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Heating and Cooling Curves02:44

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Cooling Rate Dependent Ellipsometry Measurements to Determine the Dynamics of Thin Glassy Films
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Published on: January 26, 2016

Temperature accelerated dynamics in glass-forming materials.

Dimitrios G Tsalikis1, Nikolaos Lempesis, Georgios C Boulougouris

  • 1School of Chemical Engineering, National Technical University of Athens, Zografou Campus, GR-15780 Athens, Greece.

The Journal of Physical Chemistry. B
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces temperature acceleration for molecular simulations, enhancing dynamical sampling. The method efficiently explores complex energy landscapes, revealing insights into glass transition dynamics.

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Area of Science:

  • Computational Physics
  • Materials Science
  • Statistical Mechanics

Background:

  • Classical molecular dynamics simulations face limitations in sampling complex energy landscapes over long timescales.
  • Understanding the dynamics near the glass transition temperature requires methods that can overcome energy barriers efficiently.

Purpose of the Study:

  • To develop and validate a methodology for improving dynamical sampling in molecular simulations using temperature acceleration.
  • To investigate the potential energy landscape and dynamics of glass-forming materials at the glass transition temperature.

Main Methods:

  • Combines Voter temperature-accelerated dynamics with multiple histogram reweighting and hazard plot analysis.
  • Utilizes the concept of inherent structures (local energy minima) and basin-to-basin transitions.
  • Applies the methodology to a Lennard-Jones potential model of a glass-forming material.

Main Results:

  • Achieves exhaustive sampling and evaluation of rate constants over time scales inaccessible to classical molecular dynamics.
  • Reveals extreme ruggedness of the potential energy landscape near the glass transition temperature.
  • Identifies characteristic distances and rate constants related to dynamical entrapment within metabasins and provides evidence for a random energy model.

Conclusions:

  • The proposed temperature acceleration methodology significantly enhances dynamical sampling efficiency.
  • The study provides detailed insights into the complex, rugged energy landscape and dynamics associated with the glass transition.
  • The configurational space exhibits fractal characteristics, with localized transitions having small Euclidean measures.