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Nonequilibrium thermodynamics of non-ideal reaction-diffusion systems: Implications for active self-organization
Francesco Avanzini1, Timur Aslyamov2, Étienne Fodor2
1Department of Chemical Sciences, University of Padova, Via F. Marzolo, 1, I-35131 Padova, Italy.
The Journal of Chemical Physics
|November 4, 2024
Summary
We developed a framework for open reaction-diffusion systems, explaining how chemical reactions and diffusion create self-organized structures. This work quantifies the energy cost for these dynamic patterns.
Area of Science:
- Chemical Physics
- Thermodynamics
- Systems Biology
Background:
- Open reaction-diffusion systems exhibit complex emergent behaviors.
- Understanding the dynamics and thermodynamics of these systems is crucial for fields like systems biology.
- Existing theories often do not fully capture the interplay between non-ideal mixtures and reaction networks.
Purpose of the Study:
- To develop a unified theoretical framework for open non-ideal reaction-diffusion systems.
- To elucidate the mechanisms behind self-organized dissipative structures.
- To quantify the energetic costs associated with maintaining these structures.
Main Methods:
- Integration of Flory-Huggins theories for mixtures with chemical reaction network theories.
- Spatially resolved evaluation of dissipation from reaction and diffusion processes.
- Identification of reaction network classes where diffusion equilibrates within structures.
Main Results:
- The framework elucidates mechanisms for self-organized dissipative structure formation.
- It quantifies dissipation contributions from individual reaction and diffusion steps.
- Spatial configurations are derived by minimizing a kinetic potential, distinct from passive system free energy minimization.
Conclusions:
- The developed theory provides a novel approach to understanding open reaction-diffusion systems.
- It highlights the critical role of reaction networks in powering and shaping dissipative structures.
- This framework enables investigation into the energetic costs of phenomena like phase separation and biomolecular condensate formation.
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