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Related Experiment Videos

Trap models and slow dynamics in supercooled liquids.

R Aldrin Denny1, David R Reichman, Jean-Philippe Bouchaud

  • 1Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA.

Physical Review Letters
|February 7, 2003
PubMed
Summary

Phenomenological trap models accurately describe supercooled liquid dynamics using computer simulations. A Gaussian trap energy distribution effectively models landscape dynamics above and below the critical temperature (Tc).

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Area of Science:

  • Condensed Matter Physics
  • Computational Materials Science
  • Statistical Mechanics

Background:

  • Supercooled liquids exhibit complex dynamics governed by energy landscapes.
  • Phenomenological trap models offer a framework to understand these dynamics.
  • Mode-coupling theory (MCT) predicts a critical temperature (Tc) for liquid dynamics.

Purpose of the Study:

  • To test predictions of phenomenological trap models for supercooled liquids.
  • To evaluate the effectiveness of a Gaussian distribution of trap energies.
  • To investigate the nature of deep traps above and below Tc.

Main Methods:

  • Computer simulations of a model glass-forming liquid.
  • Analysis of landscape dynamics using a Gaussian trap energy distribution.

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  • Comparison of simulation results with theoretical predictions.

    • Main Results:

    • A Gaussian distribution of trap energies provides a good description of landscape dynamics.
    • This model remains effective even at temperatures above the mode-coupling theory critical temperature (Tc).
    • Deep traps are characterized as collections of inherent structures above Tc and single inherent structures below Tc.

    Conclusions:

    • Phenomenological trap models, particularly with Gaussian energy distributions, are robust descriptors of supercooled liquid dynamics.
    • The proposed scenario for deep trap composition offers insights into the glass transition.
    • Quantified deviations from the simple Gaussian model highlight areas for future refinement.