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tackles systems with gradients in temperature, pressure, or concentration. It's crucial for understanding , , and , extending classical thermodynamics to more complex scenarios.

is key in non-equilibrium processes, measuring and energy . The second law states that entropy always increases in isolated systems, highlighting the irreversible nature of these processes and their connection to gradients and .

Introduction to Non-Equilibrium Thermodynamics

Non-equilibrium thermodynamics fundamentals

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  • Branch of thermodynamics dealing with systems not in thermodynamic equilibrium extends classical thermodynamics principles to systems with gradients in temperature, pressure, concentration, or other thermodynamic variables
  • Applies to transport phenomena including heat transfer, mass transfer, and fluid dynamics, chemical reactions and combustion processes, biological systems and biophysics, materials science and engineering involving , , and interfacial phenomena

Entropy production in non-equilibrium processes

  • Measures irreversibility of a process and rate of entropy generation within a system quantifies dissipation of energy and generation of disorder in non-equilibrium processes
  • states total entropy of an isolated system always increases over time in non-equilibrium processes, entropy production is always positive, indicating irreversible nature of these processes
  • Related to gradients of thermodynamic variables (temperature, pressure, concentration) and fluxes of energy, mass, or other quantities rate of entropy production given by product of flux and corresponding thermodynamic force (gradient)

Advanced Concepts in Non-Equilibrium Thermodynamics

Systems far from equilibrium

  • assumes system is close to equilibrium, fluxes linearly related to thermodynamic forces allows use of linear phenomenological equations (Fourier's law for heat conduction, Fick's law for diffusion)
  • Far-from-equilibrium systems exhibit , linear approximations may no longer be valid more advanced theories required (, )
  • important in studying far-from-equilibrium systems concepts of , , and can emerge in systems driven far from equilibrium (, , )

Onsager reciprocal relations

  • Developed by Lars Onsager, describe coupling between different transport processes in a system near equilibrium
  • Relations state matrix of (LijL_{ij}), relating fluxes (JiJ_i) to thermodynamic forces (XjX_j), is symmetric: Lij=LjiL_{ij} = L_{ji}
  • Symmetry implies gradient in one thermodynamic variable can induce flux of another variable, and vice versa (temperature gradient inducing mass flux (), concentration gradient inducing heat flux ())
  • Important consequences for efficiency of coupled transport processes and design of thermodynamic devices (thermoelectric generators, fuel cells)
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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.

© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.
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