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In statistical mechanics, the mean squared displacement (MSD, also mean square displacement, average squared displacement, or mean square fluctuation) is a measure of the deviation of the position of a particle with respect to a reference position over time.
For the mean square displacement along unit vector ^, simply take ^ ^. Related schemes use the parameters or B rather than (see to Trueblood et al. [6] for a more complete discussion). Finally, we can find the relationship between the Debye–Waller factor and the anisotropic displacement parameter.
From the above power series expansion of follows that the mean square displacement at high temperatures is linear in temperature =. The absence of ℏ {\displaystyle \hbar } indicates that this is a classical result.
Simulated squared displacements of free Brownian particles (semi-transparent wiggly lines) as a function of time, for three selected choices of initial squared velocity which are 0, 3k B T/m, and 6k B T/m respectively, with 3k B T/m being the equipartition value in thermal equilibrium. The colored solid curves denote the mean squared ...
The particle's Mean squared displacement from its original position is: =, where is the dimension of the particle's Brownian motion. For example, the diffusion of a molecule across a cell membrane 8 nm thick is 1-D diffusion because of the spherical symmetry; However, the diffusion of a molecule from the membrane to the center of a eukaryotic ...
Mean absolute difference; Mean absolute error; Mean absolute percentage error; Mean absolute scaled error; Mean square quantization error; Mean squared displacement; Mean squared error; Mean squared prediction error; Medcouple; Median absolute deviation; Minimum mean square error; MINQUE
By measuring the mean squared displacement over a time interval along with the universal gas constant R, the temperature T, the viscosity η, and the particle radius r, the Avogadro constant N A can be determined. The type of dynamical equilibrium proposed by Einstein was not new.
In fluid dynamics, normalized root mean square deviation (NRMSD), coefficient of variation (CV), and percent RMS are used to quantify the uniformity of flow behavior such as velocity profile, temperature distribution, or gas species concentration. The value is compared to industry standards to optimize the design of flow and thermal equipment ...