2016
DOI: 10.1088/0953-8984/28/24/240401
|View full text |Cite
|
Sign up to set email alerts
|

New developments in classical density functional theory

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
82
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 87 publications
(83 citation statements)
references
References 51 publications
1
82
0
Order By: Relevance
“…This is a good approximation, as we find that the difference between isotropic and anisotropic gradients is a small correction for relevant conditions, typically one or two orders smaller in magnitude compared to all other contributions [43]. The adiabatic force field can be expressed as the negative gradient of the local excess (over ideal gas) chemical potential, which within classical density functional theory [7,39] (see appendix B for a brief overview) is given via functional differentiation of the excess Helmholtz free…”
Section: Phase Behaviourmentioning
confidence: 99%
See 1 more Smart Citation
“…This is a good approximation, as we find that the difference between isotropic and anisotropic gradients is a small correction for relevant conditions, typically one or two orders smaller in magnitude compared to all other contributions [43]. The adiabatic force field can be expressed as the negative gradient of the local excess (over ideal gas) chemical potential, which within classical density functional theory [7,39] (see appendix B for a brief overview) is given via functional differentiation of the excess Helmholtz free…”
Section: Phase Behaviourmentioning
confidence: 99%
“…(3). From inserting the Fourier series (26) for ρ into (45) and using (38) and (39) we obtain the swim pressure as…”
Section: F Spherical Superadiabatic Pressurementioning
confidence: 99%
“…Classical density functional theory is a statistical mechanical tool for a description of structure and thermodynamics of molecular inhomogeneous systems [46,49,50]. Within DFT, all the information about the fluid micro-scopic properties is embraced in the intrinsic free energy functional F[ρ(r)] of the fluid one-body density (density profile) ρ(r) and which is typically separated into the ideal gas and excess contributions…”
Section: Model and Density Functional Theorymentioning
confidence: 99%
“…In our model, the particles are subjected to a feedback potential driving them away from their previous positions. Using Brownian dynamics computer simulations and dynamical density functional theory [70][71][72][73][74][75], we show that this repulsive feedback leads to selforganization of the particles into a moving band structure reminiscent of a traveling wave. Remarkably, this ordering takes place despite the absence of any attractive interactions in the system, for which static band formation is known to occur [76,77].…”
Section: Introductionmentioning
confidence: 99%