4.6 Article

A geometrically controlled rigidity transition in a model for confluent 3D tissues

Journal

NEW JOURNAL OF PHYSICS
Volume 20, Issue -, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1367-2630/aaaa13

Keywords

constraint counting; solid-fluid transition; rigidity transition; biological tissues; vertex model; jamming; residual stresses

Funding

  1. Alfred P Sloan Foundation
  2. Gordon and Betty Moore Foundation
  3. Research Corporation for Scientific Advancement
  4. NSF [ACI-1541396]
  5. Simons Foundation [446222, 454947, NSF-DMR-1352184, NSF-PHY-1607416]
  6. Direct For Mathematical & Physical Scien
  7. Division Of Materials Research [1352184] Funding Source: National Science Foundation
  8. Division Of Physics
  9. Direct For Mathematical & Physical Scien [1607416] Funding Source: National Science Foundation

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The origin of rigidity in disordered materials is an outstanding open problem in statistical physics. Previously, a class of 2D cellular models has been shown to undergo a rigidity transition controlled by a mechanical parameter that specifies cell shapes. Here, we generalize this model to 3D and find a rigidity transition that is similarly controlled by the preferred surface area S-0: the model is solid-like below a dimensionless surface area of s(0) equivalent to S-0/(V) over bar (2/3) approximate to with (V) over bar being the average cell volume, and fluid-like above this value. We demonstrate that, unlike jamming in soft spheres, residual stresses are necessary to create rigidity. These stresses occur precisely when cells are unable to obtain their desired geometry, and we conjecture that there is a well-defined minimal surface area possible for disordered cellular structures. We show that the behavior of this minimal surface induces a linear scaling of the shear modulus with the control parameter at the transition point, which is different from the scaling observed in particulate matter. The existence of such a minimal surface may be relevant for biological tissues and foams, and helps explain why cell shapes are a good structural order parameter for rigidity transitions in biological tissues.

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