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Local Self-Assembly of Dissipative Structures Sustained by Substrate Diffusion.

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Summary
This summary is machine-generated.

Researchers activated a dissipative self-assembly process, creating a long-lasting non-equilibrium steady state. This state features energy-dissipating assemblies and concentration gradients, crucial for understanding active matter and biological systems.

Keywords:
dissipative self-assemblyhydrogelnon-equilibriumreaction-diffusionsystems chemistry

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Area of Science:

  • Physical Chemistry
  • Materials Science
  • Soft Matter Physics

Background:

  • The interplay between molecular processes and macroscopic behavior is fundamental to natural systems and active matter.
  • Dissipative self-assembly is a key mechanism for generating complex structures and functions.

Purpose of the Study:

  • To investigate the temporal evolution of a macroscopic system activated by local dissipative self-assembly.
  • To characterize the resulting non-equilibrium steady state and the interdependence of its components.

Main Methods:

  • Local activation of dissipative self-assembly via surfactant injection into a hydrogel.
  • Substrate-templated formation of catalytic assemblies.
  • Monitoring of system evolution, including assembly formation and concentration gradients.

Main Results:

  • A macroscopic pseudo-non-equilibrium steady state (NESS) was achieved, sustained for over 4 days at high substrate concentrations.
  • The NESS is characterized by localized energy-dissipating assemblies and persistent gradients of substrate and waste.
  • A dynamic interdependence was observed: assemblies maintained gradients, while substrate diffusion stabilized assembly size.

Conclusions:

  • Spatial control over dissipative processes can create long-lasting NESS, enabling the study of dissipative structures in the space-time domain.
  • This work provides insights into biological systems and advances the development of active matter.
  • The findings highlight the crucial role of coupled molecular and macroscopic dynamics in emergent phenomena.