Collective synchronization of dissipatively-coupled noise-activated processes

New Journal of Physics IOP Publishing 25:9 (2023) 093014

Authors:

M Chatzittofi, R Golestanian, J Agudo-Canalejo

Escaping kinetic traps using non-reciprocal interactions

(2023)

Authors:

Saeed Osat, Jakob Metson, Mehran Kardar, Ramin Golestanian

Minimum entropy production by microswimmers with internal dissipation.

Nature communications 14:1 (2023) 6060

Authors:

Abdallah Daddi-Moussa-Ider, Ramin Golestanian, Andrej Vilfan

Abstract:

The energy dissipation and entropy production by self-propelled microswimmers differ profoundly from passive particles pulled by external forces. The difference extends both to the shape of the flow around the swimmer, as well as to the internal dissipation of the propulsion mechanism. Here we derive a general theorem that provides an exact lower bound on the total, external and internal, dissipation by a microswimmer. The problems that can be solved include an active surface-propelled droplet, swimmers with an extended propulsive layer and swimmers with an effective internal dissipation. We apply the theorem to determine the swimmer shapes that minimize the total dissipation while keeping the volume constant. Our results show that the entropy production by active microswimmers is subject to different fundamental limits than the entropy production by externally driven particles.

Network Effects Lead to Self-Organization in Metabolic Cycles of Self-Repelling Catalysts.

Physical review letters 131:12 (2023) 128301

Authors:

Vincent Ouazan-Reboul, Ramin Golestanian, Jaime Agudo-Canalejo

Abstract:

Mixtures of particles that interact through phoretic effects are known to aggregate if they belong to species that exhibit attractive self-interactions. We study self-organization in a model metabolic cycle composed of three species of catalytically active particles that are chemotactic toward the chemicals that define their connectivity network. We find that the self-organization can be controlled by the network properties, as exemplified by a case where a collapse instability is achieved by design for self-repelling species. Our findings highlight a possibility for controlling the intricate functions of metabolic networks by taking advantage of the physics of phoretic active matter.

Pair Interaction between Two Catalytically Active Colloids.

Small (Weinheim an der Bergstrasse, Germany) 19:36 (2023) e2300817

Authors:

Priyanka Sharan, Abdallah Daddi-Moussa-Ider, Jaime Agudo-Canalejo, Ramin Golestanian, Juliane Simmchen

Abstract:

Due to the intrinsically complex non-equilibrium behavior of the constituents of active matter systems, a comprehensive understanding of their collective properties is a challenge that requires systematic bottom-up characterization of the individual components and their interactions. For self-propelled particles, intrinsic complexity stems from the fact that the polar nature of the colloids necessitates that the interactions depend on positions and orientations of the particles, leading to a 2d - 1 dimensional configuration space for each particle, in d dimensions. Moreover, the interactions between such non-equilibrium colloids are generically non-reciprocal, which makes the characterization even more complex. Therefore, derivation of generic rules that enable us to predict the outcomes of individual encounters as well as the ensuing collective behavior will be an important step forward. While significant advances have been made on the theoretical front, such systematic experimental characterizations using simple artificial systems with measurable parameters are scarce. Here, two different contrasting types of colloidal microswimmers are studied, which move in opposite directions and show distinctly different interactions. To facilitate the extraction of parameters, an experimental platform is introduced in which these parameters are confined on a 1D track. Furthermore, a theoretical model for interparticle interactions near a substrate is developed, including both phoretic and hydrodynamic effects, which reproduces their behavior. For subsequent validation, the degrees of freedom are increased to 2D motion and resulting trajectories are predicted, finding remarkable agreement. These results may prove useful in characterizing the overall alignment behavior of interacting self-propelling active swimmer and may find direct applications in guiding the design of active-matter systems involving phoretic and hydrodynamic interactions.