Search results for "Statistical Mechanic"

showing 10 items of 707 documents

Stochastic sampling effects favor manual over digital contact tracing.

2020

Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual reconstruction of contacts based on interviews and a digital (app-based) privacy-preserving contact tracing. We compare their effectiveness using model parameters tailored to describe SARS-CoV-2 diffusion within the activity-driven model, a general empirically validated framework for network dynamics. We show that, even for equal probability of tracing a contact, manual tracing robustly performs better than the digital protocol, also taking into accou…

0301 basic medicinePhysics - Physics and SocietyComputer scienceEpidemiologyScienceComplex networksFOS: Physical sciencesGeneral Physics and AstronomyPhysics and Society (physics.soc-ph)Tracingcomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyArticleSpecimen Handling03 medical and health sciences0302 clinical medicineHumans030212 general & internal medicineQuantitative Biology - Populations and EvolutionPandemicsCondensed Matter - Statistical Mechanicsstochastic modelProtocol (science)Stochastic ProcessesMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)Stochastic processDiagnostic Tests RoutineSARS-CoV-2QPopulations and Evolution (q-bio.PE)Sampling (statistics)COVID-19General ChemistryComplex networkModels TheoreticalNetwork dynamics030104 developmental biologyFOS: Biological sciencesScalabilityQuarantineData miningContact TracingcomputerContact tracingAlgorithmsNature communications
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Uhlmann number in translational invariant systems

2019

We define the Uhlmann number as an extension of the Chern number, and we use this quantity to describe the topology of 2D translational invariant Fermionic systems at finite temperature. We consider two paradigmatic systems and we study the changes in their topology through the Uhlmann number. Through the linear response theory we linked two geometrical quantities of the system, the mean Uhlmann curvature and the Uhlmann number, to directly measurable physical quantities, i.e. the dynamical susceptibility and to the dynamical conductivity, respectively.

0301 basic medicineSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciMathematics::Analysis of PDEsFOS: Physical scienceslcsh:MedicineCurvatureArticleCondensed Matter - Strongly Correlated Electrons03 medical and health sciences0302 clinical medicineTopological insulatorsInvariant (mathematics)lcsh:ScienceCondensed Matter - Statistical MechanicsMathematicsMathematical physicsPhysical quantityQuantum PhysicsMultidisciplinaryChern classStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)lcsh:RUhlmann number Chern number 2D topological Fermionic systems finite temperature dynamical susceptibility dynamical conductivity030104 developmental biologylcsh:QQuantum Physics (quant-ph)Theoretical physicsLinear response theory030217 neurology & neurosurgeryScientific Reports
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Retrieving infinite numbers of patterns in a spin-glass model of immune networks

2013

The similarity between neural and immune networks has been known for decades, but so far we did not understand the mechanism that allows the immune system, unlike associative neural networks, to recall and execute a large number of memorized defense strategies {\em in parallel}. The explanation turns out to lie in the network topology. Neurons interact typically with a large number of other neurons, whereas interactions among lymphocytes in immune networks are very specific, and described by graphs with finite connectivity. In this paper we use replica techniques to solve a statistical mechanical immune network model with `coordinator branches' (T-cells) and `effector branches' (B-cells), a…

0301 basic medicineSimilarity (geometry)Spin glassComputer sciencestatistical mechanicFOS: Physical sciencesGeneral Physics and AstronomyNetwork topologyTopology01 natural sciencesQuantitative Biology::Cell Behavior03 medical and health sciencesCell Behavior (q-bio.CB)0103 physical sciencesattractor neural-networks; statistical mechanics; brain networks; Physics and Astronomy (all)Physics - Biological Physics010306 general physicsAssociative propertybrain networkArtificial neural networkMechanism (biology)ErgodicityDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksAcquired immune system030104 developmental biologyBiological Physics (physics.bio-ph)FOS: Biological sciencesattractor neural-networkQuantitative Biology - Cell Behavior
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Casimir-Lifshitz force out of thermal equilibrium between dielectric gratings

2014

We calculate the Casimir-Lifshitz pressure in a system consisting of two different 1D dielectric lamellar gratings having two different temperatures and immersed in an environment having a third temperature. The calculation of the pressure is based on the knowledge of the scattering operators, deduced using the Fourier Modal Method. The behavior of the pressure is characterized in detail as a function of the three temperatures of the system as well as the geometrical parameters of the two gratings. We show that the interplay between non-equilibrium effects and geometrical periodicity offers a rich scenario for the manipulation of the force. In particular, we find regimes where the force can…

ACS number(s): 12.20.−m42.79.Dj42.50.Ct42.50.Lc[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]Degrees of freedom (physics and chemistry)Non-equilibrium thermodynamicsFOS: Physical sciencesDielectricCasimir Force Out of Thermal equilibrium systems GratingsSettore FIS/03 - Fisica Della Materiasymbols.namesake[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Lamellar structure[PHYS.COND.CM-SM]Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]PhysicsThermal equilibriumQuantum PhysicsCondensed matter physicsScatteringAtomic and Molecular Physics and OpticsCasimir effectFourier transformClassical mechanicssymbolsQuantum Physics (quant-ph)Physics - OpticsOptics (physics.optics)
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Electronic signature of the instantaneous asymmetry in the first coordination shell of liquid water

2013

Interpretation of the X-ray spectra of water as evidence for its asymmetric structure has challenged the conventional symmetric nearly-tetrahedral model and initiated an intense debate about the order and symmetry of the hydrogen bond network in water. Here, we present new insights into the nature of local interactions in water obtained using a novel energy decomposition method. Our simulations reveal that while a water molecule forms, on average, two strong donor and two strong acceptor bonds, there is a significant asymmetry in the energy of these contacts. We demonstrate that this asymmetry is a result of small instantaneous distortions of hydrogen bonds, which appear as fluctuations on …

Absorption spectroscopymedia_common.quotation_subjectShell (structure)FOS: Physical sciencesGeneral Physics and AstronomyCondensed Matter - Soft Condensed Matter010402 general chemistry01 natural sciencesAsymmetryMolecular physicsGeneral Biochemistry Genetics and Molecular BiologySpectral linePhysics - Chemical Physics0103 physical sciencesMoleculeCondensed Matter - Statistical Mechanicsmedia_commonChemical Physics (physics.chem-ph)PhysicsMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)010304 chemical physicsHydrogen bondGeneral ChemistryComputational Physics (physics.comp-ph)AcceptorSymmetry (physics)0104 chemical sciencesCondensed Matter - Other Condensed MatterSoft Condensed Matter (cond-mat.soft)Physics - Computational PhysicsOther Condensed Matter (cond-mat.other)
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Statistical Mechanics of the sine-Gorden Field: Part II

1985

From the work of the Part I we are now in a position to address ourselves to the main problem posed in these lectures — the evaluation of Z, (1.11), for the s-G field after canonical transformation to the action-angle variables (4.27).

AlgebraPoisson bracketField (physics)Position (vector)Canonical transformationStatistical mechanicsSineClassical limitMathematics
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The Dynamical Problem for a Non Self-adjoint Hamiltonian

2012

After a compact overview of the standard mathematical presentations of the formalism of quantum mechanics using the language of C*- algebras and/or the language of Hilbert spaces we turn attention to the possible use of the language of Krein spaces.I n the context of the so-called three-Hilbert-space scenario involving the so-called PT-symmetric or quasi- Hermitian quantum models a few recent results are reviewed from this point of view, with particular focus on the quantum dynamics in the Schrodinger and Heisenberg representations.

AlgebraQuantum probabilityTheoretical physicsQuantization (physics)symbols.namesakeQuantum dynamicsQuantum operationsymbolsMethod of quantum characteristicsSupersymmetric quantum mechanicsQuantum statistical mechanicsSchrödinger's catMathematics
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Finite-size scaling of charge carrier mobility in disordered organic semiconductors

2016

Simulations of charge transport in amorphous semiconductors are often performed in microscopically sized systems. As a result, charge carrier mobilities become system-size dependent. We propose a simple method for extrapolating a macroscopic, nondispersive mobility from the system-size dependence of a microscopic one. The method is validated against a temperature-based extrapolation [A. Lukyanov and D. Andrienko, Phys. Rev. B 82, 193202 (2010)]. In addition, we provide an analytic estimate of system sizes required to perform nondispersive charge transport simulations in systems with finite charge carrier density, derived from a truncated Gaussian distribution. This estimate is not limited t…

Amorphous semiconductorsCondensed Matter - Materials ScienceMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsCharge carrier mobilityGaussianExtrapolationMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciences02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesOrganic semiconductorsymbols.namesakeLattice (order)0103 physical sciencessymbolsCharge carrier010306 general physics0210 nano-technologyScalingCondensed Matter - Statistical MechanicsPhysical Review B
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Error estimation and reduction with cross correlations

2010

Besides the well-known effect of autocorrelations in time series of Monte Carlo simulation data resulting from the underlying Markov process, using the same data pool for computing various estimates entails additional cross correlations. This effect, if not properly taken into account, leads to systematically wrong error estimates for combined quantities. Using a straightforward recipe of data analysis employing the jackknife or similar resampling techniques, such problems can be avoided. In addition, a covariance analysis allows for the formulation of optimal estimators with often significantly reduced variance as compared to more conventional averages.

Analysis of covarianceStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodHigh Energy Physics - Lattice (hep-lat)EstimatorFOS: Physical sciencesMarkov chain Monte CarloHybrid Monte Carlosymbols.namesakeHigh Energy Physics - LatticeResamplingStatisticssymbolsJackknife resamplingCondensed Matter - Statistical MechanicsMathematicsMonte Carlo molecular modeling
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Unconventional phases of attractive Fermi gases in synthetic Hall ribbons

2017

An innovative way to produce quantum Hall ribbons in a cold atomic system is to use M hyperfine states of atoms in a one-dimensional optical lattice to mimic an additional "synthetic dimension." A notable aspect here is that the SU(M) symmetric interaction between atoms manifests as "infinite ranged" along the synthetic dimension. We study the many-body physics of fermions with SU(M) symmetric attractive interactions in this system using a combination of analytical field theoretic and numerical density-matrix renormalization-group methods. We uncover the rich ground-state phase diagram of the system, including unconventional phases such as squished baryon fluids, shedding light on many-body…

AtomsHyperfine stateField (physics)One dimensional optical latticeGround statePhase separationQuantum Hall effectHadronsGround state phase diagram01 natural sciencesAttractive interactions010305 fluids & plasmasSuperfluidityHall effectQuantum mechanicsShedding light0103 physical sciencesddc:530010306 general physicsFermionsQuantumWave functionsPhysicsOptical latticeCondensed matter physicsFermionFermionic systemsElectron gasOptical latticesQuantum theoryDewey Decimal Classification::500 | Naturwissenschaften::530 | PhysikNumerical methodsFermi gasDensity matrix renormalization group methodsStatistical mechanicsPairing correlations
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