Micron Document




Transport coefficient
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A transport coefficient γ γ {\displaystyle \gamma } measures how rapidly a perturbed system returns to equilibrium.

The transport coefficients occur in transport phenomenon with transport laws

J k = γ γ k X k {\displaystyle \mathbf {J} _{k}=\gamma _{k}\mathbf {X} _{k}}

where:

J k {\displaystyle \mathbf {J} _{k}} is a flux of the property k {\displaystyle k}
the transport coefficient γ γ k {\displaystyle \gamma _{k}} of this property k {\displaystyle k}
X k {\displaystyle \mathbf {X} _{k}} , the gradient force which acts on the property k {\displaystyle k} .

Transport coefficients can be expressed via a Green–Kubo relation:

γ γ = ∫ ∫ 0 ∞ ∞ ⟨ A ˙ ˙ ( t ) A ˙ ˙ ( 0 ) ⟩ d t , {\displaystyle \gamma =\int _{0}^{\infty }\left\langle {\dot {A}}(t){\dot {A}}(0)\right\rangle \,dt,}

where A {\displaystyle A} is an observable occurring in a perturbed Hamiltonian, ⟨ ⟨ ⋅ ⋅ ⟩ ⟩ {\displaystyle \langle \cdot \rangle } is an ensemble average and the dot above the A denotes the time derivative.cite-ref-1[1] For times t {\displaystyle t} that are greater than the correlation time of the fluctuations of the observable the transport coefficient obeys a generalized Einstein relation:

2 t γ γ = ⟨ | A ( t ) − − A ( 0 ) | 2 ⟩ . {\displaystyle 2t\gamma =\left\langle |A(t)-A(0)|^{2}\right\rangle .}

In general a transport coefficient is a tensor.

Contents


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Examples

Diffusion constant, relates the flux of particles with the negative gradient of the concentration (see Fick's laws of diffusion)
Shear viscosity η η = 1 k B T V ∫ ∫ 0 ∞ ∞ d t ⟨ ⟨ σ σ x y ( 0 ) σ σ x y ( t ) ⟩ ⟩ {\displaystyle \eta ={\frac {1}{k_{B}TV}}\int _{0}^{\infty }dt\,\langle \sigma _{xy}(0)\sigma _{xy}(t)\rangle } , where σ σ {\displaystyle \sigma } is the viscous stress tensor (see Newtonian fluid)

Transport coefficients of higher order

For strong gradients the transport equation typically has to be modified with higher order terms (and higher order Transport coefficients).cite-ref-2[2]

See also
References

cite-note-11. Water in Biology, Chemistry, and Physics: Experimental Overviews and Computational Methodologies, G. Wilse Robinson, ISBN 9789810224516, p. 80, Google Books
cite-note-22. Kockmann, N. (2007). Transport Phenomena in Micro Process Engineering. Deutschland: Springer Berlin Heidelberg, page 66, Google books