ArticlePhysical review letters2021
Inverse Power Law Scaling of Energy Dissipation Rate in Nonequilibrium Reaction Networks.
Article in Physical review letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Energetic gradients emerge in developing motor-microtubule structures.bioRxiv : the preprint server for biology · 2026Article
- Stochastic thermodynamics for biological functions.Quantitative biology (Beijing, China) · 2025Review
- Flexibility and sensitivity in gene regulation out of equilibrium.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Time-reversal symmetry breaking in the chemosensory array reveals a general mechanism for dissipation-enhanced cooperative sensing.Nature communications · 2024Article
- Milestoning estimators of dissipation in systems observed at a coarse resolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A nonequilibrium allosteric model for receptor-kinase complexes: The role of energy dissipation in chemotaxis signaling.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Dissipation and energy propagation across scales in an active cytoskeletal material.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Energy Cost for Flocking of Active Spins: The Cusped Dissipation Maximum at the Flocking Transition.Physical review letters · 2022Article
- Eukaryotic gene regulation at equilibrium, or non?Current opinion in systems biology · 2022Article
- State-space renormalization group theory of nonequilibrium reaction networks: Exact solutions for hypercubic lattices in arbitrary dimensions.Physical review. E · 2022Article
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3 authors.
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Abstract
The energy dissipation rate in a nonequilibrium reaction system can be determined by the reaction rates in the underlying reaction network. By developing a coarse-graining process in state space and a corresponding renormalization procedure for reaction rates, we find that energy dissipation rate has an inverse power-law dependence on the number of microscopic states in a coarse-grained state. The dissipation scaling law requires self-similarity of the underlying network, and the scaling exponent depends on the network structure and the probability flux correlation. Existence of the inverse dissipation scaling law is shown in realistic biochemical systems such as biochemical oscillators and microtubule-kinesin active flow systems.
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