Search results for "Statistical Mechanic"

showing 10 items of 707 documents

Non-equilibrium Markov state modeling of periodically driven biomolecules

2019

Molecular dynamics simulations allow to study the structure and dynamics of single biomolecules in microscopic detail. However, many processes occur on time scales beyond the reach of fully atomistic simulations and require coarse-grained multiscale models. While systematic approaches to construct such models have become available, these typically rely on microscopic dynamics that obey detailed balance. In vivo, however, biomolecules are constantly driven away from equilibrium in order to perform specific functions and thus break detailed balance. Here we introduce a method to construct Markov state models for systems that are driven through periodically changing one (or several) external p…

Computer scienceFOS: Physical sciencesGeneral Physics and AstronomyMarkov processMolecular Dynamics Simulation010402 general chemistry01 natural sciencesMolecular dynamicssymbols.namesake0103 physical sciencesPhysics - Biological PhysicsStatistical physicsPhysical and Theoretical ChemistryCondensed Matter - Statistical Mechanicschemistry.chemical_classificationQuantitative Biology::BiomoleculesStatistical Mechanics (cond-mat.stat-mech)010304 chemical physicsMarkov chainBiomoleculeMolecular biophysicsDetailed balanceDipeptidesComputational Physics (physics.comp-ph)Markov Chains0104 chemical sciencesModels ChemicalchemistryBiological Physics (physics.bio-ph)Benchmark (computing)symbolsState (computer science)Physics - Computational PhysicsThe Journal of Chemical Physics
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Magnetic order in 2D antiferromagnets revealed by spontaneous anisotropic magnetostriction

2023

The temperature dependent order parameter provides important information on the nature of magnetism. Using traditional methods to study this parameter in two-dimensional (2D) magnets remains difficult, however, particularly for insulating antiferromagnetic (AF) compounds. Here, we show that its temperature dependence in AF MPS$_{3}$ (M(II) = Fe, Co, Ni) can be probed via the anisotropy in the resonance frequency of rectangular membranes, mediated by a combination of anisotropic magnetostriction and spontaneous staggered magnetization. Density functional calculations followed by a derived orbital-resolved magnetic exchange analysis confirm and unravel the microscopic origin of this magnetiza…

Condensed Matter - Materials ScienceCondensed Matter - Mesoscale and Nanoscale PhysicsStatistical Mechanics (cond-mat.stat-mech)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesCondensed Matter - Statistical Mechanics
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Quantum rescaling, domain metastability and hybrid domain-walls in two-dimensional CrI3 magnets

2020

Higher-order exchange interactions and quantum effects are widely known to play an important role in describing the properties of low-dimensional magnetic compounds. Here we identify the recently discovered two-dimensional (2D) van der Waals (vdW) CrI3 as a quantum non-Heisenberg material with properties far beyond an Ising magnet as initially assumed. We find that biquadratic exchange interactions are essential to quantitatively describe the magnetism of CrI3 but requiring quantum rescaling corrections to reproduce its thermal properties. The quantum nature of the heat bath represented by discrete electron-spin and phonon-spin scattering processes induced the formation of spin fluctuations…

Condensed Matter - Materials ScienceCondensed Matter - Strongly Correlated ElectronsCondensed Matter - Mesoscale and Nanoscale PhysicsStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)cond-mat.mes-hallMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencescond-mat.str-elcond-mat.stat-mechCondensed Matter - Statistical Mechanicscond-mat.mtrl-sci
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Speeding up of microstructure reconstruction: II. Application to patterns of poly-dispersed islands

2015

We report a fast, efficient and credible statistical reconstruction of any two-phase patterns of islands of miscellaneous shapes and poly-dispersed in sizes. In the proposed multi-scale approach called a weighted doubly-hybrid, two different pairs of hybrid descriptors are used. As the first pair, we employ entropic quantifiers, while correlation functions are the second pair. Their competition allows considering a wider spectrum of morphological features. Instead of a standard random initial configuration, a synthetic one with the same number of islands as that of the target is created by a cellular automaton. This is the key point for speeding-up of microstructure reconstruction, making u…

Condensed Matter - Materials ScienceGeneral Computer ScienceStatistical Mechanics (cond-mat.stat-mech)Interface (Java)Computer scienceMonte Carlo methodGeneral Physics and AstronomyMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral ChemistryMicrostructureSample (graphics)Cellular automatonOutcome (probability)Computational MathematicsKey pointMechanics of MaterialsSimulated annealingGeneral Materials ScienceAlgorithmCondensed Matter - Statistical Mechanics
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Enhanced structural correlations accelerate diffusion in charge-stabilized colloidal suspensions

1999

Theoretical calculations for colloidal charge-stabilized and hard sphere suspensions show that hydrodynamic interactions yield a qualitatively different particle concentration dependence of the short-time self-diffusion coefficient. The effect, however, is numerically small and hardly accessible by conventional light scattering experiments. Applying multiple-scattering decorrelation equipment and a careful data analysis we show that the theoretical prediction for charged particles is in agreement with our experimental results from aqueous polystyrene latex suspensions.

Condensed Matter - Materials ScienceMaterials scienceAqueous solutionStatistical Mechanics (cond-mat.stat-mech)DiffusionMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesCharge (physics)Condensed Matter - Soft Condensed MatterPolystyrene latexCharged particleCondensed Matter::Soft Condensed MatterColloidChemical physicsYield (chemistry)Soft Condensed Matter (cond-mat.soft)ParticleStatistical physicsCondensed Matter - Statistical MechanicsPhysical Review E
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Molecular-dynamics computer simulation of crystal growth and melting in Al 50 Ni 50

2008

The melting and crystallization of Al50Ni50} are studied by means of molecular dynamics computer simulations, using a potential of the embedded atom type to model the interactions between the particles. Systems in a slab geometry are simulated where the B2 phase of AlNi in the middle of an elongated simulation box is separated by two planar interfaces from the liquid phase, thereby considering the (100) crystal orientation. By determining the temperature dependence of the interface velocity, an accurate estimate of the melting temperature is provided. The value k=0.0025 m/s/K for the kinetic growth coefficient is found. This value is about two orders of magnitude smaller than that found in …

Condensed Matter - Materials ScienceMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Physics and AstronomyThermodynamicsCrystal growthlaw.inventionMolecular dynamicsPlanarlawPhase (matter)AtomDiffusion (business)CrystallizationCondensed Matter - Statistical MechanicsOrder of magnitudeEPL (Europhysics Letters)
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Speeding up of microstructure reconstruction: I. Application to labyrinth patterns

2011

Recently, entropic descriptors based the Monte Carlo hybrid reconstruction of the microstructure of a binary/greyscale pattern has been proposed (Piasecki 2011 Proc. R. Soc. A 467 806). We try to speed up this method applied in this instance to the reconstruction of a binary labyrinth target. Instead of a random configuration, we propose to start with a suitable synthetic pattern created by cellular automaton. The occurrence of the characteristic attributes of the target is the key factor for reducing the computational cost that can be measured by the total number of MC steps required. For the same set of basic parameters, we investigated the following simulation scenarios: the biased/rando…

Condensed Matter - Materials ScienceSpeedupMaterials scienceSeries (mathematics)Statistical Mechanics (cond-mat.stat-mech)Monte Carlo methodBinary numberMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesComputational Physics (physics.comp-ph)Condensed Matter PhysicsGrayscaleCellular automatonComputer Science ApplicationsSet (abstract data type)Mechanics of MaterialsModeling and SimulationGeneral Materials ScienceCompleteness (statistics)AlgorithmPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Stable topological textures in a classical 2D Heisenberg model

2009

We show that stable localized topological soliton textures (skyrmions) with $\pi_2$ topological charge $\nu \geq 1$ exist in a classical 2D Heisenberg model of a ferromagnet with uniaxial anisotropy. For this model the soliton exist only if the number of bound magnons exceeds some threshold value $N_{\rm cr}$ depending on $\nu $ and the effective anisotropy constant $K_{\rm eff}$. We define soliton phase diagram as the dependence of threshold energies and bound magnons number on anisotropy constant. The phase boundary lines are monotonous for both $\nu=1$ and $\nu >2$, while the solitons with $\nu=2$ reveal peculiar nonmonotonous behavior, determining the transition regime from low to high …

Condensed Matter - Materials ScienceStatistical Mechanics (cond-mat.stat-mech)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesCondensed Matter - Statistical Mechanics
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Unraveling modular microswimmers: From self-assembly to ion-exchange-driven motors

2018

Active systems contain self-propelled particles and can spontaneously self-organize into patterns making them attractive candidates for the self-assembly of smart soft materials. One key limitation of our present understanding of these materials hinges on the complexity of the microscopic mechanisms driving its components forward. Here, by combining experiments, analytical theory, and simulations we explore such a mechanism for a class of active system, modular microswimmers, which self-assemble from colloids and ion-exchange resins on charged substrates. Our results unveil the self-assembly processes and the working mechanism of the ion-exchange driven motors underlying modular microswimme…

Condensed Matter - Materials ScienceStatistical Mechanics (cond-mat.stat-mech)business.industryComputer scienceMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesNanotechnologyActive systems02 engineering and technologyCondensed Matter - Soft Condensed MatterModular design021001 nanoscience & nanotechnology01 natural sciencesSoft materialsMechanism (engineering)0103 physical sciencesSoft Condensed Matter (cond-mat.soft)Self-assembly010306 general physics0210 nano-technologybusinessCondensed Matter - Statistical MechanicsPhysical Review E
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Exact canonical occupation numbers in a Fermi gas with finite level spacing and a q-analog of Fermi-Dirac distribution

2011

We consider equilibrium level occupation numbers in a Fermi gas with a fixed number of particles, n, and finite level spacing. Using the method of generating functions and the cumulant expansion we derive a recurrence relation for canonical partition function and an explicit formula for occupation numbers in terms of single-particle partition function at n different temperatures. We apply this result to a model with equidistant non-degenerate spectrum and obtain close-form expressions in terms of q-polynomials and Rogers-Ramanujan partial theta function. Deviations from the standard Fermi-Dirac distribution can be interpreted in terms of a gap in the chemical potential between the particle …

Condensed Matter - Mesoscale and Nanoscale PhysicsStatistical Mechanics (cond-mat.stat-mech)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesMathematical Physics (math-ph)Condensed Matter - Statistical MechanicsMathematical Physics
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