2001
DOI: 10.1103/physreve.64.066114
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Self-consistent generalized Langevin equation for colloid dynamics

Abstract: We present a general self-consistent theory of colloid dynamics which, for a system without hydrodynamic interactions, allows us to calculate F(k,t), and its self-diffusion counterpart F(S)(k,t), given the effective interaction pair potential u(r) between colloidal particles, and the corresponding equilibrium static structural properties. This theory is build upon the exact results for F(k,t) and F(S)(k,t) in terms of a hierarchy of memory functions, derived from the application of the generalized Langevin equ… Show more

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Cited by 54 publications
(50 citation statements)
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“…It will be interesting to calculate the kinetic phase diagrams in future works using existing theories. [69][70][71][72][73] …”
Section: E Comparison With the Experimental Resultsmentioning
confidence: 99%
“…It will be interesting to calculate the kinetic phase diagrams in future works using existing theories. [69][70][71][72][73] …”
Section: E Comparison With the Experimental Resultsmentioning
confidence: 99%
“…This formalism was employed in the construction of the self-consistent generalized Langevin equation (SCGLE) theory of colloid dynamics [19][20][21], eventually applied to the description of dynamic arrest phenomena [22][23][24], and more recently, to the construction of a firstprinciples theory of equilibration and aging of colloidal glassforming liquids [25,26]. When applied to model systems with soft repulsive interactions [27], the SCGLE theory of colloid dynamics, together with the condition of static structural equivalence between soft-and hard-sphere systems, predicts the existence of a hard-sphere dynamic universality class, constituted by the soft-sphere systems whose dynamic parameters, such as the α-relaxation time and self-diffusion coefficient, depend on density, temperature, and softness in a universal scaling fashion [28], through an effective hard-sphere diameter determined by the Andersen-Weeks-Chandler [29,30] criterion.…”
Section: Introductionmentioning
confidence: 99%
“…Computational models of diffusion have been widely studied using both discrete 1,2,3,4,5 and continuum methods 6,7,8,9,10,11 . The discrete methods concentrate on the stochastic processes based on individual particles, which include Monte Carlo 12,13,14,5 , Brownian dynamics (BD) 15,16,17 and Langevin dynamics 18,19 simulations. Continuum modeling describes the diffusional processes via concentration distribution probability in lieu of stochastic dynamics of individual particles.…”
Section: Introductionmentioning
confidence: 99%