2022
DOI: 10.3390/e25010042
|View full text |Cite
|
Sign up to set email alerts
|

Diffusion Coefficient of a Brownian Particle in Equilibrium and Nonequilibrium: Einstein Model and Beyond

Abstract: The diffusion of small particles is omnipresent in many processes occurring in nature. As such, it is widely studied and exerted in almost all branches of sciences. It constitutes such a broad and often rather complex subject of exploration that we opt here to narrow our survey to the case of the diffusion coefficient for a Brownian particle that can be modeled in the framework of Langevin dynamics. Our main focus centers on the temperature dependence of the diffusion coefficient for several fundamental models… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
13
0
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 29 publications
(14 citation statements)
references
References 145 publications
0
13
0
1
Order By: Relevance
“…An effective diffusion coefficient ( D eff ) can be extracted using the penetration depth versus time of the particles by fitting with normalΔ x = 2 D normale normalf normalf · t . The values of the fitted parameters are given in Table , and fitting details are given in Supporting Information S5.…”
Section: Resultsmentioning
confidence: 99%
“…An effective diffusion coefficient ( D eff ) can be extracted using the penetration depth versus time of the particles by fitting with normalΔ x = 2 D normale normalf normalf · t . The values of the fitted parameters are given in Table , and fitting details are given in Supporting Information S5.…”
Section: Resultsmentioning
confidence: 99%
“…However, it is not straightforward to a priori identify the physical origin of such a nonlinear connection between quantities that refer to essentially dynamic and equilibrium processes, i.e., diffusion ( D X,p ) and chemical partitioning equilibria of components at an interface ( K w,p ), respectively. As a hint to the underlying connections, we mention that complex nonlinear expressions combining dynamic and equilibrium quantities can be found in the literature on advanced physical modeling. , For example, Lifson and Jackson established an expression for the diffusion coefficient of an inertial particle in a fixed static energy field; we recall that the Gibbs free energy of contaminant adsorption on a surface can be estimated in our case from the relevant thermodynamic constant, K w,p .…”
Section: Resultsmentioning
confidence: 99%
“…Mechanism of this type are well-known in diffusion theory. Spiechowicz et al 25 describe a "nonequilibrium situation in which the diffusion of a periodically driven Brownian particle moving in a periodic potential decreases with increasing temperature within a finite temperature window" and "identify (it) as the cause for this nonintuitive behavior a dominant deterministic mechanism consisting of a few unstable periodic orbits embedded into a chaotic attractor together with thermal noise-induced dynamical changes upon varying temperature".…”
Section: Discussionmentioning
confidence: 99%