Search results for "Neural"

showing 10 items of 2783 documents

Aging effects manifested in the potential-energy landscape of a model glass former

2010

We present molecular dynamics simulations of a model glass-forming liquid (the binary Kob-Anderson Lennard-Jones model) and consider the distributions of inherent energies and metabasins during aging. In addition to the typical protocol of performing a temperature jump from a high temperature to a low destination temperature, we consider the temporal evolution of the distributions after an 'up-jump', i.e. from a low to a high temperature. In this case the distribution of megabasin energies exhibits a transient two-peak structure. Our results can qualitatively be rationalized in terms of a trap model with a Gaussian distribution of trap energies. The analysis is performed for different syste…

PhysicsGaussianFOS: Physical sciencesBinary numberDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksMolecular physicsMolecular dynamicssymbols.namesakeDistribution (mathematics)Temperature jumpThermodynamic limitsymbolsTransient (oscillation)Statistical physicsEnergy (signal processing)Physical Review E
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Synchronised gravitational atoms from mergers of bosonic stars

2020

If ultralight bosonic fields exist in Nature as dark matter, superradiance spins down rotating black holes (BHs), dynamically endowing them with equilibrium bosonic clouds, here dubbed synchronised gravitational atoms (SGAs). The self-gravity of these same fields, on the other hand, can lump them into (scalar or vector) horizonless solitons known as bosonic stars (BSs). We show that the dynamics of BSs yields a new channel forming SGAs. We study BS binaries that merge to form spinning BHs. After horizon formation, the BH spins up by accreting the bosonic field, but a remnant lingers around the horizon. If just enough angular momentum is present, the BH spin up stalls precisely as the remnan…

PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)High Energy Physics - TheoryAngular momentumSpins010308 nuclear & particles physicsHorizonAstrophysics::High Energy Astrophysical PhenomenaDark matterComputer Science::Neural and Evolutionary ComputationFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Quantum number01 natural sciences7. Clean energyAccretion (astrophysics)General Relativity and Quantum CosmologyGravitationHigh Energy Physics - Theory (hep-th)Quantum mechanics0103 physical sciencesBosonic field010306 general physicsAstrophysics - High Energy Astrophysical Phenomena
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Functional and local renormalization groups

2015

We discuss the relation between functional renormalization group (FRG) and local renormalization group (LRG), focussing on the two dimensional case as an example. We show that away from criticality the Wess-Zumino action is described by a derivative expansion with coefficients naturally related to RG quantities. We then demonstrate that the Weyl consistency conditions derived in the LRG approach are equivalent to the RG equation for the $c$-function available in the FRG scheme. This allows us to give an explicit FRG representation of the Zamolodchikov-Osborn metric, which in principle can be used for computations.

PhysicsHigh Energy Physics - TheoryNuclear and High Energy PhysicsFOS: Physical sciencesFunction (mathematics)General Relativity and Quantum Cosmology (gr-qc)Renormalization groupCondensed Matter::Disordered Systems and Neural NetworksAction (physics)General Relativity and Quantum CosmologyRenormalizationHigh Energy Physics - Theory (hep-th)Scheme (mathematics)Theoretical High Energy PhysicsMetric (mathematics)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFunctional renormalization groupRepresentation (mathematics)Mathematical physics
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High-frequency vibrational density of states of a disordered solid.

2013

We investigate the high-frequency behavior of the density of vibrational states in three-dimensional elasticity theory with spatially fluctuating elastic moduli. At frequencies well above the mobility edge, instanton solutions yield an exponentially decaying density of states. The instanton solutions describe excitations, which become localized due to the disorder-induced fluctuations, which lower the sound velocity in a finite region compared to its average value. The exponentially decaying density of states (known in electronic systems as the Lifshitz tail) is governed by the statistics of a fluctuating-elasticity landscape, capable of trapping the vibrational excitations.

PhysicsInstantonYield (engineering)Condensed matter physicsFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)TrappingCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsVibrational density of statesDensity of statesGeneral Materials ScienceElastic modulusElectronic systemsJournal of physics. Condensed matter : an Institute of Physics journal
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Fluctuations in mesoscopic systems

1992

Abstract Electronic wavefunctions in weakly disordered systems have been studied within the Anderson model of localization. The eigenstates calculated by means of the Lanczos diagonalization algorithm display characteristic spatial fluctuations that can be described by a multifractal analysis. For increasing disorder or energy the observed curdling of the wavefunction reflects the stronger localization, but no exponential decay can be observed. This is reflected in the set of generalized fractal dimensions and the singularity spectrum of the fractal measure.

PhysicsLanczos resamplingMesoscopic physicsFractalGeneral Chemical EngineeringQuantum mechanicsGeneral Physics and AstronomyMultifractal systemExponential decaySingularity spectrumCondensed Matter::Disordered Systems and Neural NetworksAnderson impurity modelFractal dimensionPhilosophical Magazine B
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Noise enhanced stability in magnetic systems

2009

In this paper noise enhanced stability in magnetic systems is studied by both an Ising-type model and a Preisach–Arrhenius model as well as a dynamic Preisach model. It is shown that in one nonequilibrium Ising system noise enhanced stability occurs and that dynamic Preisach model has the capability to predict the occurrence of noise enhanced stability in magnetic systems. On the contrary, in a Preisach–Arrhenius model of a single quadrant magnetic material, noise enhanced stability is not detected.

PhysicsMagnetic noiseCondensed matter physicsIsing systemGeneral Physics and AstronomyNon-equilibrium thermodynamicsSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciCondensed Matter::Disordered Systems and Neural NetworksElectric Machines Power Systems Electric TechnologyMagnetizationMagnetCondensed Matter::Statistical MechanicsIsing modelStatistical physics
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Improved Neural Networks with Random Weights for Short-Term Load Forecasting.

2015

An effective forecasting model for short-term load plays a significant role in promoting the management efficiency of an electric power system. This paper proposes a new forecasting model based on the improved neural networks with random weights (INNRW). The key is to introduce a weighting technique to the inputs of the model and use a novel neural network to forecast the daily maximum load. Eight factors are selected as the inputs. A mutual information weighting algorithm is then used to allocate different weights to the inputs. The neural networks with random weights and kernels (KNNRW) is applied to approximate the nonlinear function between the selected inputs and the daily maximum load…

PhysicsMathematical optimizationMultidisciplinaryArtificial neural networkGeneralizationlcsh:Rlcsh:MedicineA-weightingMutual informationWeightingSupport vector machineElectric power systemKernel methodElectric Power SuppliesNonlinear Dynamicslcsh:QNeural Networks Computerlcsh:ScienceAlgorithmsResearch ArticlePLoS ONE
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Coherent potential approximation for diffusion and wave propagation in topologically disordered systems

2013

Using Gaussian integral transform techniques borrowed from functional-integral field theory and the replica trick we derive a version of the coherent-potential approximation (CPA) suited for describing ($i$) the diffusive (hopping) motion of classical particles in a random environment and ($ii$) the vibrational properties of materials with spatially fluctuating elastic coefficients in topologically disordered materials. The effective medium in the present version of the CPA is not a lattice but a homogeneous and isotropic medium, representing an amorphous material on a mesoscopic scale. The transition from a frequency-independent to a frequency-dependent diffusivity (conductivity) is shown …

PhysicsMesoscopic physicsWave propagationGaussianIsotropyFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksElectronic Optical and Magnetic Materialssymbols.namesakeQuantum mechanicsGaussian integralsymbolsCoherent potential approximationStatistical physicsRayleigh scatteringReplica trick
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Localization-delocalization transition for disordered cubic harmonic lattices.

2012

We study numerically the disorder-induced localization-delocalization phase transitions that occur for mass and spring constant disorder in a three-dimensional cubic lattice with harmonic couplings. We show that, while the phase diagrams exhibit regions of stable and unstable waves, the universality of the transitions is the same for mass and spring constant disorder throughout all the phase boundaries. The combined value for the critical exponent of the localization lengths of $\nu = 1.550^{+0.020}_{-0.017}$ confirms the agreement with the universality class of the standard electronic Anderson model of localization. We further support our investigation with studies of the density of states…

PhysicsModels MolecularPhase transitionCondensed matter physicsMolecular ConformationFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksRenormalization groupCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksPhase TransitionUniversality (dynamical systems)Models ChemicalDensity of statesGeneral Materials ScienceComputer SimulationWave functionCritical exponentAnderson impurity modelPhase diagramJournal of physics. Condensed matter : an Institute of Physics journal
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Computer simulation of models for the structural glass transition

2008

In order to test theoretical concepts on the glass transition, we investigate several models of glassy materials by means of Monte Carlo (MC) and Molecular Dynamics (MD) computer simulations. It is shown that also simplified models exhibit a glass transition which is in qualitative agreement with experiment and that thus such models are useful to study this phenomenon. However, the glass transition temperture as well as the structural properties of the frozen-in glassy phase depend strongly on the cooling history, and the extrapolation to the limit of infinitely slow cooling velocity is nontrivial, which makes the identification of the (possible) underlying equilibrium transition very diffi…

PhysicsMolecular dynamicsSlow coolingPhase (matter)Monte Carlo methodEnthalpyExtrapolationThermodynamicsLimit (mathematics)Statistical physicsGlass transitionCondensed Matter::Disordered Systems and Neural Networks
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