], we could explain these behaviors by introducing a model of supercooled liquids in which local rearrangements interact via elasticity. However, in that model the disorder characterizing elasticity was frozen, whereas it is itself a dynamic variable in supercooled liquids. Here we study numerically and theoretically adaptive elastic network models where polydisperse springs can move on a lattice, thus allowing for the geometry of the elastic network to fluctuate and…
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