Kovacs-like memory effect in strain stiffening collagen networks
Abhishek Ghadai, Sayantan Majumdar
TL;DR
The paper investigates Kovacs-like memory effects in type-I collagen biopolymer networks, a disordered soft solid, using shear rheology and in-situ boundary imaging. Through a two-step deformation protocol, they observe a non-monotonic stress relaxation with a peak time $t_p$ that scales linearly with waiting time $t_w$, and this memory emerges only in the nonlinear strain-stiffening regime. A strong correlation between memory and negative normal stress is reported, supported by boundary-imaging that reveals spatially distinct, boundary-localized relaxation modes and affine velocity fields during deformation. These findings highlight the role of strain stiffening and normal-stress dynamics in enabling memory formation in biopolymer networks, with implications for designing memory-enabled soft materials and understanding extracellular matrix mechanics.
Abstract
Materials driven far from equilibrium can encode memories of past deformations through long-lived structural reorganisations. Such memory effects-reflecting parameters such as deformation direction, magnitude, and duration have been widely explored in soft amorphous solids. Here, we report a Kovacs-like memory effect manifested as a non-monotonic stress relaxation in vitro biopolymer networks formed by collagen, an essential component of the mammalian extracellular matrix. Using shear rheology combined with in-situ optical imaging, we find that this memory effect emerges exclusively in the nonlinear strain-stiffening regime, and persists over a much broader range of strain amplitudes than previously reported for other viscoelastic amorphous materials. Furthermore, we uncover a strong correlation between the memory response and the development of negative normal stresses and associated strain fields, highlighting the unique nonequilibrium mechanics underlying memory formation in biopolymer networks.
