Search results for "Monte Carlo method."

showing 10 items of 1217 documents

Atomistic theory of mesoscopic pattern formation induced by bimolecular surface reactions between oppositely charged molecules

2011

The kinetics of mesoscopic pattern formation is studied for a reversible A+B⇌0 reaction between mobile oppositely charged molecules at the interface. Using formalism of the joint correlation functions, non-equilibrium charge screening and reverse Monte Carlo methods, it is shown that labyrinth-like percolation structure induced by (even moderate-rate) reaction is principally non-steady-state one and is associated with permanently growing segregation of dissimilar reactants and aggregation of similar reactants into mesoscopic size domains. A role of short-range and long-range reactant interactions in pattern formation is discussed.

Mesoscopic physicsLennard-Jones potentialComputational chemistryChemistryChemical physicsMonte Carlo methodKineticsGeneral Physics and AstronomyMoleculePattern formationReverse Monte CarloPhysical and Theoretical ChemistryChain reactionThe Journal of Chemical Physics
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Simulation of Order-Disorder Phenomena and Diffusion in Metallic Alloys

1991

The application of the Monte Carlo method to lattice-statistics problems in metallurgy is reviewed. Examples are given for the prediction of phase diagrams from simple model assumptions for effective interatomic potentials and for the calculation of parameters describing long- and short-range order, ordering energy, etc., both for face-centered cubic (fcc) and body-centered cubic (bcc) lattices. Applications to real systems such as Cu—Au and Fe—Al alloys are discussed.

Metallic alloyCondensed Matter::Materials ScienceMaterials scienceReal systemsSimple (abstract algebra)Spinodal decompositionMonte Carlo methodOrder (ring theory)Statistical physicsDiffusion (business)Phase diagram
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Monte Carlo calculation of free energy for a fcc lattice-gas model

1990

A face-centered-cubic Ising lattice-gas model with nearest- and next-nearest-neighbor interactions is studied, and an accurate determination of the transition temperature for the discontinuous order-disorder transition is obtained. This model is of interest in the studies of phase diagrams for metallic alloys. The location of the transition was previously not known accurately, and its estimation has a number of applications. Very accurate absolute free-energy densities for the two coexisting phases have been obtained from a combination of the standard thermodynamic integration method and the method of sampling finite-size dependence. The latent-heat also is calculated with good precision.

Metallic alloyMaterials scienceLattice (order)Latent heatTransition temperatureMonte Carlo methodThermodynamic integrationIsing modelStatistical physicsPhase diagramPhysical Review B
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Influence of a continuous quenching procedure on the initial stages of spinodal decomposition

1986

Instead of the standard assumption in the theory of phase separation where an instantaneous quench from an initial equilibrium state to the final state in the two-phase region is assumed, we consider the more realistic situation that the change of the external control parameter (e.g. temperature) can only be performed with finite rates. During the initial stages of spinodal decomposition the system then has some “memory” of the states intermediate between the initial and the final one. This influence of the finite quench rate in continuous quenching procedures is studied within the linearized theory of spinodal decomposition, with the Langer-Baron-Miller decoupling, and with Monte Carlo sim…

Metallic alloyQuenchingSpinodalMaterials scienceSpinodal decompositionThermodynamic equilibriumMonte Carlo methodThermodynamicsGeneral Materials ScienceState (functional analysis)Decoupling (cosmology)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsZeitschrift f�r Physik B Condensed Matter
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Monte Carlo Tests of Nucleation Concepts in the Lattice Gas Model

2013

The conventional theory of homogeneous and heterogeneous nucleation in a supersaturated vapor is tested by Monte Carlo simulations of the lattice gas (Ising) model with nearest-neighbor attractive interactions on the simple cubic lattice. The theory considers the nucleation process as a slow (quasi-static) cluster (droplet) growth over a free energy barrier $\Delta F^*$, constructed in terms of a balance of surface and bulk term of a "critical droplet" of radius $R^*$, implying that the rates of droplet growth and shrinking essentially balance each other for droplet radius $R=R^*$. For heterogeneous nucleation at surfaces, the barrier is reduced by a factor depending on the contact angle. U…

Models MolecularCanonical ensembleModels StatisticalMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodNucleationThermodynamicsFOS: Physical sciencesCondensed Matter - Soft Condensed MatterModels ChemicalLattice (order)Cluster (physics)Soft Condensed Matter (cond-mat.soft)Computer SimulationIsing modelGasesStatistical physicsLever ruleCrystallizationMonte Carlo MethodAlgorithmsCondensed Matter - Statistical MechanicsQuasistatic process
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Characterizing cavities in model inclusion molecules: a comparative study

1998

We have selected fullerene-60 and -70 cavities as model systems in order to test several methods for characterizing inclusion molecules. The methods are based on different technical foundations such as a square and triangular tessellation of the molecule taken as a unitary sphere, spherical tessellation of the molecular surface, numerical integration of the atomic volumes and surfaces, triangular tessellation of the molecular surface, and a cubic lattice approach to a molecular space. Accurate measures of the molecular volume and surface area have been performed with the pseudo-random Monte Carlo (MCVS) and uniform Monte Carlo (UMCVS) methods. These calculations serve as a reference for the…

Models MolecularFullereneMaterials scienceMonte Carlo methodComputer Graphics and Computer-Aided DesignFractal dimensionCarbonTriangular tilingStandard deviationComputational physicsNumerical integrationComputational chemistryLattice (order)Materials ChemistryMoleculeComputer SimulationFullerenesPhysical and Theoretical ChemistryMonte Carlo MethodAlgorithmsSoftwareSpectroscopyJournal of Molecular Graphics and Modelling
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Molecular Rearrangement of an Aza-Scorpiand Macrocycle Induced by pH: A Computational Study †

2016

Rearrangements and their control are a hot topic in supramolecular chemistry due to the possibilities that these phenomena open in the design of synthetic receptors and molecular machines. Macrocycle aza-scorpiands constitute an interesting system that can reorganize their spatial structure depending on pH variations or the presence of metal cations. In this study, the relative stabilities of these conformations were predicted computationally by semi-empirical and density functional theory approximations, and the reorganization from closed to open conformations was simulated by using the Monte Carlo multiple minimum method Financial support by the Spanish Ministerio de Economía y Competitiv…

Models MolecularMontecarlo Mètode deMonte Carlo method01 natural sciencessupramolecular chemistryMonte Carlo Multiple Minimumlcsh:ChemistryComputational chemistryaza-scorpiandsMolecular rearrangementpH controlled; supramolecular chemistry; synthetic receptors; aza-scorpiands; semi-empirical; Density Functional Theory; Monte Carlo Multiple Minimumlcsh:QH301-705.5semi-empiricalSpectroscopyDensity Functional TheoryDensity functionalsSpatial structureChemistryGeneral MedicineHydrogen-Ion ConcentrationMolecular machineComputer Science ApplicationsMonte Carlo methodpH controlledvisual_artsynthetic receptorsvisual_art.visual_art_mediumDensity functional theoryMonte Carlo MethodMacrocyclic CompoundsSupramolecular chemistry010402 general chemistryQuímica supramolecularCatalysisArticleInorganic ChemistryMetalQuantitative Biology::Subcellular ProcessesPhysical and Theoretical ChemistryMolecular BiologyAza CompoundsFuncional de densitat Teoria del010405 organic chemistryOrganic ChemistryComputational Biology0104 chemical scienceslcsh:Biology (General)lcsh:QD1-999Synthetic ReceptorsQuantum TheorySupramolecular chemistryInternational Journal of Molecular Sciences
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Dynamics of surface of lipid membranes: theoretical considerations and the ESR experiment.

2016

The effect of the surface layer of model membranes on their physical properties was discussed in this paper. The research involved a physical ESR experiment with the use of spin probes and computer simulation based on the Monte Carlo technique. Liposomes formed during the process of sonication of lecithin were scanned in an ESR spectrometer. The membrane surface layer model, represented by the system of electric dipoles arranged in rectangular or hexagonal matrices, was studied. The final states of computer simulations were presented as textures. It was found that in the gel phase some ordered domain structures are formed, while in the liquid–crystal phase we got complex textures comprising…

Models MolecularPhase transition12-DipalmitoylphosphatidylcholineSurface PropertiesMonte Carlo methodBiophysicsAnalytical chemistryMolecular Conformation02 engineering and technologyPhase Transition03 medical and health sciencesSonication0302 clinical medicinePhase (matter)Lipid membraneSurface layerMembrane fluidityLipid bilayerMonte Carlo simulationChemistryCell MembraneElectron Spin Resonance SpectroscopyTemperatureGeneral MedicineHydrogen-Ion ConcentrationESR probe021001 nanoscience & nanotechnologyElectric dipole momentDipoleKineticsMembraneChemical physics030220 oncology & carcinogenesisLiposomesOriginal Article0210 nano-technologyMonte Carlo MethodEuropean biophysics journal : EBJ
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Effects of confinement and external fields on structure and transport in colloidal dispersions in reduced dimensionality

2012

In this work, we focus on low-dimensional colloidal model systems, via simulation studies and also some complementary experiments, in order to elucidate the interplay between phase behavior, geometric structures and transport properties. In particular, we try to investigate the (nonlinear!) response of these very soft colloidal systems to various perturbations: uniform and uniaxial pressure, laser fields, shear due to moving boundaries and randomly quenched disorder.We study ordering phenomena on surfaces or in monolayers by Monte Carlo computer simulations of binary hard-disk mixtures, the influence of a substrate being modeled by an external potential. Weak external fields allow a control…

Models MolecularPhase transitionCondensed matter physicsChemistryMicrofluidicsMonte Carlo methodHard spherespacs:82.70.Dd; 05.40.Jc; 01.20.JaComputer simulation of liquid structureCondensed Matter PhysicsPhase TransitionLattice constantComplementary experimentsddc:540Brownian dynamicsCoulombGeneral Materials Scienceddc:530ColloidsBrownian motionMonte Carlo MethodBrownian motionMechanical Phenomena
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Protein search for multiple targets on DNA

2016

Protein-DNA interactions are crucial for all biological processes. One of the most important fundamental aspects of these interactions is the process of protein searching and recognizing specific binding sites on DNA. A large number of experimental and theoretical investigations have been devoted to uncovering the molecular description of these phenomena, but many aspects of the mechanisms of protein search for the targets on DNA remain not well understood. One of the most intriguing problems is the role of multiple targets in protein search dynamics. Using a recently developed theoretical framework we analyze this question in detail. Our method is based on a discrete-state stochastic appro…

Models MolecularQuantitative Biology - Subcellular ProcessesComputer scienceProcess (engineering)Monte Carlo methodBiophysicsGeneral Physics and Astronomy03 medical and health scienceschemistry.chemical_compound0302 clinical medicinePosition (vector)Computer SimulationStatistical physicsPhysical and Theoretical ChemistrySubcellular Processes (q-bio.SC)030304 developmental biologyStochastic Processes0303 health sciencesBinding SitesModels GeneticProtein moleculesProteinsDNAchemistryFOS: Biological sciencesMonte Carlo Method030217 neurology & neurosurgeryDNAProtein BindingThe Journal of Chemical Physics
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