2013
DOI: 10.1063/1.4800109
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Multi-species dynamical density functional theory

Abstract: We study the dynamics of a multi-species colloidal fluid in the full position-momentum phase space. We include both inertia and hydrodynamic interactions, which strongly influence the non-equilibrium properties of the system. Under minimal assumptions, we derive a dynamical density functional theory (DDFT), and, using an efficient numerical scheme based on spectral methods for integro-differential equations, demonstrate its excellent agreement with the full underlying Langevin equations. We utilise the DDFT fo… Show more

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Cited by 30 publications
(56 citation statements)
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“…Further atomistic studies involving multiple phases and more complex flow profiles thus have to be performed in order to probe the relationship between viscosity and density and to inform coarse-grained models for the corresponding systems. 68 which demonstrate the effectiveness of the adopted Langevin thermostat.…”
Section: Discussionmentioning
confidence: 99%
“…Further atomistic studies involving multiple phases and more complex flow profiles thus have to be performed in order to probe the relationship between viscosity and density and to inform coarse-grained models for the corresponding systems. 68 which demonstrate the effectiveness of the adopted Langevin thermostat.…”
Section: Discussionmentioning
confidence: 99%
“…The unstable character of these states can be readily confirmed by going beyond the equilibrium theory and considering the dynamics of the system. 8,35,[49][50][51] We also note the existence of a metastable film adsorbed on the walls of the pore. The interval of ∆µ where we find the film phase is rather narrow and has a width ∆ µ ≈ 7.6 × 10 −3 .…”
Section: B Slit Porementioning
confidence: 99%
“…In particular, we use pseudospectral methods to accurately and efficiently solve the equations either on the full infinite plane or on the full half space, with no truncation or periodisation required. These techniques have been shown to be very successful in a range of DFT [71][72][73][74][75][76] and DDFT 24,25,31 simulations.…”
Section: A Dynamical Density Functional Theorymentioning
confidence: 99%
“…A simpler approach, which has been shown to be accurate in a range of systems 24,25,31 is to make the approximation…”
Section: Dynamical Density Functional Theorymentioning
confidence: 99%