Search results for "MATTER"

showing 10 items of 16762 documents

Rhombi-chain Bose-Hubbard model: Geometric frustration and interactions

2018

We explore the effects of geometric frustration within a one-dimensional Bose-Hubbard model using a chain of rhombi subject to a magnetic flux. The competition of tunnelling, self-interaction and magnetic flux gives rise to the emergence of a pair-superfluid (pair-Luttinger liquid) phase besides the more conventional Mott-insulator and superfluid (Luttinger liquid) phases. We compute the complete phase diagram of the model by identifying characteristic properties of the pair-Luttinger liquid phase such as pair correlation functions and structure factors and find that the pair-Luttinger liquid phase is very sensitive to changes away from perfect frustration (half-flux). We provide some propo…

media_common.quotation_subject/dk/atira/pure/subjectarea/asjc/2500/2504FOS: Physical sciencesFrustration02 engineering and technologyQuantum entanglementBose–Hubbard model01 natural sciencesSuperfluidityCondensed Matter - Strongly Correlated ElectronsLuttinger liquidPhase (matter)Quantum mechanics0103 physical sciences010306 general physicsPhase diagrammedia_commonPhysicsCondensed Matter::Quantum GasesQuantum PhysicsStrongly Correlated Electrons (cond-mat.str-el)/dk/atira/pure/subjectarea/asjc/3100/3104021001 nanoscience & nanotechnologyCondensed Matter PhysicsMagnetic fluxElectronic Optical and Magnetic MaterialsQuantum Gases (cond-mat.quant-gas)Condensed Matter::Strongly Correlated ElectronsQuantum Physics (quant-ph)Condensed Matter - Quantum Gases0210 nano-technology
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Robustness of asymmetry and coherence of quantum states

2016

Quantum states may exhibit asymmetry with respect to the action of a given group. Such an asymmetry of states can be considered as a resource in applications such as quantum metrology, and it is a concept that encompasses quantum coherence as a special case. We introduce explicitly and study the robustness of asymmetry, a quantifier of asymmetry of states that we prove to have many attractive properties, including efficient numerical computability via semidefinite programming, and an operational interpretation in a channel discrimination context. We also introduce the notion of asymmetry witnesses, whose measurement in a laboratory detects the presence of asymmetry. We prove that properly c…

media_common.quotation_subjectFOS: Physical sciencesContext (language use)01 natural sciencesAsymmetry010305 fluids & plasmasRobustness (computer science)Quantum stateQuantum mechanics0103 physical sciencesQuantum metrologyStatistical physics010306 general physicsQuantumMathematical PhysicsQCmedia_commonPhysicsQuantum PhysicsMathematical Physics (math-ph)Coherence (statistics)Computational Physics (physics.comp-ph)Condensed Matter - Other Condensed MatterSpectral asymmetryQuantum Physics (quant-ph)Physics - Computational PhysicsOther Condensed Matter (cond-mat.other)Physical Review A
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Analysis of a viscoelastic phase separation model

2020

A new model for viscoelastic phase separation is proposed, based on a systematically derived conservative two-fluid model. Dissipative effects are included by phenomenological viscoelastic terms. By construction, the model is consistent with the second law of thermodynamics, and we study well-posedness of the model, i.e., existence of weak solutions, a weak-strong uniqueness principle, and stability with respect to perturbations, which are proven by means of relative energy estimates. A good qualitative agreement with mesoscopic simulations is observed in numerical tests.

media_common.quotation_subjectFOS: Physical sciencesSecond law of thermodynamics02 engineering and technologySpace (mathematics)01 natural sciencesStability (probability)ViscoelasticityMathematics - Analysis of PDEs0103 physical sciencesFOS: MathematicsGeneral Materials ScienceStatistical physicsUniqueness010306 general physicsMathematical Physicsmedia_commonPhysicsMesoscopic physicsDynamic structure factorMathematical Physics (math-ph)021001 nanoscience & nanotechnologyCondensed Matter PhysicsDissipative system0210 nano-technologyAnalysis of PDEs (math.AP)
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Random vibration mitigation of beams via tuned mass dampers with spring inertia effects

2019

The dynamics of beams equipped with tuned mass dampers is of considerable interest in engineering applications. Here, the purpose is to introduce a comprehensive framework to address the stochastic response of the system under stationary and non-stationary loads, considering inertia effects along the spring of every tuned mass damper applied to the beam. For this, the key step is to show that a tuned mass damper with spring inertia effects can be reverted to an equivalent external support, whose reaction force on the beam depends only on the deflection of the attachment point. On this basis, a generalized function approach provides closed analytical expressions for frequency and impulse res…

media_common.quotation_subjectSpring inertia effectStochastic response02 engineering and technologyInertia01 natural sciences0203 mechanical engineeringDeflection (engineering)Control theoryTuned mass damper0103 physical sciences010301 acousticsImpulse responsemedia_commonPhysicsGeneralized functionMechanical EngineeringBeamGeneralized functionCondensed Matter PhysicsTuned mass damper020303 mechanical engineering & transportsReactionMechanics of MaterialsRandom vibrationBeam (structure)
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Quantum memories with zero-energy Majorana modes and experimental constraints

2016

In this work we address the problem of realizing a reliable quantum memory based on zero-energy Majorana modes in the presence of experimental constraints on the operations aimed at recovering the information. In particular, we characterize the best recovery operation acting only on the zero-energy Majorana modes and the memory fidelity that can be therewith achieved. In order to understand the effect of such restriction, we discuss two examples of noise models acting on the topological system and compare the amount of information that can be recovered by accessing either the whole system, or the zero-modes only, with particular attention to the scaling with the size of the system and the e…

media_common.quotation_subjectZero-point energyMarkov processFidelityFOS: Physical sciences02 engineering and technologyTopology01 natural sciencessymbols.namesakeTheoretical physics0103 physical sciencesThermal010306 general physicsScalingQuantummedia_commonPhysicsQuantum PhysicsTOPOLOGICAL INSULATORS; ONE 2ND; FERMIONS; SUPERCONDUCTOR; COMPUTATION; SUPERFLUIDS; ANYONS021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsCondensed Matter - Other Condensed MatterMAJORANAsymbols0210 nano-technologyHamiltonian (quantum mechanics)Quantum Physics (quant-ph)Other Condensed Matter (cond-mat.other)
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Data from: Effects of large-scale releases on the genetic structure of red sea bream (Pagrus major, Temminck et Schlegel) populations in Japan

2016

[No abstract filled]

medicine and health careComputer Science::Programming LanguagesLife SciencesMedicineCondensed Matter::Strongly Correlated ElectronsCondensed Matter::Mesoscopic Systems and Quantum Hall Effect
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Pathophysiology of Grey Matter Affection in MS

2021

medicine.anatomical_structureComputer scienceAffectionmedia_common.quotation_subjectmedicineGrey matterNeurosciencePathophysiologymedia_common
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Influence of Grain Size, Oxygen Stoichiometry, and Synthesis Conditions on the γ-Fe2O3 Vacancies Ordering and Lattice Parameters

2002

The soft chemistry method has been used to synthesize γ-Fe2O3 nanoparticles: various synthesis temperature were applied to obtain nanometric powders with crystallite size in the 9–14 nm range. Powders were characterized by X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectrophotometry, surface area measurements, and electron microscopy (TEM, SEM). It is clearly shown that these nanometric powders are very well crystallized as indicated by XRD and IR spectra which present substructural bands attributed to vacancies ordering (P4132). Based on these model materials and in the crystallite size range studied here, cell parameter appears to be not linked to crystallite size. It rat…

medicine.diagnostic_testChemistryCrystal chemistryAnalytical chemistryNanoparticleInfrared spectroscopyCondensed Matter PhysicsGrain sizeSoft chemistryElectronic Optical and Magnetic MaterialsInorganic ChemistryCrystallographySpectrophotometryX-ray crystallographyMaterials ChemistryCeramics and CompositesmedicineCrystallitePhysical and Theoretical ChemistryJournal of Solid State Chemistry
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Evaluation of MRI and cannabinoid type 1 receptor PET templates constructed using DARTEL for spatial normalization of rat brains

2015

Purpose: Image registration is one prerequisite for the analysis of brain regions in magnetic-resonance-imaging (MRI) or positron-emission-tomography (PET) studies. Diffeomorphic anatomical registration through exponentiated Lie algebra (DARTEL) is a nonlinear, diffeomorphic algorithm for image registration and construction of image templates. The goal of this small animal study was (1) the evaluation of a MRI and calculation of several cannabinoid type 1 (CB1) receptor PET templates constructed using DARTEL and (2) the analysis of the image registration accuracy of MR and PET images to their DARTEL templates with reference to analytical and iterative PET reconstruction algorithms. Methods:…

medicine.diagnostic_testComputer sciencebusiness.industryImage registrationMagnetic resonance imagingPattern recognitionImage processingGeneral MedicineIterative reconstructionScintigraphyRegularization (mathematics)White mattermedicine.anatomical_structurePositron emission tomographyOrdered subset expectation maximizationSpatial normalizationmedicineMaximum a posteriori estimationTomographyArtificial intelligencebusinessNuclear medicineMedical Physics
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Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help?

2021

Abstract Inflammatory demyelination characterizes the initial stages of multiple sclerosis, while progressive axonal and neuronal loss are coexisting and significantly contribute to the long-term physical and cognitive impairment. There is an unmet need for a conceptual shift from a dualistic view of multiple sclerosis pathology, involving either inflammatory demyelination or neurodegeneration, to integrative dynamic models of brain reorganization, where, glia-neuron interactions, synaptic alterations and grey matter pathology are longitudinally envisaged at the whole-brain level. Functional and structural MRI can delineate network hallmarks for relapses, remissions or disease progression, …

medicine.diagnostic_testbusiness.industryAcademicSubjects/SCI01870Multiple sclerosisNeurodegenerationGeneral EngineeringneurodegenerationMagnetic resonance imagingDiseaseReview ArticleGrey mattermedicine.diseasemultiple sclerosisbrain networksPathophysiologyneuroinflammationmedicine.anatomical_structureImmune systemmedicineAcademicSubjects/MED00310demyelinationbusinessNeuroscienceNeuroinflammationBrain communications
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