Search results for " lattice"

showing 10 items of 813 documents

Noise Induced Phenomena in the Dynamics of Two Competing Species

2015

Noise through its interaction with the nonlinearity of the living systems can give rise to counter-intuitive phenomena. In this paper we shortly review noise induced effects in different ecosystems, in which two populations compete for the same resources. We also present new results on spatial patterns of two populations, while modeling real distributions of anchovies and sardines. The transient dynamics of these ecosystems are analyzed through generalized Lotka-Volterra equations in the presence of multiplicative noise, which models the interaction between the species and the environment. We find noise induced phenomena such as quasi-deterministic oscillations, stochastic resonance, noise …

Stochastic resonanceMultiplicative noiseFOS: Physical sciencesPopulation dynamic01 natural sciencesMultiplicative noiseNoise induced phenomena010305 fluids & plasmasLangevin equation0103 physical sciencesQuantitative Biology::Populations and EvolutionStatistical physicsQuantitative Biology - Populations and Evolution010306 general physicsCondensed Matter - Statistical MechanicsPhysicsExtinctionPredictive microbiologyStatistical Mechanics (cond-mat.stat-mech)Applied MathematicsPopulations and Evolution (q-bio.PE)Langevin equation; Multiplicative noise; Noise induced phenomena; Population dynamics; Predictive microbiology; Stochastic resonance; Modeling and SimulationSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Langevin equationNoiseModeling and SimulationFOS: Biological sciencesSpatial ecologyProbability distributionStochastic resonanceCoupled map lattice
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Confined binary two-dimensional colloidal crystals: Monte Carlo simulation of crack formation.

2010

Binary mixtures (A, B) of colloidal particles of different sizes in two dimensions may form crystals with square lattice structure (the A-particles occupying the white sites and the B-particles the black sites of a checkerboard). Confining such a system by two parallel 'walls' a distance D apart, long-range order in the direction parallel to the walls is stabilized by 'corrugated walls' that are commensurate with the lattice structure but destabilized by structureless 'hard walls', even if there is no misfit between the strip width D and the crystal lattice spacing. The crossover to quasi-one-dimensional behavior is studied by Monte Carlo simulations, analyzing Lindemann parameters and disp…

Stress (mechanics)CrystalCorrelation function (statistical mechanics)Materials scienceCondensed matter physicsMonte Carlo methodParticleGeneral Materials ScienceColloidal crystalCondensed Matter PhysicsCritical valueSquare latticeJournal of physics. Condensed matter : an Institute of Physics journal
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Subgroup S-commutativity degrees of finite groups

2012

Subgroups latticeSettore MAT/02 - Algebrapermutability degreemodular group
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New method for field studies on the parapatric distribution of sibling species

1999

Abstract Spatial segregation (parapatry) often occurs between closely related species. The distributions of the two species are sometimes defined with a small overlapping zone (called a `sympatric area') which generally shifts. Exclusion is necessary to explain the persistence and shift of such a spatial pattern. Field studies are carried out to identify the type of interaction that leads to the required exclusion. This is usually achieved by estimating competition and predation parameters to define the type of interaction strong enough to imply exclusion. But interaction parameters are estimated by quantitative methods which require prolonged observation (5–10 years). These estimations are…

SympatryEcologyEcologymedia_common.quotation_subjectContext (language use)BiologyParapatric speciationGeneral Biochemistry Genetics and Molecular BiologyField (geography)Competition (biology)Sympatric speciationCommon spatial patternStatistical physicsCoupled map latticemedia_commonComptes Rendus de l'Académie des Sciences - Series III - Sciences de la Vie
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Getting even with CLE

2018

In the landscape of approaches toward the simulation of Lattice Models with complex action the Complex Langevin (CL) appears as a straightforward method with a simple, well defined setup. Its applicability, however, is controlled by certain specific conditions which are not always satisfied. We here discuss the procedures to meet these conditions and the estimation of systematic errors and present some actual achievements.

Systematic errorMathematical optimizationta114010308 nuclear & particles physicsPhysicsQC1-999High Energy Physics - Lattice (hep-lat)FOS: Physical sciencessimulation01 natural sciencesLattice (module)High Energy Physics - LatticeAction (philosophy)Simple (abstract algebra)lattice models0103 physical sciencessimulointiComplex Langevin process010306 general physics
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Self-assembled MgxZn1−xO quantum dots (0 ≤ x ≤ 1) on different substrates using spray pyrolysis methodology

2013

By using the spray pyrolysis methodology in its classical configuration we have grown self-assembled MgxZn1−xO quantum dots (size [similar]4–6 nm) in the overall range of compositions 0 ≤ x ≤ 1 on c-sapphire, Si (100) and quartz substrates. Composition of the quantum dots was determined by means of transmission electron microscopy-energy dispersive X-ray analysis (TEM-EDAX) and X-ray photoelectron spectroscopy. Selected area electron diffraction reveals the growth of single phase hexagonal MgxZn1−xO quantum dots with composition 0 ≤ x ≤ 0.32 by using a nominal concentration of Mg in the range 0 to 45%. Onset of Mg concentration about 50% (nominal) forces the hexagonal lattice to undergo a p…

TelecomunicacionesPhase transitionMaterials scienceAnalytical chemistry02 engineering and technologyGeneral ChemistryElectronCubic crystal system010402 general chemistry021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciences0104 chemical sciencesCrystallographyX-ray photoelectron spectroscopyQuantum dotGeneral Materials ScienceHexagonal latticeSelected area diffraction0210 nano-technologyHigh-resolution transmission electron microscopyCrystEngComm
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Terahertz electrical writing speed in an antiferromagnetic memory

2018

The speed of writing of state-of-the-art ferromagnetic memories is physically limited by an intrinsic gigahertz threshold. Recently, realization of memory devices based on antiferromagnets, in which spin directions periodically alternate from one atomic lattice site to the next has moved research in an alternative direction. We experimentally demonstrate at room temperature that the speed of reversible electrical writing in a memory device can be scaled up to terahertz using an antiferromagnet. A current-induced spin-torque mechanism is responsible for the switching in our memory devices throughout the 12-order-of-magnitude range of writing speeds from hertz to terahertz. Our work opens the…

Terahertz radiationPhysics::Optics02 engineering and technologyHardware_PERFORMANCEANDRELIABILITY01 natural sciences530Computer Science::Hardware ArchitectureHertz0103 physical sciencesHardware_INTEGRATEDCIRCUITSAntiferromagnetismAtomic lattice010306 general physicsResearch ArticlesSpin-½PhysicsMultidisciplinarybusiness.industrySciAdv r-articles021001 nanoscience & nanotechnologyelectrical writingFerromagnetismApplied Sciences and Engineeringwriting speedComputer ScienceOptoelectronicsCondensed Matter::Strongly Correlated Electronsantiferromagnetic memory0210 nano-technologybusinessRealization (systems)Research ArticleScience Advances
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Modelling and simulation of several interacting cellular automata

2015

Cellular automata are used for modelling and simulation of many systems. In some applications, the system is formed by a set of subsystems that can be modelled separately, but, in such cases, the existence of interactions between these subsystems requires additional modelling and computer programming. In this paper we propose a modelling methodology for the simulation of a set of cellular automata models that interact with each other. The modelling methodology is described, together with an insight on implementation details. Also, it is applied to a particular cellular automata model, the Sanpile model, to illustrate its use and to obtain some example simulations.

Theoretical computer scienceComputer scienceAbelian sandpile modelbusiness.industryComputer programmingGeneral EngineeringVirtual realityDynamic modellingNonlinear Sciences::Cellular Automata and Lattice GasesCellular automatonComputer Science ApplicationsSet (abstract data type)Stochastic cellular automatonSimulació per ordinadorbusinessRobotsSoftware
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A Tool for Implementing and Exploring SBM Models: Universal 1D Invertible Cellular Automata

2005

The easiest form of designing Cellular Automata rules with features such as invertibility or particle conserving is to rely on a partitioning scheme, the most important of which is the 2D Margolus neighborhood. In this paper we introduce a 1D Margolus-like neighborhood that gives support to a complete set of Cellular Automata models. We present a set of models called Sliding Ball Models based on this neighborhood and capable of universal computation. We show the way of designing logic gates with these models, propose a digital structure to implement them and finally we present SBMTool, a software development system capable of working with the new models.

Theoretical computer scienceComputer sciencebusiness.industryComputationSoftware developmentNonlinear Sciences::Cellular Automata and Lattice GasesCellular automatonMobile automatonlaw.inventionStochastic cellular automatonInvertible matrixlawLogic gateArtificial intelligencebusinessQuantum cellular automaton
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Gradation of Fuzzy Preconcept Lattices

2021

Noticing certain limitations of concept lattices in the fuzzy context, especially in view of their practical applications, in this paper, we propose a more general approach based on what we call graded fuzzy preconcept lattices. We believe that this approach is more adequate for dealing with fuzzy information then the one based on fuzzy concept lattices. We consider two possible gradation methods of fuzzy preconcept lattice—an inner one, called D-gradation and an outer one, called M-gradation, study their properties, and illustrate by a series of examples, in particular, of practical nature.

Theoretical computer scienceLogicComputer scienceMathematics::General Mathematicsfuzzy context; fuzzy preconcept; fuzzy preconcept lattice; fuzzy concept; fuzzy concept lattice; graded fuzzy preconcept lattice0206 medical engineeringfuzzy preconceptContext (language use)02 engineering and technologyFuzzy logic0202 electrical engineering electronic engineering information engineeringFuzzy conceptMathematical Physicsfuzzy preconcept latticeAlgebra and Number TheorySeries (mathematics)lcsh:Mathematicsfuzzy contextfuzzy conceptfuzzy concept latticelcsh:QA1-939graded fuzzy preconcept latticeComputer Science::Programming Languages020201 artificial intelligence & image processingGradationGeometry and Topology020602 bioinformaticsAnalysisAxioms; Volume 10; Issue 1; Pages: 41
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