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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Inherently unstable networks collapse to a critical point.

M Sheinman1,2, A Sharma1,3, J Alvarado4,5

  • 1Department of Physics and Astronomy, VU University, Amsterdam, The Netherlands.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 15, 2015
PubMed
Summary

We present a minimalist model of unstable elastic networks that collapse to a critical point. This model accurately reproduces experimental results for collapsing active gels, offering insights into nonequilibrium systems.

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Area of Science:

  • Physics
  • Materials Science
  • Soft Matter

Background:

  • Nonequilibrium systems driven towards critical points are a significant area of research.
  • Active elastic networks, particularly collapsing ones, present complex physical behaviors.
  • Understanding these systems is crucial for advancements in materials science.

Purpose of the Study:

  • To introduce a minimalist model for collapsing active elastic networks.
  • To investigate the critical point dynamics of unstable elastic networks.
  • To validate the model against experimental data from collapsing active gels.

Main Methods:

  • Development of a minimalist model for unstable elastic networks.
  • Simulation of network collapse from various initial configurations.
  • Inclusion of steric interactions to mimic real-world network behavior.
  • Qualitative and quantitative comparison with experimental results.

Main Results:

  • The model demonstrates a collapse towards a critical point from any connected initial state.
  • Steric interactions are shown to be essential for accurate modeling.
  • The model successfully reproduces experimental findings for collapsing active gels.
  • The system exhibits predictable behavior near its critical point.

Conclusions:

  • The minimalist model provides a robust framework for studying collapsing active elastic networks.
  • The findings highlight the importance of steric interactions in these systems.
  • This work offers a valuable tool for understanding nonequilibrium phenomena in soft matter.