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Functional constraints on phenomenological coefficients.

Václav Klika1, Michal Pavelka2, Jay B Benziger3

  • 1Department of Mathematics, FNSPE, Czech Technical University in Prague, Trojanova 13, 120 00, Prague, Czech Republic.

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|March 17, 2017
PubMed
Summary
This summary is machine-generated.

New constraints on thermodynamic models reveal that phenomenological coefficients must share functional dependence on state variables, beyond Onsager

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Area of Science:

  • Non-equilibrium thermodynamics
  • Transport phenomena
  • Physical chemistry

Background:

  • Thermodynamic fluxes are typically proportional to thermodynamic forces, linked by phenomenological coefficients.
  • Onsager's relations establish symmetry in the phenomenological coefficient matrix, simplifying models.
  • Existing models do not fully constrain the functional dependence of these coefficients on thermodynamic state variables.

Purpose of the Study:

  • To demonstrate a new functional constraint on phenomenological coefficients in non-equilibrium thermodynamics.
  • To show that coefficients must share functional dependence on local thermodynamic state variables.
  • To reduce experimental effort by identifying these additional constraints.

Main Methods:

  • Analysis of a class of non-equilibrium thermodynamic models.
  • Derivation of functional relationships for phenomenological coefficients.
  • Application to coupled heat and mass transport (thermodiffusion) and coupled charge and mass transport (electro-osmotic drag).

Main Results:

  • Identified a novel functional constraint on phenomenological coefficients.
  • Demonstrated that coefficients must exhibit identical functional dependence on state variables.
  • Validated the constraint with examples of thermodiffusion and electro-osmotic drag.

Conclusions:

  • The functional dependence of phenomenological coefficients is a critical, previously overlooked constraint.
  • Thermodynamic models and experimental data require validation against this functional constraint.
  • These constraints significantly reduce the number of experiments needed to characterize transport phenomena.