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Accessing Valuable Ligand Supports for Transition Metals: A Modified, Intermediate Scale Preparation of 1,2,3,4,5-Pentamethylcyclopentadiene

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Can the glass transition be explained without a growing static length scale?

Ludovic Berthier¹, Giulio Biroli², Jean-Philippe Bouchaud³

¹Laboratoire Charles Coulomb (L2C), University of Montpellier, CNRS, Montpellier, France.

The Journal of Chemical Physics

|March 10, 2019

Summary

The SWAP Monte Carlo algorithm accelerates supercooled liquid simulations by postponing the onset of glassy dynamics. This finding supports the random first-order transition theory of the glass transition.

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Area of Science:

Computational physics
Materials science
Statistical mechanics

Background:

Supercooled liquids exhibit complex dynamics near the glass transition.
The SWAP Monte Carlo algorithm dramatically accelerates equilibration in glassy regimes.
This acceleration has been interpreted as evidence against static theories like random first-order transition (RFOT) theory.

Purpose of the Study:

To explain the acceleration effect of the SWAP algorithm within the framework of RFOT theory.
To propose a new interpretation of SWAP's efficiency in terms of "crumbling metastability".

Main Methods:

Monte Carlo simulations
Analysis of supercooled liquid dynamics
Theoretical modeling based on RFOT theory

Main Results:

The SWAP algorithm's speedup is explained by a postponed onset of glassy dynamics.
This phenomenon, termed "crumbling metastability," offers a new perspective on overcoming free-energy barriers.

Conclusions:

The SWAP algorithm's efficiency is reconcilable with the random first-order transition theory.
Changing local dynamical rules can circumvent thermodynamic free-energy barriers, challenging conventional explanations of the glass transition.