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Area of Science:

  • Condensed matter physics
  • Materials science
  • Computational chemistry

Background:

  • Recent studies show the random barrier model (RBM) predicts frequency-dependent fluidity in glass-forming liquids.
  • The RBM was originally developed for AC electrical conduction in disordered solids.

Purpose of the Study:

  • To investigate the applicability of the RBM to the dynamics of a modified glass-forming liquid.
  • To explore the complex dynamics of glass-forming liquids using a simplified theoretical model.

Main Methods:

  • Developed a crystallization-resistant modification of the Kob-Andersen binary Lennard-Jones mixture.
  • Conducted extensive molecular-dynamics simulations using graphics-processing units (GPUs).
  • Analyzed low-temperature mean-square displacement data.

Main Results:

  • The low-temperature mean-square displacement data closely matched the RBM predictions.
  • The RBM, a simple model with no shape parameters, accurately described the simulation results.
  • Observed that a basic model of non-interacting particle hopping can replicate complex liquid dynamics.

Conclusions:

  • The random barrier model effectively describes the dynamics of a modified glass-forming liquid.
  • The success of the RBM highlights a gap in explaining how simple models capture complex cooperative dynamics in liquids.
  • Further research is needed to reconcile the simplicity of the RBM with the intricate behavior of glass-forming liquids.