2000
DOI: 10.1088/0953-8984/12/33/201
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The effect of dipolar forces on the structure and thermodynamics of classical fluids

Abstract: The present understanding of how dipolar forces affect the structure and phase behaviour of classical fluids is reviewed. We focus mainly on the apparent absence of a liquid-vapour phase transition for strongly polar spherical particles, and discuss how the same can be recovered. By concentrating on theoretical and simulation studies of simple models, the roles and interplay of dipolar and Van der Waals interactions and molecular shape can be clearly discerned. Connection is made with experimental work on … Show more

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Cited by 180 publications
(154 citation statements)
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“…9 (a)], which corresponds to an average adsorption rate of Γ * = Nσ 2 / A ≈ 0.04, the particles clearly arrange into large clusters and chains with head-to-tail alignment of the dipole moments. This is the typical behavior expected in strongly coupled dipolar fluids under dilute conditions [43].…”
Section: Monte Carlo Simulation Resultssupporting
confidence: 69%
“…9 (a)], which corresponds to an average adsorption rate of Γ * = Nσ 2 / A ≈ 0.04, the particles clearly arrange into large clusters and chains with head-to-tail alignment of the dipole moments. This is the typical behavior expected in strongly coupled dipolar fluids under dilute conditions [43].…”
Section: Monte Carlo Simulation Resultssupporting
confidence: 69%
“…However, it has long been predicted that with strong dipolar interactions ferrofluid molecules can form chains and rings [62][63][64]. In order to describe such strong correlation effects, which lie beyond the meanfield description, it is necessary to use computationally intensive Monte Carlo and molecular dynamics techniques [65][66][67][68]. These methods suggest a complex and rich phase diagram.…”
Section: Classical Ferrofluids and Strongly Correlated Quantum Ferrofmentioning
confidence: 99%
“…Similar equilibrium clustering has been documented for dipolar fluids in the absence of van der Waals attractions. 34 We calculate the clustering behavior at fixed Tϭ2.0 with variable mp for additional values of by monitoring u pp and c V pp . For each , we define the approximate boundary mp * between clustered and dispersed states by the value of mp where c V pp is maximum.…”
Section: B Effect Of Interactionsmentioning
confidence: 99%