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Updated: Nov 7, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
A direct link between active matter and sheared granular systems
Peter K Morse1, Sudeshna Roy2,3, Elisabeth Agoritsas4
1Department of Chemistry, Duke University, Durham, NC 27710; peter.k.morse@gmail.com mmanning@syr.edu.
Researchers found that dense active matter and sheared amorphous solids share similar critical behaviors, like avalanche statistics. A new mean-field model accurately predicts this equivalence, offering a universal framework for disordered materials.
Area of Science:
- Physics
- Materials Science
- Complex Systems
Background:
- The mechanical properties of dense active matter and sheared amorphous solids exhibit striking similarities.
- A rigorous understanding of the underlying mechanisms driving this observed equivalence is lacking.
Purpose of the Study:
- To develop a theoretical model explaining the shared critical behavior of dense active matter and sheared amorphous solids.
- To validate mean-field predictions in lower dimensions and identify unifying principles for disordered materials.
Main Methods:
- Development of a mean-field model predicting critical behavior equivalence based on avalanche statistics.
- Numerical simulations using an "athermal quasistatic random displacement" protocol in two dimensions.
- Identification of a general class of perturbations bridging different force regimes.
Main Results:
- The mean-field model accurately predicts equivalent critical behavior (avalanche statistics) in infinite dimensions, up to a rescaling factor.
- These predictions show surprising accuracy in two-dimensional simulations, validating the model in low dimensions.
- A perturbation framework was identified that smoothly connects localized forces in active matter to system-spanning displacements in sheared solids.
Conclusions:
- Dense active matter and sheared amorphous solids share a universal framework governing their flow, deformation, and failure.
- The developed mean-field model provides a powerful tool for predicting the behavior of diverse disordered materials.
- This research bridges the gap between active and passive disordered systems, offering new insights into material mechanics.
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