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Linear and nonlinear mechanical responses can be quite different in models for biological tissues

Preeti Sahu, Janice Kang, Gonca Erdemci-Tandogan, M. Lisa Manning

2020Soft Matter22 citationsDOIOpen Access PDF

Abstract

* = 3.81. However, the ordered ground states of 2D vertex models become linearly unstable at a lower value of control parameter (3.72), suggesting that there may be a decoupling between linear and nonlinear response. We demonstrate that the linear response does not correctly predict the nonlinear behavior in these systems: when the control parameter is between 3.72 and 3.81, cells cannot freely change neighbors even though the shear modulus is zero. These results highlight that the linear response of vertex models should not be expected to generically predict their rheology. We develop a simple geometric ansatz that correctly predicts the nonlinear response, which may serve as a framework for making nonlinear predictions in other vertex-like models.

Topics & Concepts

Nonlinear systemBiological systemStatistical physicsComputer scienceBiologyControl theory (sociology)Biochemical engineeringPhysicsArtificial intelligenceEngineeringQuantum mechanicsControl (management)Cellular Mechanics and InteractionsBlood properties and coagulationMicrofluidic and Bio-sensing Technologies
Linear and nonlinear mechanical responses can be quite different in models for biological tissues | Litcius