Entropy production in mesoscopic stochastic thermodynamics: nonequilibrium kinetic cycles driven by chemical potentials, temperatures, and mechanical forces
被引:43
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作者:
Qian, Hong
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机构:
Univ Washington, Dept Appl Math, Seattle, WA 98195 USAUniv Washington, Dept Appl Math, Seattle, WA 98195 USA
Qian, Hong
[1
]
Kjelstrup, Signe
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机构:
Norwegian Univ Sci & Technol, Dept Chem, NO-7491 Trondheim, NorwayUniv Washington, Dept Appl Math, Seattle, WA 98195 USA
Kjelstrup, Signe
[2
]
Kolomeisky, Anatoly B.
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机构:
Rice Univ, Dept Chem, 6100 Main St, Houston, TX 77005 USA
Rice Univ, Ctr Theoret Biol Phys, 6100 Main St, Houston, TX 77005 USAUniv Washington, Dept Appl Math, Seattle, WA 98195 USA
Kolomeisky, Anatoly B.
[3
,4
]
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h-index:
机构:
Bedeaux, Dick
[2
]
机构:
[1] Univ Washington, Dept Appl Math, Seattle, WA 98195 USA
nonequilibrium thermodynamics;
entropy production;
stochastic thermodynamics;
statistical mechanics;
LINEAR ONSAGER COEFFICIENTS;
GENERAL DIFFUSION PROCESS;
MOTOR PROTEIN KINETICS;
IRREVERSIBLE-PROCESSES;
ENTHALPY COMPENSATION;
ENERGY TRANSDUCTION;
ACTIVE-TRANSPORT;
MOLECULAR MOTOR;
ENZYME-KINETICS;
STEADY-STATE;
D O I:
10.1088/0953-8984/28/15/153004
中图分类号:
O469 [凝聚态物理学];
学科分类号:
070205 ;
摘要:
Nonequilibrium thermodynamics (NET) investigates processes in systems out of global equilibrium. On a mesoscopic level, it provides a statistical dynamic description of various complex phenomena such as chemical reactions, ion transport, diffusion, thermochemical, thermomechanical and mechanochemical fluxes. In the present review, we introduce a mesoscopic stochastic formulation of NET by analyzing entropy production in several simple examples. The fundamental role of nonequilibrium steady-state cycle kinetics is emphasized. The statistical mechanics of Onsager's reciprocal relations in this context is elucidated. Chemomechanical, thermomechanical, and enzyme-catalyzed thermochemical energy transduction processes are discussed. It is argued that mesoscopic stochastic NET in phase space provides a rigorous mathematical basis of fundamental concepts needed for understanding complex processes in chemistry, physics and biology. This theory is also relevant for nanoscale technological advances.