Search results for " Soft"

showing 10 items of 1710 documents

Non-Equilibrium Markov State Modeling of the Globule-Stretch Transition

2016

We describe a systematic approach to construct coarse-grained Markov state models from molecular dynamics data of systems driven into a nonequilibrium steady state. We apply this method to study the globule-stretch transition of a single tethered model polymer in shear flow. The folding and unfolding rates of the coarse-grained model agree with the original detailed model. We demonstrate that the folding and unfolding proceeds through the same narrow region of configuration space but along different cycles.

State modelQuantitative Biology::Biomolecules010304 chemical physicsMarkov chainStatistical Mechanics (cond-mat.stat-mech)Non-equilibrium thermodynamicsFOS: Physical sciencesState (functional analysis)Folding (DSP implementation)Condensed Matter - Soft Condensed Matter01 natural sciencesCondensed Matter::Soft Condensed MatterMolecular dynamics0103 physical sciencesSoft Condensed Matter (cond-mat.soft)Configuration spaceStatistical physics010306 general physicsShear flowCondensed Matter - Statistical MechanicsMathematics
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A Space-Vector State Dynamic Model of the Synchronous Reluctance Motor Including Self and Cross-Saturation Effects and its Parameters Estimation

2018

This paper proposes a space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) including both self-saturation and cross-saturation effects and selecting as state variables the stator currents. The proposed dynamic model is based on an original function between the stator flux and stator current components, and relies on 8 coefficients (fewer than other models in the scientific literature), presenting an interesting physical interpretation. Starting from this approach, both the static and dynamic inductances expressions of the model have been analytically developed, so that the reciprocity conditions for the cross saturation is satisfied. This paper presents also a technique fo…

State variableComputer simulationStatorComputer scienceEstimation theorySpace-vector dynamic model05 social sciences020207 software engineering02 engineering and technologylaw.inventionError functionSettore ING-INF/04 - AutomaticalawControl theoryParameters' estimation0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesMinificationSynchronous Reluctance Motor (SynRM)Magnetic characteristicsSynchronous reluctance motorSaturation (magnetic)050107 human factors2018 IEEE Energy Conversion Congress and Exposition (ECCE)
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Incompleteness in Conceptual Data Modelling

2013

Although conceptual data modelers can ”get creative” when designing entities and relationships to meet business requirements, they are highly constrained by the business rules which determine the details of how the entities and relationships combine. Typically, there is a delay in realising which business rules might be relevant and a further delay in obtaining an authoritative statement of these rules. We identify circumstances under which viable database designs can be constructed from conceptual data models which are incomplete in the sense that they lack this “infrastructural” detail normally obtained from the business rules. As such detail becomes available, our approach allows the con…

Statement (computer science)Business requirementsbusiness.industryComputer scienceBusiness ruleConceptual model (computer science)020207 software engineering02 engineering and technologyDatabase refactoringData modelingConceptual data modelingEntity–relationship model0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSoftware engineeringbusiness
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Nature of crossover from classical to Ising-like critical behavior

1998

We present an accurate numerical determination of the crossover from classical to Ising-like critical behavior upon approach of the critical point in three-dimensional systems. The possibility to vary the Ginzburg number in our simulations allows us to cover the entire crossover region. We employ these results to scrutinize several semi-phenomenological crossover scaling functions that are widely used for the analysis of experimental results. In addition we present strong evidence that the exponent relations do not hold between effective exponents.

Statistical Mechanics (cond-mat.stat-mech)CrossoverFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCover (topology)Critical point (thermodynamics)ExponentSoft Condensed Matter (cond-mat.soft)Ising modelStatistical physicsCritical exponentScalingCondensed Matter - Statistical MechanicsMathematicsPhysical Review E
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Nonlinear response functions in an exponential trap model

2014

The nonlinear response to an oscillating field is calculated for a kinetic trap model with an exponential density of states and the results are compared to those for the model with a Gaussian density of states. The calculations are limited to the high temperature phase of the model. It is found that the results are qualitatively different only in a temperature range near the glass transition temperature $T_0$ of the exponential model. While for the Gaussian model the choice of the dynamical variable that couples to the field has no impact on the shape of the linear response, this is different for the exponential model. Here, it is found that also the relaxation time strongly depends on the …

Statistical Mechanics (cond-mat.stat-mech)Field (physics)Condensed matter physicsChemistryFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter PhysicsKinetic energyElectronic Optical and Magnetic MaterialsExponential functionNonlinear systemCorrelation function (statistical mechanics)Computational chemistryMaterials ChemistryCeramics and CompositesSoft Condensed Matter (cond-mat.soft)Limit (mathematics)ScalingCondensed Matter - Statistical MechanicsVariable (mathematics)
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Ornstein-Zernike equation and Percus-Yevick theory for molecular crystals

2004

We derive the Ornstein-Zernike equation for molecular crystals of axially symmetric particles and apply the Percus-Yevick approximation to this system. The one-particle orientational distribution function has a nontrivial dependence on the orientation and is needed as an input. Despite some differences, the Ornstein-Zernike equation for molecular crystals has a similar structure as for liquids. We solve both equations for hard ellipsoids on a sc lattice. Compared to molecular liquids, the tensorial orientational correlators exhibit less structure. However, depending on the lengths a and b of the rotation axis and the perpendicular axes of the ellipsoids, different behavior is found. For obl…

Statistical Mechanics (cond-mat.stat-mech)Plane (geometry)Center (category theory)FOS: Physical sciencesOrnstein–Zernike equationCondensed Matter - Soft Condensed MatterSpace (mathematics)Brillouin zoneOrientation (vector space)symbols.namesakeReciprocal latticeQuantum mechanicssymbolsSoft Condensed Matter (cond-mat.soft)MaximaCondensed Matter - Statistical MechanicsMathematics
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Strongly confined fluids: Diverging time scales and slowing down of equilibration

2016

The Newtonian dynamics of strongly confined fluids exhibits a rich behavior. Its confined and unconfined degrees of freedom decouple for confinement length $L \to 0$. In that case and for a slit geometry the intermediate scattering functions $S_{\mu\nu}(q,t)$ simplify, resulting for $(\mu,\nu) \neq (0,0)$ in a Knudsen-gas like behavior of the confined degrees of freedom, and otherwise in $S_{\parallel}(q,t)$, describing the structural relaxation of the unconfined ones. Taking the coupling into account we prove that the energy fluctuations relax exponentially. For smooth potentials the relaxation times diverge as $L^{-3}$ and $L^{-4}$, respectively, for the confined and unconfined degrees of…

Statistical Mechanics (cond-mat.stat-mech)ScatteringDegrees of freedom (physics and chemistry)Pair distribution functionFOS: Physical sciences02 engineering and technologyCondensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnologyCoupling (probability)01 natural sciencesNewtonian dynamicsQuantum mechanics0103 physical sciencesRelaxation (physics)Soft Condensed Matter (cond-mat.soft)010306 general physics0210 nano-technologyPair potentialCondensed Matter - Statistical MechanicsEnergy (signal processing)Mathematics
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Hunting active Brownian particles: Learning optimal behavior

2021

We numerically study active Brownian particles that can respond to environmental cues through a small set of actions (switching their motility and turning left or right with respect to some direction) which are motivated by recent experiments with colloidal self-propelled Janus particles. We employ reinforcement learning to find optimal mappings between the state of particles and these actions. Specifically, we first consider a predator-prey situation in which prey particles try to avoid a predator. Using as reward the squared distance from the predator, we discuss the merits of three state-action sets and show that turning away from the predator is the most successful strategy. We then rem…

Statistical Mechanics (cond-mat.stat-mech)Single clusterComputer scienceFOS: Physical sciencesCondensed Matter - Soft Condensed MatterSmall setActive matterSoft Condensed Matter (cond-mat.soft)Reinforcement learningStatistical physicsConcentration gradientSensory cueCondensed Matter - Statistical MechanicsBrownian motionPhysical Review E
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Calculation of local pressure tensors in systems with many-body interactions

2003

Local pressures are important in the calculation of interface tensions and in analyzing micromechanical behavior. The calculation of local pressures in computer simulations has been limited to systems with pairwise interactions between the particles, which is not sufficient for chemically detailed systems with many-body potentials such as angles and torsions. We introduce a method to calculate local pressures in systems with n-body interactions (n=2,3,4, . . .) based on a micromechanical definition of the pressure tensor. The local pressure consists of a kinetic contribution from the linear momentum of the particles and an internal contribution from dissected many-body interactions by infin…

Statistical Mechanics (cond-mat.stat-mech)Soft Condensed Matter (cond-mat.soft)FOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter - Statistical Mechanics
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The Raising Factor, That Great Unknown. A Guided Activity for Undergraduate Students

2020

In the first years of their economics degree programs, students will face many problems successfully dealing with a range of subjects with quantitative content. Specifically, in the field of statistics, difficulties to reach some basic academic achievements have been observed. Hence, a continuing challenge for statistics teachers is how to make this subject more appealing for students through the design and implementation of new teaching methodologies. The latter tend to follow two main approaches. On the one hand, it is useful for the learning process to propose practical activities that can connect theoretical concepts with real applications in the economic context. On the other hand, we …

Statistics and ProbabilityEconomics educationFace (sociological concept)Economia01 natural sciencesstatistical literacy010104 statistics & probabilityapplications and case studiesComputer softwareMathematics education0101 mathematicsStatistics educationMathematics instructioneducationlcsh:LC8-6691lcsh:Special aspects of education05 social sciences050301 educationexploratory data analysiseconomicsRaising (linguistics)Active learningStatistics Probability and Uncertaintylcsh:Probabilities. Mathematical statisticsPsychologylcsh:QA273-2800503 education
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