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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Updated: Mar 19, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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Large compact clusters and fast dynamics in coupled nonequilibrium systems.

Shauri Chakraborty1, Sukla Pal1, Sakuntala Chatterjee1

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Summary

This study reveals particle clustering in a coupled nonequilibrium system. Novel phases emerge where separated particles create ordered and disordered landscape regions, leading to unique coarsening dynamics.

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Area of Science:

  • Complex Systems
  • Statistical Physics
  • Soft Matter Physics

Background:

  • Nonequilibrium systems exhibit unique behaviors not seen in equilibrium.
  • Coupled particle-landscape interactions are crucial for understanding emergent phenomena.
  • Fluctuating landscapes can drive particle dynamics and self-organization.

Purpose of the Study:

  • To investigate particle clustering on macroscopic scales in a coupled particle-landscape system.
  • To explore novel nonequilibrium phases and their characteristics.
  • To analyze the dynamics of landscape ordering and coarsening.

Main Methods:

  • Simulating a two-species particle system advected by a fluctuating landscape.
  • Modifying the landscape through particle interactions.
  • Analyzing phase diagrams across varying particle densities and dimensions (1D and 2D).
  • Characterizing coarsening and steady-state dynamics.

Main Results:

  • Demonstrated particle clustering on macroscopic scales.
  • Generated a phase diagram revealing novel nonequilibrium phases.
  • Observed complete phase separation between particle species.
  • Showcased landscape ordering with coexisting disordered regions.
  • Identified algebraic growth of time scales for coarsening and steady-state dynamics.

Conclusions:

  • Coupled particle-landscape interactions lead to emergent macroscopic clustering and novel nonequilibrium phases.
  • The system exhibits unique dynamics distinct from pure domain systems.
  • The findings offer insights into self-organization in complex interacting systems.