Self-organized dynamics and emergent shape spaces of active isotropic fluid surfaces
Da Gao, Huayang Sun, Rui Ma, Alexander Mietke

TL;DR
This paper introduces a variational framework for analyzing the shape dynamics of active fluid surfaces, enabling systematic classification of non-equilibrium phase transitions and steady-state geometries in biological membrane models.
Contribution
The authors develop a novel variational approach based on dissipation functionals and Onsager relations to study emergent shapes and flows in active fluid surfaces, addressing geometric nonlinearities.
Findings
Classified non-equilibrium phase transitions in active surface shape spaces
Identified degenerate regions in stationary shape spaces of active surfaces
Revealed hydrodynamic screening mechanisms controlling cell-like shape transformations
Abstract
Theories of self-organized active fluid surfaces have emerged as an important class of minimal models for the shape dynamics of biological membranes, cells and tissues. However, due to their inherent geometric nonlinearities and the absence of general minimization principles in active systems, it remains a major challenge to systematically study the emergent shape spaces such theories give rise to. Here, we introduce a novel variational approach that allows for a direct computation of stationary surface geometries and flows, which enables the classification of non-equilibrium phase transitions in shape spaces described by active surface theories. To achieve this, we construct a dissipation functional systematically from the entropy production in active surfaces and show how generic symmetries imposed by Onsager relations can be exploited to also account for reactive non-dissipative…
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Taxonomy
TopicsMicro and Nano Robotics · Modular Robots and Swarm Intelligence
