Such an equation would represent an ill-posed problem for all positive time (i.e. the solution is not defined). The irreversibility of diffusive processes is closely related to the second law of thermodynamics. Petr
coefficient
2X 2 is the coefficient
The coefficient is the number that multiplies a value. For example, the coefficient of 4x is 4. If n+3 is in brackets in the form (n+3) then the coefficient is one. If not the the coefficient of n is also 1.
A binomial coefficient is a coefficient of any of the terms in the expansion of the binomial (x+y)^n.
on the basis of molecular simulation the self diffusion coefficient of thiophene comes out to be 3.274e-9 m2/s
The diffusion coefficient generally increases with temperature. This is because higher temperatures lead to greater thermal energy, which enhances the movement of particles, resulting in increased diffusion rates. The relationship between diffusion coefficient and temperature can often be described by Arrhenius equation or by simple proportional relationship in many cases.
Yes, the partition coefficient can influence passive diffusion rate by determining how easily a molecule can move across a membrane. A higher partition coefficient typically means the molecule is more likely to dissolve in the lipid bilayer of the membrane, thus facilitating faster passive diffusion. Conversely, a lower partition coefficient can slow down passive diffusion.
The diffusion coefficient of sodium chloride in water typically ranges from 0.6 to 2.3 x 10^-9 m^2/s at 25°C. This value can vary depending on factors such as temperature and concentration.
The diffusion coefficient is influenced by the size and shape of the solute molecule, as well as its interaction with the solvent molecules. Smaller molecules with weaker interactions tend to have higher diffusion coefficients compared to larger molecules with stronger interactions, which leads to slower diffusion. Additionally, temperature and viscosity of the solvent also affect the diffusion coefficient.
The Winkelmann method is a semi-empirical approach that involves measuring the diffusion coefficients of gases through a stagnant gas in a capillary tube. To determine the diffusion coefficient of acetone using the Winkelmann method, you would measure the rate of diffusion of acetone through a stagnant gas in a capillary tube and apply the relevant equations and corrections to calculate the diffusion coefficient. The diffusion coefficient of acetone can be influenced by factors such as temperature, pressure, and the nature of the stagnant gas.
The apparent diffusion coefficient (ADC) is a quantitative measure that reflects the diffusion of water molecules in tissues, commonly used in diffusion-weighted magnetic resonance imaging (DWI). It provides information about tissue microstructure and cellularity by measuring how freely water molecules move within cells and extracellular space. Changes in ADC values can indicate conditions such as inflammation, ischemia, or tumor growth.
The diffusion coefficient of Fluorescein in water is approximately 4.8 x 10^-6 cm^2/s at 25°C.
Apparent diffusion coefficient (ADC) is a measure of water diffusion in all directions, while mean diffusivity is a measure of the average diffusion within a voxel. ADC includes the effects of both isotropic and anisotropic diffusion, whereas mean diffusivity reflects the overall diffusion within the voxel. In DTI, ADC is calculated as the average of the three eigenvalues, which correspond to the three principal diffusion directions and contribute to mean diffusivity.
It is possible to calculate the diffusion coefficient of a liquid. You would set up a liquid-liquid diffusion coefficient sample. Use the variables W for solvent molecular weight, F for?æsolvent association factor, V for solvent viscosity, M for solvent molal volume, and T for system temperature.The equation you use is D(A,B) = [7.4T (FW) ^0.5]/ [V (M^0.6) * (10^8)].?æ
One common approach is using an implicit method (such as the Crank-Nicolson scheme) for numerical integration, as it is unconditionally stable. Another option is to use the exponential finite difference method, which can handle negative diffusion coefficients while ensuring stability. Additionally, modifying the equation to transform the negative diffusion coefficient into a positive one can also be effective for numerical stability.
Diane Margaret Sampson has written: 'An in situ method to determine the soil gas diffusion coefficient' -- subject(s): Diffusion, Zone of aeration, Soil air, Analysis, Measurement