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

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Ouazan-Reboul,  Vincent
Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Golestanian,  Ramin       
Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Agudo-Canalejo,  Jaime       
Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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PhysRevLett.131.128301.pdf
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Citation

Ouazan-Reboul, V., Golestanian, R., & Agudo-Canalejo, J. (2023). Network Effects Lead to Self-Organization in Metabolic Cycles of Self-Repelling Catalysts. Physical Review Letters, 131: 128301. doi:10.1103/PhysRevLett.131.128301.


Cite as: https://hdl.handle.net/21.11116/0000-000D-C8C5-3
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.