Search results for "Statistical"

showing 10 items of 4960 documents

PHASE TRANSITIONS AT INTERFACES

1989

The interface between two phases may exhibit significant structural changes if one of them comes close to a phase transition in its bulk. Surface critical phenomena, critical adsorption, and wetting phenomena, like e.g. surface melting or surface induced disorder, can occur. The grazing incidence of X rays and neutrons is particularly well suited in order to obtain precise informations about these kind of critical phenomena which link the space dimensions two and three.

Surface (mathematics)Phase transitionAdsorptionMaterials scienceCondensed matter physicsCritical phenomenaGeneral EngineeringNeutronWettingStatistical physicsSpace (mathematics)Incidence (geometry)Le Journal de Physique Colloques
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Does Young's equation hold on the nanoscale? A Monte Carlo test for the binary Lennard-Jones fluid

2010

When a phase-separated binary ($A+B$) mixture is exposed to a wall, that preferentially attracts one of the components, interfaces between A-rich and B-rich domains in general meet the wall making a contact angle $\theta$. Young's equation describes this angle in terms of a balance between the $A-B$ interfacial tension $\gamma_{AB}$ and the surface tensions $\gamma_{wA}$, $\gamma_{wB}$ between, respectively, the $A$- and $B$-rich phases and the wall, $\gamma _{AB} \cos \theta =\gamma_{wA}-\gamma_{wB}$. By Monte Carlo simulations of bridges, formed by one of the components in a binary Lennard-Jones liquid, connecting the two walls of a nanoscopic slit pore, $\theta$ is estimated from the inc…

Surface (mathematics)PhysicsCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodGeneral Physics and AstronomyThermodynamic integrationFOS: Physical sciencesComputational Physics (physics.comp-ph)Contact angleSurface tensionPhysics::Fluid DynamicsDistribution functionWetting transitionPhysics - Computational PhysicsScalingCondensed Matter - Statistical Mechanics
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Reconstructing wells from high density regions extracted from super-resolution single particle trajectories

2019

AbstractLarge amount of super-resolution single particle trajectories has revealed that the cellular environment is enriched in heterogenous regions of high density, which remain unexplained. The biophysical properties of these regions are characterized by a drift and their extension (a basin of attraction) that can be estimated from an ensemble of trajectories. We develop here two statistical methods to recover the dynamics and local potential wells (field of force and boundary) using as a model a truncated Ornstein-Ulhenbeck process. The first method uses the empirical distribution of points, which differs inside and outside the potential well, while the second focuses on recovering the d…

Surface (mathematics)PhysicsField (physics)Boundary (topology)High densityParticleLocal field potentialStatistical physicsEmpirical distribution functionEnergy (signal processing)
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Bridging scales with thermodynamics: from nano to macro

2014

We have recently developed a method to calculate thermodynamic properties of macroscopic systems by extrapolating properties of systems of molecular dimensions. Appropriate scaling laws for small systems were derived using the method for small systems thermodynamics of Hill, considering surface and nook energies in small systems of varying sizes. Given certain conditions, Hill's method provides the same systematic basis for small systems as conventional thermodynamics does for large systems. We show how the method can be used to compute thermodynamic data for the macroscopic limit from knowledge of fluctuations in the small system. The rapid and precise method offers an alternative to curre…

Surface (mathematics)PhysicsNanothermodyamicsCurrent (mathematics)Scaling lawsBasis (linear algebra)ComputationBinary numberThermodynamicsIndustrial and Manufacturing EngineeringKirkwood-Buff integralsThermodynamic factorsThermodynamic limitGeneral Materials ScienceNanothermodyamics; Scaling laws; Kirkwood-Buff integrals; Thermodynamic factors; Diffusion coefficientStatistical physicsElectrical and Electronic EngineeringDiffusion (business)MacroDiffusion coefficientAdvances in Natural Sciences: Nanoscience and Nanotechnology
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Kirkwood–Buff Integrals Using Molecular Simulation: Estimation of Surface Effects

2020

Kirkwood&ndash

Surface (mathematics)PhysicsWork (thermodynamics)Finite volume method010304 chemical physicsScale (ratio)nanothermodynamicsGeneral Chemical Engineeringsurface effectsExtrapolationInverse02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesArticlemolecular dynamicsKirkwood-Buff integralslcsh:Chemistrylcsh:QD1-9990103 physical sciencesThermodynamic limitGeneral Materials ScienceStatistical physics0210 nano-technologyScalingNanomaterials
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Quantitative atomic force microscopy

2017

A variety of atomic force microscopy (AFM) modes is employed in the field of surface science. The most prominent AFM modes include the amplitude modulation (AM) and the frequency modulation (FM) mode. Over the years, different ways for analyzing data acquired with different AFM modes have been developed, where each analysis is usually based on mode-specific assumptions and approximations. Checking the validity of the seemingly different approximations employed in the various analysis methods can be a tedious task. Moreover, a straightforward comparison of data analyzed with different methods can, therefore, be challenging. Here, we combine the existing evaluation methods which have been sep…

Surface (mathematics)Physicsatomic force microscopyquantitative analysisField (physics)Atomic force microscopyMode (statistics)operation modeHarmonic (mathematics)Nanotechnology02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter Physics53001 natural sciencesSet (abstract data type)Amplitude modulation0103 physical sciencesGeneral Materials ScienceStatistical physics010306 general physics0210 nano-technologyFrequency modulationJournal of Physics: Condensed Matter
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Static and dynamical properties of a supercooled liquid confined in a pore

2000

We present the results of a Molecular Dynamics computer simulation of a binary Lennard-Jones liquid confined in a narrow pore. The surface of the pore has an amorphous structure similar to that of the confined liquid. We find that the static properties of the liquid are not affected by the confinement, while the dynamics changes dramatically. By investigating the time and temperature dependence of the intermediate scattering function we show that the dynamics of the particles close to the center of the tube is similar to the one in the bulk, whereas the characteristic relaxation time tau_q(T,rho) of the intermediate scattering function at wavevector q and distance rho from the axis of the p…

Surface (mathematics)Scattering functionStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsChemistryFOS: Physical sciencesGeneral Physics and AstronomyThermodynamicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksAmorphous solidMolecular dynamicsWave vectorSupercoolingGlass transitionCondensed Matter - Statistical MechanicsLe Journal de Physique IV
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Power laws and crossovers in off-critical surface-directed spinodal decomposition.

2000

We study the dynamics of phase separation in binary mixtures near a surface with a preferential attraction for one of the components of the mixture. We obtain detailed numerical results for a range of mixture compositions. In the case where the minority component is attracted to the surface, wetting layer growth is characterized by a crossover from a surface-potential-dependent growth law to a universal law. We formulate a simple phenomenological model to explain our numerical results.

Surface (mathematics)SpinodalMaterials scienceComponent (thermodynamics)Spinodal decompositionPhenomenological modelCrossoverGeneral Physics and AstronomyThermodynamicsStatistical physicsPower lawWetting layerPhysical review letters
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Surface segregation trends in transition metal alloys

2013

In this work, we revisit the problem of predicting the surface segregation trends in binary transition metal alloys from the knowledge of the basic features of the pure component $d$-band electronic structure within tight-binding approximation. In contrast to previous trend studies, the present one includes, within the fourth-moment approximation (FMA) of the tight-binding scheme, both the difference in the average band energies (diagonal disorder) and the difference in the band widths (off-diagonal disorder) of the two components. We show that treating on the same footing these two effects is essential for a correct prediction of surface segregation. The presented study, giving a natural l…

Surface (mathematics)Work (thermodynamics)Materials scienceComponent (thermodynamics)DiagonalBinary numberContext (language use)02 engineering and technologyElectronic structure021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesElectronic Optical and Magnetic Materials0103 physical sciencesStatistical physics010306 general physics0210 nano-technologyMixing (physics)Physical Review B
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New insight into the aptamer conformation and aptamer/protein interaction by surface-enhanced Raman scattering and multivariate statistical analysis

2021

International audience; We study the interaction between one aptamer and its analyte (the MnSOD protein) by the combination of surface-enhanced Raman scattering and multivariate statistical analysis. We observe the aptamer structure and its evolution during the interaction under different experimental conditions (in air or in buffer). Through the spectral treatment by principal component analysis of a large set of SERS data, we were able to probe the aptamer conformations and orientations relative to the surface assuming that the in-plane nucleoside modes are selectively enhanced. We demonstrate that the aptamer orientation and thus its flexibility rely strongly on the presence of a spacer …

Surface (mathematics)[PHYS]Physics [physics]AnalyteChemistryAptamer[SDV]Life Sciences [q-bio]02 engineering and technologyBiosensing TechniquesAptamers Nucleotide010402 general chemistry021001 nanoscience & nanotechnologySpectrum Analysis Raman01 natural sciences0104 chemical sciencessymbols.namesakesymbolsBiophysics[CHIM]Chemical SciencesGeneral Materials Science[NLIN]Nonlinear Sciences [physics]Multivariate statistical0210 nano-technologyRaman scattering
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