Postponing the dynamical transition density using competing interactions
Abstract
Systems of dense spheres interacting through very short-ranged attraction are known
from theory, simulations and colloidal experiments to exhibit dynamical reentrance.
Their liquid state can thus be fluidized at higher densities than possible in systems
with pure repulsion or with long-ranged attraction. A recent mean-field, infinite-dimensional
calculation predicts that the dynamical arrest of the fluid can be further delayed
by adding a longer-ranged repulsive contribution to the short-ranged attraction. We
examine this proposal by performing extensive numerical simulations in a three-dimensional
system. We first find the short-ranged attraction parameters necessary to achieve
the densest liquid state, and then explore the parameter space for an additional longer-ranged
repulsion that could further enhance reentrance. In the family of systems studied,
no significant (within numerical accuracy) delay of the dynamical arrest is observed
beyond what is already achieved by the short-ranged attraction. Possible explanations
are discussed.
Type
Journal articleSubject
Science & TechnologyTechnology
Physical Sciences
Materials Science, Multidisciplinary
Mechanics
Physics, Applied
Materials Science
Physics
Disorder systems
Glass
Dynamical transition
Square-well
Square-shoulder
Dynamical criticality
GLASS-TRANSITION
EQUILIBRIUM
BEHAVIOR
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https://hdl.handle.net/10161/24988Published Version (Please cite this version)
10.1007/s10035-020-0998-zPublication Info
Charbonneau, P; & Kundu, J (2020). Postponing the dynamical transition density using competing interactions. Granular Matter, 22(3). 10.1007/s10035-020-0998-z. Retrieved from https://hdl.handle.net/10161/24988.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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