0000000000174351

AUTHOR

Nigel B. Wilding

showing 11 related works from this author

Coexistence Curve Singularities at Critical End Points

1997

We report an extensive Monte Carlo study of critical end point behaviour in a symmetrical binary fluid mixture. On the basis of general scaling arguments, singular behaviour is predicted in the diameter of the liquid-gas coexistence curve as the critical end point is approached. The simulation results show clear evidence for this singularity, as well as confirming a previously predicted singularity in the coexistence chemical potential. Both singularities should be detectable experimentally.

PhysicsBinodalPhase boundaryPhase transitionStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsFOS: Physical sciencesGeneral Physics and AstronomyThermodynamicsSuperfluidityFerromagnetismLiquid crystalCritical point (thermodynamics)Condensed Matter - Statistical MechanicsPhase diagramPhysical Review Letters
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Critical point and coexistence curve properties of the Lennard-Jones fluid: A finite-size scaling study

1995

Monte Carlo simulations within the grand canonical ensemble are used to explore the liquid-vapour coexistence curve and critical point properties of the Lennard-Jones fluid. Attention is focused on the joint distribution of density and energy fluctuations at coexistence. In the vicinity of the critical point, this distribution is analysed using mixed-field finite-size scaling techniques aided by histogram reweighting methods. The analysis yields highly accurate estimates of the critical point parameters, as well as exposing the size and character of corrections to scaling. In the sub-critical coexistence region the density distribution is obtained by combining multicanonical simulations wit…

Chemical Physics (physics.chem-ph)BinodalCondensed Matter (cond-mat)Monte Carlo methodFOS: Physical sciencesCondensed MatterGrand canonical ensembleTricritical pointCritical point (thermodynamics)Joint probability distributionHistogramPhysics - Chemical PhysicsStatistical physicsScalingMathematics
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Monte Carlo investigations of phase transitions: status and perspectives

2000

Using the concept of finite-size scaling, Monte Carlo calculations of various models have become a very useful tool for the study of critical phenomena, with the system linear dimension as a variable. As an example, several recent studies of Ising models are discussed, as well as the extension to models of polymer mixtures and solutions. It is shown that using appropriate cluster algorithms, even the scaling functions describing the crossover from the Ising universality class to the mean-field behavior with increasing interaction range can be described. Additionally, the issue of finite-size scaling in Ising models above the marginal dimension (d*=4) is discussed.

Statistics and ProbabilityPhysicsPhase transitionStatistical Mechanics (cond-mat.stat-mech)Critical phenomenaMonte Carlo methodCrossoverFOS: Physical sciencesRenormalization groupCondensed Matter PhysicsDimension (vector space)Ising modelStatistical physicsScalingCondensed Matter - Statistical MechanicsPhysica A: Statistical Mechanics and its Applications
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Concentration and energy fluctuations in a critical polymer mixture

1995

A semi-grand-canonical Monte Carlo algorithm is employed in conjunction with the bond fluctuation model to investigate the critical properties of an asymmetric binary (AB) polymer mixture. By applying the equal peak-weight criterion to the concentration distribution, the coexistence curve separating the A-rich and B-rich phases is identified as a function of temperature and chemical potential. To locate the critical point of the model, the cumulant intersection method is used. The accuracy of this approach for determining the critical parameters of fluids is assessed. Attention is then focused on the joint distribution function of the critical concentration and energy, which is analysed usi…

BinodalCritical point (thermodynamics)Critical phenomenaCondensed Matter (cond-mat)FOS: Physical sciencesIsing modelCondensed MatterStatistical physicsRenormalization groupCritical dimensionCritical exponentMonte Carlo algorithmMathematics
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Critical end point behaviour in a binary fluid mixture

1997

We consider the liquid-gas phase boundary in a binary fluid mixture near its critical end point. Using general scaling arguments we show that the diameter of the liquid-gas coexistence curve exhibits singular behaviour as the critical end point is approached. This prediction is tested by means of extensive Monte-Carlo simulations of a symmetrical Lennard-Jones binary mixture within the grand canonical ensemble. The simulation results show clear evidence for the proposed singularity, as well as confirming a previously predicted singularity in the coexistence chemical potential [Fisher and Upton, Phys. Rev. Lett. 65, 2402 (1990)]. The results suggest that the observed singularities, particula…

BinodalPhase boundaryBinary fluidGrand canonical ensembleSingularityStatistical Mechanics (cond-mat.stat-mech)Binary numberFOS: Physical sciencesGravitational singularityStatistical physicsScalingCondensed Matter - Statistical MechanicsMathematics
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Polymeric alloys: Model materials for the understanding of the statistical thermodynamics of mixtures

1997

Polymeric materials find industrial applications that are comparable to those of metals and ceramics.1 In addition to the great variability via the synthesis of various monomers and the choice of the degree of polymerization (N), alloying of polymers finds increasing attention for combining favorable materials properties.1,2 But polymeric (binary) alloys (A,B) of flexible polymers with chain lengths NA, NB are also most interesting for testing theoretical concepts: changing NA, NB one controls the entropy of mixing, keeping intermolecular forces invariant. Variation of these control parameters thus allows stringent tests of the theories on miscibility, unmixing etc. Furthermore, the large s…

chemistry.chemical_classificationLength scaleBinodalMaterials sciencechemistrySpinodal decompositionCritical point (thermodynamics)Intermolecular forceThermodynamicsPolymer blendPolymerEntropy of mixing
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Liquid-vapour phase behaviour of a symmetrical binary fluid mixture

1998

Using Monte-Carlo simulation and mean field calculations, we study the liquid-vapour phase diagram of a square well binary fluid mixture as a function of a parameter $\delta$ measuring the relative strength of interactions between particles of dissimilar and similar species. The results reveal a rich variety of liquid-vapour coexistence behaviour as $\delta$ is tuned. Specifically, we uncover critical end point behaviour, a triple point involving a vapour and two liquids of different density, and tricritical behaviour. For a certain range of $\delta$, the mean field calculations also predict a `hidden' (metastable) liquid-vapour binodal.

BinodalPhysicsStatistical Mechanics (cond-mat.stat-mech)Triple pointMonte Carlo methodThermodynamicsFOS: Physical sciencesFunction (mathematics)Condensed Matter::Soft Condensed MatterPhysics::Fluid DynamicsTricritical pointMetastabilityPhase (matter)Condensed Matter - Statistical MechanicsPhase diagram
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Tricritical universality in a two-dimensional spin fluid

1995

Monte Carlo simulations are used to investigate the tricritical point properties of a 2d spin fluid. Measurements of the scaling operator distributions are employed in conjunction with a finite-size scaling analysis to locate the tricritical point and determine the directions of the relevant scaling fields and their associated tricritical exponents. The scaling operator distributions and exponents are shown to match quantitatively those of the 2d Blume-Capel model, confirming that both models belong to the same universality class. Mean-field calculations of the tricritical point properties are also compared with the simulation measurements.

PhysicsTricritical pointMonte Carlo methodCondensed Matter (cond-mat)Condensed Matter::Statistical MechanicsFOS: Physical sciencesCondensed MatterStatistical physicsRenormalization groupWidom scalingScalingCondensed Matter::Disordered Systems and Neural NetworksUniversality (dynamical systems)
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Transitions between imperfectly ordered crystalline structures: A phase switch Monte Carlo study

2012

A model for two-dimensional colloids confined laterally by ``structured boundaries'' (i.e., ones that impose a periodicity along the slit) is studied by Monte Carlo simulations. When the distance $D$ between the confining walls is reduced at constant particle number from an initial value ${D}_{0}$, for which a crystalline structure commensurate with the imposed periodicity fits, to smaller values, a succession of phase transitions to imperfectly ordered structures occur. These structures have a reduced number of rows parallel to the boundaries (from $n$ to $n\ensuremath{-}1$ to $n\ensuremath{-}2$, etc.) and are accompanied by an almost periodic strain pattern, due to ``soliton staircases'' …

Statistical ensemblePhase transitionMathematical optimizationStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodPhase (waves)Thermodynamic integrationFOS: Physical sciencesStatistical mechanicsOrders of magnitude (time)Statistical physicsEnergy (signal processing)Condensed Matter - Statistical MechanicsMathematics
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Errors in Monte Carlo simulations using shift register random number generators

1996

We report large systematic errors in Monte Carlo simulations of the tricritical Blume-Capel model using single spin Metropolis updating. The error, manifest as a $20\%$ asymmetry in the magnetisation distribution, is traced to the interplay between strong triplet correlations in the shift register random number generator and the large tricritical clusters. The effect of these correlations is visible only when the system volume is a multiple of the random number generator lag parameter. No such effects are observed in related models.

Systematic errorPhysicsRandom number generationmedia_common.quotation_subjectLagMonte Carlo methodCondensed Matter (cond-mat)General Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsCondensed MatterAsymmetryComputer Science ApplicationsDistribution (mathematics)Computational Theory and MathematicsCondensed Matter::Statistical MechanicsStatistical physicsMathematical Physicsmedia_commonSpin-½Shift register
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Simulation studies of fluid critical behaviour

1997

We review and discuss recent advances in the simulation of bulk critical phenomena in model fluids. In particular we emphasise the extensions to finite-size scaling theory needed to cope with the lack of symmetry between coexisting fluid phases. The consequences of this asymmetry for simulation measurements of quantities such as the particle density and the heat capacity are pointed out and the relationship to experiment is discussed. A general simulation strategy based on the finite-size scaling theory is described and its utility illustrated via Monte-Carlo studies of the Lennard-Jones fluid and a two-dimensional spin fluid model. Recent applications to critical polymer blends and solutio…

Work (thermodynamics)Statistical Mechanics (cond-mat.stat-mech)Field (physics)Computer sciencemedia_common.quotation_subjectCritical phenomenaFOS: Physical sciencesCondensed Matter PhysicsScaling theoryHeat capacityAsymmetrySymmetry (physics)General Materials ScienceStatistical physicsCondensed Matter - Statistical MechanicsSpin-½media_commonJournal of Physics: Condensed Matter
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