Search results for "Monte carlo method"

showing 10 items of 1234 documents

Toward a Quality Guide to Facilitate the Transference of Analytical Methods from Research to Testing Laboratories: A Case Study

2009

Abstract At present, there is no single viewpoint that defines QA strategies in analytical chemistry. On the other hand, there are no unique protocols defining a set of analytical tasks and decision criteria to be performed during the method development phase (e.g., by a single research laboratory) in order to facilitate the transference to the testing laboratories intending to adapt, validate, and routinely use this method. This study proposes general criteria, a priori valid for any developed method, recommended as a provisional quality guide containing the minimum internal tasks necessary to publish new analytical method results. As an application, the selection of some basic internal qu…

Quality ControlComputer sciencemedia_common.quotation_subjectChemistry Techniques AnalyticalAnalytical ChemistrySet (abstract data type)Environmental ChemistryComputer SimulationQuality (business)Differential (infinitesimal)Publicationmedia_commonPharmacologyNitratesbusiness.industryReproducibility of ResultsReference StandardsMultiple-criteria decision analysisMethod developmentInternal qualitySystems engineeringA priori and a posterioriIndicators and ReagentsLaboratoriesbusinessMonte Carlo MethodAgronomy and Crop SciencePolarographyFood ScienceJournal of AOAC INTERNATIONAL
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A nanodosimetric model of radiation-induced clustered DNA damage yields

2010

International audience; We present a nanodosimetric model for predicting the yield of double strand breaks (DSBs) and non-DSB clustered damages induced in irradiated DNA. The model uses experimental ionization cluster size distributions measured in a gas model by an ion counting nanodosimeter or, alternatively, distributions simulated by a Monte Carlo track structure code developed to simulate the nanodosimeter. The model is based on a straightforward combinatorial approach translating ionizations, as measured or simulated in a sensitive gas volume, to lesions in a DNA segment of one-two helical turns considered equivalent to the sensitive volume of the nanodosimeter. The two model paramete…

Quantitative Biology::BiomoleculesAlgorithms Computer Simulation DNA/*radiation effects DNA Breaks[PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph][ PHYS.PHYS.PHYS-MED-PH ] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph]Genetic Monte Carlo Method Nanotechnology/instrumentation/*methods Plasmids/radiation effects Probability Protons/adverse effects Radiometry/instrumentation/*methods Reproducibility of Results Saccharomyces cerevisiae SoftwareDouble-Stranded/radiation effects DNA Damage/*radiation effects Helium/adverse effects *Models
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How Well Can Coarse-Grained Models of Real Polymers Describe Their Structure? The Case of Polybutadiene

2015

Coarse-graining of chemical structure of macromolecules in the melt is investigated using extensive molecular dynamics simulation data which are based on a united atom force-field model of polybutadiene. Systematically increasing the number, n, of the united atoms approximated by an effective coarse-grained monomer, we study the influence of degree of coarse-graining on the structure functions such as the segment-segment intermolecular and intramolecular correlation functions. These results are compared to Monte Carlo simulations of the corresponding coarse-grained bead-spring model and Chen-Kreglewski potential for chain molecules. In contrast to the atomistic chemically realistic model of…

Quantitative Biology::BiomoleculesChemistryMonte Carlo methodIntermolecular forceNanotechnologyComputer Science ApplicationsCondensed Matter::Soft Condensed MatterMolecular dynamicsPolybutadieneChemical physicsIntramolecular forceAtomMoleculePhysical and Theoretical ChemistryMacromoleculeJournal of Chemical Theory and Computation
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A New Monte Carlo Method for the Titration of Molecules and Minerals

2007

The charge state of molecules and solid/liquid interfaces is of paramount importance in the understanding of the reactivity and the physico-chemical properties of many systems. In this work, we porpose a new Monte Carlo method in the grand canonical ensemble using the primitive model, which allows us to simulate the titration behavior of macromolecules or solids at constant pH. The method is applied to the charging process of colloidal silica particles dispersed in a sodium salt solution for various concentrations and calcium silicate hydrate nano-particles in a calcium hydroxide solution. An excellent agreement is found between the experimental and simulated results.

Quantitative Biology::BiomoleculesComputer scienceColloidal silicaeducationMonte Carlo methodCharge densityThermodynamics02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesCondensed Matter::Soft Condensed Matterchemistry.chemical_compoundGrand canonical ensemblechemistryMoleculeTitrationPhysics::Chemical PhysicsCalcium silicate hydrate0210 nano-technology
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Stability of thin polymer films: influence of solvents.

2004

The interface and surface properties and the wetting behavior of polymer-solvent mixtures are investigated using Monte Carlo simulations and self-consistent field calculations. We carry out Monte Carlo simulations in the framework of a coarse-grained bead-spring model using short chains (oligomers) of N(P)=5 beads and a monomeric solvent, N(S)=1. The self-consistent field calculations are based on a simple phenomenological equation of state for compressible binary mixtures and we employ Gaussian chain model. The bulk behavior of the polymer-solvent mixture belongs to type III in the classification of van Konynenburg and Scott [Phil. Trans. R. Soc. London, Ser. A 298, 495 (1980)]. It is char…

Quantitative Biology::BiomoleculesEquation of stateField (physics)ChemistryVapor pressureMonte Carlo methodGeneral Physics and AstronomyThermodynamicsCondensed Matter::Soft Condensed MatterContact angleSurface tensionComputational chemistryWettingPhysical and Theoretical ChemistrySolvent effectsThe Journal of chemical physics
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Monte Carlo simulation of a lattice model for ternary polymer mixtures

1988

Monte Carlo studies of symmetrical polymer mixturesAB, modelled by selfavoiding walks withNA=NB=N steps on a simple cubic lattice, are presented for arbitrary concentrations of vacanciesφv in the range fromφv=0.2 toφv=0.8 and chain lengthsN≤64. We obtained the phase diagrams and the equation of state for three choices of the ratio ∈ / ∈AB (∈ being the energy between monomers of the same kind, ∈AB being the energy between different monomers). Flory-Huggins theory provides only a qualitative understanding of these results. If the equation of state is “fitted” with an effective Flory-Huggins parameterχeff, the latter turns out to be strongly dependent on both concentration and temperature.

Quantitative Biology::BiomoleculesEquation of statePolymers and PlasticsChemistryMonte Carlo methodThermodynamicsFlory–Huggins solution theoryCondensed Matter::Soft Condensed MatterColloid and Surface ChemistryMaterials ChemistryStatistical physicsPhysical and Theoretical ChemistryStructure factorTernary operationSelf-avoiding walkLattice model (physics)Phase diagramColloid & Polymer Science
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Towards the Quantitative Prediction of the Phase Behavior of Polymer Solutions by Computer Simulation

2009

The phase diagram of polymer solutions (cf. e.g. alkanes dissolved in supercritical carbon dioxide) is complicated, since there are four control parameters (temperature, pressure, monomer volume fraction, chain length of the polymer) and due to the interplay of liquid-vapor transitions and fluid-fluid unmixing. As a result I very intricate phase diagram topologies can result. An attempt to develop coarse-1 grained models that can deal with this task will be described. As usual, the polymers I will be modelled as off-lattice bead-spring chains, where several chemical monomers I are integrated into one effective bond, torsional degrees of freedom being dis-I regarded. But also a coarse-graine…

Quantitative Biology::BiomoleculesEquation of statePolymers and PlasticsChemistryPoint particleOrganic ChemistryMonte Carlo methodDegrees of freedom (physics and chemistry)Ab initioCondensed Matter PhysicsCondensed Matter::Soft Condensed MatterPhase (matter)Materials ChemistryStatistical physicsPhysics::Chemical PhysicsPerturbation theoryPhase diagramMacromolecular Symposia
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Structure and dynamics of polymer brushes near the Θ point: A Monte Carlo simulation

1992

Grafted polymer layers under variable solvent conditions are studied by Monte Carlo simulations using the bond fluctuation model. Structural information such as monomer density profiles, brush thickness, mean‐square displacement of monomers, and positions of the monomers along the chain are obtained for temperatures above, at, and below the Θ point. In particular, the scaling of the brush thickness is formulated and verified by the simulation data. At the Θ point, more extensive simulations are performed to investigate the structural and dynamical properties. While the brush thickness at the Θ point agrees very well with the scaling and self‐consistent field predictions, the latter deviate …

Quantitative Biology::BiomoleculesField (physics)ChemistryRelaxation (NMR)Monte Carlo methodGeneral Physics and AstronomyPolymer brushMolecular physicsDisplacement (vector)Condensed Matter::Soft Condensed MatterDistribution functionExponentStatistical physicsPhysical and Theoretical ChemistryScalingThe Journal of Chemical Physics
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Conformational Changes of a Single Semiflexible Macromolecule Near an Adsorbing Surface: A Monte Carlo Simulation

2009

The properties of a single semiflexible chain tethered to a planar surface with a long-ranged attractive potential are studied by means of Monte Carlo simulations. We employ the bond fluctuation lattice model and the Wang-Landau sampling technique. We present the diagram of states for semiflexible chains consisting of N = 64 and 128 monomer units as a function of temperature T and strength of the adsorption potential, epsilon(w), and also compare this with the diagram of states for flexible chains of these two lengths. The diagram of states consists of the regions of a coil, liquid globule, solid isotropic globule, adsorbed coil, and quasi-two-dimensional solid globule with nematic bond ord…

Quantitative Biology::BiomoleculesLattice model (finance)Condensed matter physicsMacromolecular SubstancesSurface PropertiesChemistryIsotropyMonte Carlo methodDiagramMolecular ConformationTemperatureBond orderSurfaces Coatings and FilmsCondensed Matter::Soft Condensed MatterCrystalModels ChemicalLiquid crystalChemical physicsPhase (matter)Materials ChemistryComputer SimulationAdsorptionPhysical and Theoretical ChemistryMonte Carlo MethodThe Journal of Physical Chemistry B
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Polymer brushes on flat and curved surfaces: How computer simulations can help to test theories and to interpret experiments

2012

Theoretical descriptions of static properties of polymer brushes are reviewed, with an emphasis on monodisperse macromolecules grafted to planar, cylindrical, or spherical substrates. Blob concepts and resulting scaling relations are outlined, and various versions of the self-consistent field theory are summarized: the classical approximation and the strong stretching limit, as well as the lattice formulation. The physical justification of various inherent assumptions is discussed, and computer simulation results addressing the test of the validity of these approximations are reviewed. Also, alternative theories, such as the single chain mean field theory and the density functional theory, …

Quantitative Biology::BiomoleculesMaterials sciencePolymers and PlasticsContinuum (measurement)Monte Carlo methodCondensed Matter PhysicsCondensed Matter::Soft Condensed MatterMolecular dynamicsPlanarMean field theoryLattice (order)Materials ChemistryDensity functional theoryStatistical physicsPhysical and Theoretical ChemistryScalingJournal of Polymer Science Part B: Polymer Physics
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