2004
DOI: 10.1016/s0378-4371(04)00865-9
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Optimal number of disperse states in the model of Brownian motors

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Cited by 3 publications
(4 citation statements)
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“…4 together with numerical Pe curves for different a. In contrast to earlier work, 24,25 good Pe numbers are found, i.e., Pe > 2 for which drift wins over diffusion. Similar numbers have been calculated for tilted periodic potentials.…”
Section: -2contrasting
confidence: 73%
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“…4 together with numerical Pe curves for different a. In contrast to earlier work, 24,25 good Pe numbers are found, i.e., Pe > 2 for which drift wins over diffusion. Similar numbers have been calculated for tilted periodic potentials.…”
Section: -2contrasting
confidence: 73%
“…28 We develop a master equation model with which the average movement and effective diffusion constant can easily be calculated numerically for on/off ratchets of arbitrary shape. In contrast with previous works, 24,25 each ratchet unit is represented by only one discrete site, resulting in a very simple model in which the transition rates are no longer explicitly dependent on the magnitude of the forces in the ratchet unit. We compare the results with measurements of the effective diffusion of suspended polystyrene particles.…”
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confidence: 97%
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“…7,8 The diffusion coefficient can be increased considerably by tuning the strength of a constant external force, [3][4][5] the frequency of an unbiased ac force, 6 or the rate of potential switching. 7,8 In the case of a particle in a one-dimensional periodic potential in the presence of a constant external force F (a particle in a tilted periodic potential), the diffusion coefficient as a * E-mail: sasaki@camp.apph.tohoku.ac.jp function of F exhibits a peak at a value close to the maximum slope F c of the potential; [3][4][5] note that in the absence of thermal noise, the particle remains stationary at a force-balanced location for F < F c while it continues to run in one direction ("running state") for F > F c . The reason for this diffusion enhancement is that the behavior of the particle, whether to remain in a potential well or to move to the adjacent well, is quite sensitive to thermal noise for F close to F c , which results in a large dispersion of the particle displacement and hence a large diffusion coefficient.…”
Section: Introductionmentioning
confidence: 99%