Search results for "Neural"

showing 10 items of 2783 documents

Finite-size tests of hyperscaling.

1985

The possible form of hyperscaling violations in finite-size scaling theory is discussed. The implications for recent tests in Monte Carlo simulations of the d = 3 Ising model are examined, and new results for the d = 5 Ising model are presented.

PhysicsMonte Carlo methodCondensed Matter::Statistical MechanicsSquare-lattice Ising modelMonte Carlo method in statistical physicsIsing modelStatistical physicsScaling theoryCondensed Matter::Disordered Systems and Neural NetworksMonte Carlo molecular modelingPhysical review. B, Condensed matter
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The CALMA system: an artificial neural network method for detecting masses and microcalcifications in digitized mammograms

2004

The CALMA (Computer Assisted Library for MAmmography) project is a five years plan developed in a physics research frame in collaboration between INFN (Istituto Nazionale di Fisica Nucleare) and many Italian hospitals. At present a large database of digitized mammographic images (more than 6000) was collected and a software based on neural network algorithms for the search of suspicious breast lesions was developed. Two tools are available: a microcalcification clusters hunter, based on supervised and unsupervised feedforward neural network, and a massive lesions searcher, based on a hibrid approach. Both the algorithms analyzed preprocessed digitized images by high frequency filters. Clini…

PhysicsNuclear and High Energy PhysicsArtificial neural networkmedicine.diagnostic_testbusiness.industryFrame (networking)FOS: Physical sciencesPattern recognitioncomputer.software_genreGridPhysics - Medical PhysicsSoftwareHybrid systemmedicineComputer Aided DesignFeedforward neural networkMammographyMedical Physics (physics.med-ph)Artificial intelligencebusinessInstrumentationcomputerNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Neutron detection and γ-ray suppression using artificial neural networks with the liquid scintillators BC-501A and BC-537

2019

Abstract In this work we present a comparison between the two liquid scintillators BC-501A and BC-537 in terms of their performance regarding the pulse-shape discrimination between neutrons and γ rays. Special emphasis is put on the application of artificial neural networks . The results show a systematically higher γ -ray rejection ratio for BC-501A compared to BC-537 applying the commonly used charge comparison method. Using the artificial neural network approach the discrimination quality was improved to more than 95% rejection efficiency of γ rays over the energy range 150 to 1000 keV for both BC-501A and BC-537. However, due to the larger light output of BC-501A compared to BC-537, neu…

PhysicsNuclear and High Energy PhysicsRange (particle radiation)Artificial neural network010308 nuclear & particles physicsAstrophysics::High Energy Astrophysical PhenomenaScintillator01 natural sciencesComputational physicsRecoilDeuterium0103 physical sciencesNeutron detectionNeutron010306 general physicsSpectroscopyInstrumentationNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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On the correlation between phase-locking modes and Vibrational Resonance in a neuronal model

2018

International audience; We numerically and experimentally investigate the underlying mechanism leading to multiple resonances in the FitzHugh-Nagumo model driven by a bichromatic excitation. Using a FitzHugh-Nagumo circuit, we first analyze the number of spikes triggered by the system in response to a single sinusoidal wave forcing. We build an encoding diagram where different phase-locking modes are identified according to the amplitude and frequency of the sinusoidal excitation. Next, we consider the bichromatic driving which consists in a low frequency sinusoidal wave perturbed by an additive high frequency signal. Beside the classical Vibrational Resonance phenomenon, we show in real ex…

PhysicsNumerical AnalysisQuantitative Biology::Neurons and CognitionApplied MathematicsPerturbation (astronomy)phase locking modesLow frequencyneural networks01 natural sciences010305 fluids & plasmasComputational physicsCorrelationNonlinear systemnonlinear dynamicsSine waveAmplitude[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Control theoryModeling and Simulation0103 physical sciencesVibrational resonance[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]010306 general physicsvibrational resonanceExcitation
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Dynamical coexistence in moderately polydisperse hard-sphere glasses

2020

We perform extensive numerical simulations of a paradigmatic model glass former, the hard-sphere fluid with 10% polydispersity. We sample from the ensemble of trajectories with fixed observation time, whereby single trajectories are generated by event-driven molecular dynamics. We show that these trajectories can be characterized in terms of the local structure, and we find a dynamical-structural (active-inactive) phase transition between two dynamical phases: one dominated by liquidlike trajectories with a low degree of local order and one dominated by glassylike trajectories with a high degree of local order. We show that both phases coexist and are separated by a spatiotemporal interface…

PhysicsPhase transition010304 chemical physicsStatistical Mechanics (cond-mat.stat-mech)General Physics and AstronomyFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Renormalization groupCondensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)010402 general chemistryScaling theory01 natural sciencesLocal structureDirected percolation0104 chemical sciencesMolecular dynamicsCritical point (thermodynamics)0103 physical sciencesStatistical physicsPhysical and Theoretical ChemistryScalingPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Suppression of carrier induced ferromagnetism by composition and spin fluctuations in diluted magnetic semiconductors

2001

We suggest an approach to account for spatial (composition) and thermal fluctuations in "disordered" magnetic models (e.g. Heisenberg, Ising) with given spatial dependence of magnetic spin-spin interaction. Our approach is based on introduction of fluctuating molecular field (rather than mean field) acting between the spins. The distribution function of the above field is derived self-consistently. In general case this function is not Gaussian, latter asymptotics occurs only at sufficiently large spins (magnetic ions) concentrations $n_i$. Our approach permits to derive the equation for a critical temperature $T_c$ of ferromagnetic phase transition with respect to the above fluctuations. We…

PhysicsPhase transitionCondensed Matter - Materials ScienceSpinsCondensed matter physicsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesMagnetic semiconductorDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksBase (group theory)Distribution functionFerromagnetismMean field theoryCondensed Matter::Strongly Correlated ElectronsSpin-½
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Statistical properties of the eigenvalue spectrum of the three-dimensional Anderson Hamiltonian

1993

A method to describe the metal-insulator transition (MIT) in disordered systems is presented. For this purpose the statistical properties of the eigenvalue spectrum of the Anderson Hamiltonian are considered. As the MIT corresponds to the transition between chaotic and nonchaotic behavior, it can be expected that the random matrix theory enables a qualitative description of the phase transition. We show that it is possible to determine the critical disorder in this way. In the thermodynamic limit the critical point behavior separates two different regimes: one for the metallic side and one for the insulating side.

PhysicsPhase transitionCritical phenomenaCondensed Matter::Disordered Systems and Neural Networkssymbols.namesakeCritical point (thermodynamics)Thermodynamic limitsymbolsCondensed Matter::Strongly Correlated ElectronsStatistical physicsHamiltonian (quantum mechanics)Random matrixAnderson impurity modelEigenvalues and eigenvectorsPhysical Review B
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Theory of orientational glasses models, concepts, simulations

1992

Abstract This review describes the various attempts to develop a theoretical understanding for ordering and dynamics of randomly diluted molecular crystals, where quadrupole moments freeze in random orientations upon lowering the temperature, as a result of randomness and competing interactions. While some theories attempt to model this freezing into a phase with randomly oriented quadrupole moments in terms of a bond-disorder concept analogous to the Edwards-Anderson model of spin glasses, other theories attribute the freezing to random field-like terms in the Hamiltonian. While models of the latter type have been studied primarily by microscopic molecular field-type treatments, the former…

PhysicsPhase transitionRandom fieldSpin glassMean field theoryIsing modelStatistical physicsCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksOrientational glassRandomnessPotts modelAdvances in Physics
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The four dimensional Ising spin glass: A Monte Carlo study (invited)

1991

We describe results of Monte Carlo simulation studies on the Ising spin glass in four dimensions on a hypercubic lattice with nearest neighbor bonds. Studies of the equilibrium static properties show that the system undergoes a genuine phase transition to an ordered spin glass phase. Critical dynamical behavior is analyzed to obtain the dynamic exponent. Finally, we describe results on the spin glass phase, in particular the finite size scaling of the order parameter distribution function, and compare it with existing models of the spin glass phase, namely the droplet model and the Parisi solution for the low temperature phase of the infinite range spin glass.

PhysicsPhase transitionSpin glassCondensed matter physicsLattice (order)Critical phenomenaMonte Carlo methodOrder and disorderGeneral Physics and AstronomyIsing modelStatistical physicsCondensed Matter::Disordered Systems and Neural NetworksScalingJournal of Applied Physics
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Second-Order Phase Transition Induced by Deterministic Fluctuations in Aperiodic Eight-State Potts Models

1999

We investigate the influence of aperiodic modulations of the exchange interactions between nearest-neighbour rows on the phase transition of the two-dimensional eight-state Potts model. The systems are studied numerically through intensive Monte Carlo simulations using the Swendsen-Wang cluster algorithm for different aperiodic sequences. The transition point is located through duality relations, and the critical behaviour is investigated using FSS techniques at criticality. While the pure system exhibits a first-order transition, we show that the deterministic fluctuations resulting from the aperiodic coupling distribution are liable to modify drastically the physical properties in the nei…

PhysicsPhase transitionStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodDuality (optimization)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksFixed pointCondensed Matter PhysicsCoupling (probability)Electronic Optical and Magnetic MaterialsTransition pointAperiodic graphStatistical physicsCondensed Matter - Statistical MechanicsPotts model
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