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Searching for structural predictors of plasticity in dense active packings
Julia A Giannini1,2, Ethan M Stanifer3, M Lisa Manning1,2
1Department of Physics, Syracuse University, Syracuse, New York 13244, USA. jagianni@syr.edu.
Soft Matter
|February 2, 2022
Summary
Researchers developed a new model for dense active matter, like crowds, to predict particle rearrangements. This model, inspired by amorphous solids, works best in low-pressure areas, offering insights into active system dynamics.
Area of Science:
- Physics
- Materials Science
- Complex Systems
Background:
- Amorphous solids utilize structural indicators to predict plasticity and rearrangements.
- Dense active materials pose challenges for these indicators due to the lack of stable reference states.
Purpose of the Study:
- To develop and test a structural indicator for predicting plasticity in dense active matter.
- To understand the applicability of existing indicators in systems with directed motion and pressure gradients.
Main Methods:
- Developed a computational model for a dense active crowd attracted to a central point.
- Mapped the active matter system to a granular packing with an external potential.
- Extended a linear response-based structural indicator to active systems with noisy dynamics.
Main Results:
- The active matter system exhibits a mechanically stable reference state under specific conditions.
- The linear response indicator successfully predicts plasticity in low-pressure regions.
- The indicator's predictive power diminishes in high-pressure interior regions due to directed activity and free boundaries.
Conclusions:
- Structural indicators can be adapted for dense active matter, but their efficacy is pressure-dependent.
- Strong pressure gradients and free boundaries significantly influence the system's linear response.
- Future research should focus on refining structure-dynamics predictions for systems with pronounced pressure gradients.
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