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相关论文: Scaling of Energy Dissipation in Nonequilibrium Re…

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We extend the energetic variational approach so it can be applied to a chemical reaction system with general mass action kinetics. Our approach starts with an energy-dissipation law. We show that the chemical equilibrium is determined by…

化学物理 · 物理学 2021-01-04 Yiwei Wang , Chun Liu , Pei Liu , Bob Eisenberg

When exposed to a thermal gradient, reaction networks can convert thermal energy into the chemical selection of states that would be unfavourable at equilibrium. The kinetics of reaction paths, and thus how fast they dissipate available…

统计力学 · 物理学 2021-09-01 Shiling Liang , Paolo De Los Rios , Daniel Maria Busiello

Nonequilibrium systems, in particular living organisms, are maintained by irreversible transformations of energy that drive diverse functions. Quantifying their irreversibility, as measured by energy dissipation, is essential for…

统计力学 · 物理学 2025-05-21 Qiwei Yu , Pedro E. Harunari

A three parameter scaling relationship between isotopic distributions for elements with Z$\leq 8$ has been observed that allows a simple description of the dependence of such distributions on the overall isospin of the system. This scaling…

核实验 · 物理学 2008-11-26 M. B. Tsang , W. A. Friedman , C. K. Gelbke , W. G. Lynch , G. Verde , H. Xu

Entropy production plays a fundamental role in the study of non-equilibrium systems by offering a quantitative handle on the degree of time-reversal symmetry breaking. It depends crucially on the degree of freedom considered as well as on…

统计力学 · 物理学 2022-05-04 Luca Cocconi , Guillaume Salbreux , Gunnar Pruessner

We compare reaction-diffusion processes of the $A+A\to 0$ type on scale-free networks created with either the configuration model or the uncorrelated configuration model. We show via simulations that except for the difference in the…

无序系统与神经网络 · 物理学 2009-11-11 Lazaros K. Gallos , Panos Argyrakis

Self-organization of active matter as well as driven granular matter in non-equilibrium dynamical states has attracted considerable attention not only from the fundamental and application viewpoints but also as a model to understand the…

软凝聚态物质 · 物理学 2015-09-14 Yuta Komatsu , Hajime Tanaka

We study the decay process for the reaction-diffusion process of three species on the small-world network. The decay process is manipulated from the deterministic rate equation of three species in the reaction-diffusion system. The particle…

统计力学 · 物理学 2007-05-23 Kyungsik Kim , K. H. Chang , M. -K. Yum , J. S. Choi , T. Odagaki

Reaction-diffusion systems with reversible reactions generically display power-law relaxation towards chemical equilibrium. In this work we investigate through numerical simulations aging processes that characterize the non-equilibrium…

统计力学 · 物理学 2011-06-10 Nasrin Afzal , Justin Waugh , Michel Pleimling

Nonlinear gyrokinetics provides a suitable framework to describe short-wavelength turbulence in magnetized laboratory and astrophysical plasmas. In the electrostatic limit, this system is known to exhibit a free energy cascade towards small…

等离子体物理 · 物理学 2014-08-07 S. S. Cerri , A. Bañón Navarro , F. Jenko , D. Told

In a recent work [Reible et al., Phys. Rev. Res. 5, 023156, 2023], it has been shown that the mean particle-particle interaction across an ideal surface that divides a system into two parts, can be employed to estimate the size dependence…

统计力学 · 物理学 2024-01-25 Luigi Delle Site , Carsten Hartmann

We analyze the coherent quantum evolution of a many-particle system after slowly sweeping a power-law confining potential. The amplitude of the confining potential is varied in time along a power-law ramp such that the many-particle system…

统计力学 · 物理学 2015-05-19 Mario Collura , Dragi Karevski

It has recently been shown that the expected energy requirements of a control action applied to a complex network scales exponentially with the number of nodes that are targeted. While the exponential scaling law provides an adequate…

物理与社会 · 物理学 2018-01-30 Isaac Klickstein , Ishan Kafle , Sudarshan Bartaula , Francesco Sorrentino

We consider linear reaction systems with slow and fast reactions, which can be interpreted as master equations or Kolmogorov forward equations for Markov processes on a finite state space. We investigate their limit behavior if the fast…

数学物理 · 物理学 2021-06-23 Alexander Mielke , Artur Stephan

We develop a framework describing the dynamics and thermodynamics of open non-ideal reaction-diffusion systems, which embodies Flory-Huggins theories of mixtures and chemical reaction network theories. Our theory elucidates the mechanisms…

分子网络 · 定量生物学 2024-12-05 Francesco Avanzini , Timur Aslyamov , Étienne Fodor , Massimiliano Esposito

The dissipative mechanism in weakly collisional plasma is a topic that pervades decades of studies without a consensus solution. We compare several energy dissipation estimates based on energy transfer processes in plasma turbulence and…

Energy dissipation in a nonequilibrium steady state is studied in driven quantum Langevin systems. We study energy dissipation flow to thermal environment, and obtain a general formula for the average rate of energy dissipation using an…

统计力学 · 物理学 2009-11-13 Keiji Saito

We study diffusion-controlled processes in nonequilibrium steady states, where standard rate theory assumptions break down. Using transition path theory, we generalize the relations between reactive probability fluxes and measures of the…

化学物理 · 物理学 2025-06-02 Seokjin Moon , David T. Limmer

We study biochemical reaction networks capable of product discrimination inspired by biological proofreading mechanisms. At equilibrium, product discrimination, the selective formation of a "correct" product with respect to an "incorrect…

生物物理 · 物理学 2023-04-17 Gaurav G. Venkataraman , Eric A. Miska , David J. Jordan

We study stationary distributions in the context of stochastic reaction networks. In particular, we are interested in complex balanced reaction networks and reduction of such networks by assuming a set of species (called non-interacting…

概率论 · 数学 2024-02-06 Linard Hoessly , Carsten Wiuf , Panqiu Xia
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