Search results for "EURA"

showing 10 items of 3336 documents

The enhancement of ferromagnetism in uniaxially stressed diluted magnetic semiconductors

2003

We predict a new mechanism of enhancement of ferromagnetic phase transition temperature $T_c$ in uniaxially stressed diluted magnetic semiconductors (DMS) of p-type. Our prediction is based on comparative studies of both Heisenberg (inherent to undistorted DMS with cubic lattice) and Ising (which can be applied to strongly enough stressed DMS) models in a random field approximation permitting to take into account the spatial inhomogeneity of spin-spin interaction. Our calculations of phase diagrams show that area of parameters for existence of DMS-ferromagnetism in Ising model is much larger than that in Heisenberg model.

Condensed Matter - Materials SciencePhase transition temperatureMaterials scienceCondensed matter physicsHeisenberg modelMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Magnetic semiconductorCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter::Materials ScienceFerromagnetismLattice (order)Ising modelCondensed Matter::Strongly Correlated ElectronsComputer Science::DatabasesPhase diagram
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Optical properties of Ge-oxygen defect center embedded in silica films

2007

The photo-luminescence features of Ge-oxygen defect centers in a 100nm thick Ge-doped silica film on a pure silica substrate were investigated by looking at the emission spectra and time decay detected under synchrotron radiation excitation in the 10-300 K temperature range. This center exhibits two luminescence bands centered at 4.3eV and 3.2eV associated with its de-excitation from singlet (S1) and triplet (T1) states, respectively, that are linked by an intersystem crossing process. The comparison with results obtained from a bulk Ge-doped silica sample evidences that the efficiency of the intersystem crossing rate depends on the properties of the matrix embedding the Ge-oxygen defect ce…

Condensed Matter - Materials SciencePhotoluminescenceGermaniumSputteringOptical spectroscopyDefectsAbsorptionLuminescenceGermaniaSilicaDopingMaterials Science (cond-mat.mtrl-sci)FOS: Physical scienceschemistry.chemical_elementGermaniumDisordered Systems and Neural Networks (cond-mat.dis-nn)Atmospheric temperature rangeCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsPhotochemistryMolecular physicsElectronic Optical and Magnetic MaterialsCondensed Matter::Materials ScienceIntersystem crossingchemistryMaterials ChemistryCeramics and CompositesSinglet stateTriplet stateLuminescence
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Anderson localization: 2-D system in an external magnetic field

2008

The analytical approach developed by us for the calculation of the phase diagram for the Anderson localization via disorder [J.Phys.: Condens. Matter 14, 13777 (2002)] is generalized here to the case of a strong magnetic field when $q$ subbands ($q=1,2,3$) arise. It is shown that in a line with the generally accepted point of view, each subband is characterized by a critical point with a divergent localization length $\xi$ which reveals anomaly in energy and disorder parameters. These critical points belong to the phase coexistence area which cannot be interpreted by means of numerical investigations. The reason for this is a logical incompleteness of the algorithm used for analysis of a co…

Condensed Matter - Mesoscale and Nanoscale PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks
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Reply to Comment on "Exact analytic solution for the generalized Lyapunov exponent of the 2-dimensional Anderson localization"

2004

We reply to comments by P.Marko$\breve{s}$, L.Schweitzer and M.Weyrauch [preceding paper] on our recent paper [J. Phys.: Condens. Matter 63, 13777 (2002)]. We demonstrate that our quite different viewpoints stem for the different physical assumptions made prior to the choice of the mathematical formalism. The authors of the Comment expect \emph{a priori} to see a single thermodynamic phase while our approach is capable of detecting co-existence of distinct pure phases. The limitations of the transfer matrix techniques for the multi-dimensional Anderson localization problem are discussed.

Condensed Matter - Mesoscale and Nanoscale PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks
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On the Sign Problem of the Fermionic Shadow Wave Function

2014

We present a whole series of novel methods to alleviate the sign problem of the Fermionic Shadow Wave Function in the context of Variational Monte Carlo. The effectiveness of our new techniques is demonstrated on the example of liquid 3He. We found that although the variance is substantially reduced, the gain in efficiency is restricted by the increased computational cost. Yet, this development not only extends the scope of the Fermionic Shadow Wave Function, but also facilitates highly accurate Quantum Monte Carlo simulations previously thought not feasible.

Condensed Matter - Strongly Correlated ElectronsQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Computational Physics (physics.comp-ph)Condensed Matter - Disordered Systems and Neural NetworksQuantum Physics (quant-ph)Physics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Organization and evolution of synthetic idiotypic networks

2012

We introduce a class of weighted graphs whose properties are meant to mimic the topological features of idiotypic networks, namely the interaction networks involving the B-core of the immune system. Each node is endowed with a bit-string representing the idiotypic specificity of the corresponding B cell and a proper distance between any couple of bit-strings provides the coupling strength between the two nodes. We show that a biased distribution of the entries in bit-strings can yield fringes in the (weighted) degree distribution, small-worlds features, and scaling laws, in agreement with experimental findings. We also investigate the role of ageing, thought of as a progressive increase in …

Condensed Matter Physics; Statistical and Nonlinear Physics; Statistics and ProbabilityTime FactorsTime FactorDistribution (number theory)Molecular Networks (q-bio.MN)FOS: Physical sciencesBit arrayThermodynamicComputer GraphicsCluster AnalysisHumansQuantitative Biology - Molecular NetworksMathematicsDiscrete mathematicsB-LymphocytesCluster AnalysiDegree (graph theory)Percolation (cognitive psychology)B-LymphocyteModels ImmunologicalGraph theoryDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputer GraphicDegree distributionFOS: Biological sciencesImmune SystemCore (graph theory)ThermodynamicsNode (circuits)Human
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Description of hysteresis of Nickel Metal Hydride Battery

2012

A Dynamic Preisach Model for the description of the hysteresis in Nickel Metal Hydride Battery is presented. Both the hysteresis and the dynamical features of charging and discharging cycles are described. The identification of the model is obtained by using a neural network technique developed for magnetic systems. The model is validated by some experimental tests on commercial batteries.

Condensed Matter::Materials ScienceHysteresisNickelNickel–metal hydride batteryMaterials scienceENERGY BATTERYSettore ING-IND/11 - Fisica Tecnica AmbientaleArtificial neural networkchemistryMetallurgyMechanical engineeringchemistry.chemical_elementSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici
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Neutrons detect order in glasses

2005

The first glassy material was probably made in ancient Egypt some 4500 years ago, so the fact that the structure of glass is still one of the biggest puzzles in physics may come as a surprise. When a liquid is cooled very quickly, the atoms do not have time to arrange themselves into an ordered crystalline solid. Instead, the super cooled liquid falls out of equilibrium and into a disordered amorphous network, more commonly known as a glass.

Condensed Matter::Soft Condensed MatterAncient egyptMaterials scienceCondensed matter physicsOrder (business)General Physics and AstronomyNeutronCondensed Matter::Disordered Systems and Neural NetworksAmorphous solidPhysics World
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Radiation Effects on Silica-Based Preforms and Optical Fibers - II: Coupling Ab Initio Simulations and Experiments

2008

International audience; Both experimental and theoretical approaches are combined to study the nature of precursor sites and radiation-induced point defects in pure and germanium-doped amorphous silica-based glasses.

Condensed Matter::Soft Condensed MatterCondensed Matter::Materials Science[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]silica optical fibers radiation effectsCondensed Matter::Disordered Systems and Neural Networks
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Theory of glass transition in spin glasses, orientational glasses and structural glasses

2008

Theoretical concepts about the glass transition are briefly reviewed, and the test of these ideas by Monte Carlo simulations of simple lattice models is described, with an emphasis on isotropic and anisotropic orientational glasses, and the bond fluctuation model of polymer melts. It is suggested that orientational glasses do have an equilibrium phase transition at zero temperature (in d = 3 dimensions!) only, in contrast to the Ising spin glass which orders at nonzero temperature. A diverging glass correlation length is identified that is responsible for the anomalous slowing down. For the Potts glass, the divergence seems to be exponential, implying that the model is at its lower critical…

Condensed Matter::Soft Condensed MatterMaterials scienceSpin glassCondensed matter physicsLattice (order)Monte Carlo methodIsotropyConfiguration entropyOrder and disorderAnisotropyGlass transitionCondensed Matter::Disordered Systems and Neural Networks
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