Efficient measurement of point-to-set correlations and overlap fluctuations in glass-forming liquids.
Abstract
Cavity point-to-set correlations are real-space tools to detect the roughening of
the free-energy landscape that accompanies the dynamical slowdown of glass-forming
liquids. Measuring these correlations in model glass formers remains, however, a major
computational challenge. Here, we develop a general parallel-tempering method that
provides orders-of-magnitude improvement for sampling and equilibrating configurations
within cavities. We apply this improved scheme to the canonical Kob-Andersen binary
Lennard-Jones model for temperatures down to the mode-coupling theory crossover. Most
significant improvements are noted for small cavities, which have thus far been the
most difficult to study. This methodological advance also enables us to study a broader
range of physical observables associated with thermodynamic fluctuations. We measure
the probability distribution of overlap fluctuations in cavities, which displays a
non-trivial temperature evolution. The corresponding overlap susceptibility is found
to provide a robust quantitative estimate of the point-to-set length scale requiring
no fitting. By resolving spatial fluctuations of the overlap in the cavity, we also
obtain quantitative information about the geometry of overlap fluctuations. We can
thus examine in detail how the penetration length as well as its fluctuations evolve
with temperature and cavity size.
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https://hdl.handle.net/10161/15337Published Version (Please cite this version)
10.1063/1.4939640Publication Info
Berthier, Ludovic; Charbonneau, Patrick; & Yaida, Sho (2016). Efficient measurement of point-to-set correlations and overlap fluctuations in glass-forming
liquids. J Chem Phys, 144(2). pp. 024501. 10.1063/1.4939640. Retrieved from https://hdl.handle.net/10161/15337.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Patrick Charbonneau
Professor of Chemistry
Professor Charbonneau studies soft matter. His work combines theory and simulation
to understand the glass problem, protein crystallization, microphase formation, and colloidal
assembly in external fields.

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