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You have to do the same procedure as you would with all the other ingredients mentioned above. Apply Aloe vera gel and massage it on your beard.
You can do this twice in a day to make it soft. What next for softer beard? Honey is the next best thing that you can apply on your beard.
Honey will also promote hair growth and it helps in softening your beard. You could also add some lemon juice to it for added benefits.
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However if you really value and love your beard, you should definitely try these. Loved this story? The only source of flux in this situation is assumed to be diffusive flux :.
If flux were the result of both diffusive flux and advective flux , the convection—diffusion equation is the result. This is the case when corrosive gases diffuse through the oxidative layer towards the metal surface if we assume that concentration of gases in the environment is constant and the diffusion space — that is, the corrosion product layer — is semi-infinite , starting at 0 at the surface and spreading infinitely deep in the material.
This case is valid when some solution with concentration n 0 is put in contact with a layer of pure solvent.
As a quick approximation of the error function, the first 2 terms of the Taylor series can be used:. If D is time-dependent, the diffusion length becomes.
This idea is useful for estimating a diffusion length over a heating and cooling cycle, where D varies with temperature. Another simple case of diffusion is the Brownian motion of one particle.
The particle's Mean squared displacement from its original position is:. For a cylindrical cactus , the diffusion from photosynthetic cells on its surface to its center the axis of its cylindrical symmetry is a 2-D diffusion.
The MSD is symmetrically distributed over the 1D, 2D, and 3D space. Thus, the probability distribution of the magnitude of MSD in 1D is Gaussian and 3D is Maxwell-Boltzmann distribution.
The Chapman—Enskog formulae for diffusion in gases include exactly the same terms. Earlier, such terms were introduced in the Maxwell—Stefan diffusion equation.
Equations based on Fick's law have been commonly used to model transport processes in foods, neurons , biopolymers , pharmaceuticals , porous soils , population dynamics , nuclear materials, plasma physics , and semiconductor doping processes.
Theory of all voltammetric methods is based on solutions of Fick's equation. Much experimental research in polymer science and food science has shown that a more general approach is required to describe transport of components in materials undergoing glass transition.
In the vicinity of glass transition the flow behavior becomes "non-Fickian". The Fick's law is limiting case of the Maxwell—Stefan equations, when the mixture is extremely dilute and every chemical species is interacting only with the bulk mixture and not with other species.
To account for the presence of multiple species in a non-dilute mixture, several variations of the Maxwell—Stefan equations are used.
See also non-diagonal coupled transport processes Onsager relationship. When two miscible liquids are brought into contact, and diffusion takes place, the macroscopic or average concentration evolves following Fick's law.
On a mesoscopic scale, that is, between the macroscopic scale described by Fick's law and molecular scale, where molecular random walks take place, fluctuations cannot be neglected.
Such situations can be successfully modeled with Landau-Lifshitz fluctuating hydrodynamics. In this theoretical framework, diffusion is due to fluctuations whose dimensions range from the molecular scale to the macroscopic scale.
In particular, fluctuating hydrodynamic equations include a Fick's flow term, with a given diffusion coefficient, along with hydrodynamics equations and stochastic terms describing fluctuations.
When calculating the fluctuations with a perturbative approach, the zero order approximation is Fick's law.
The first order gives the fluctuations, and it comes out that fluctuations contribute to diffusion. This represents somehow a tautology , since the phenomena described by a lower order approximation is the result of a higher approximation: this problem is solved only by renormalizing the fluctuating hydrodynamics equations.
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