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RESEARCH PRODUCT
Anomalous transport effects on switching currents of graphene-based Josephson junctions
Bernardo SpagnoloBernardo SpagnoloGiovanni FilatrellaVincenzo PierroClaudio GuarcelloDavide Valentisubject
DYNAMICSJosephson effectJosephson junctionsGaussianFOS: Physical sciencesgraphemeBioengineering01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della Materia010305 fluids & plasmaslaw.inventionsymbols.namesakelawJosephson junction0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)Graphene; Josephson junctions; Levy processes; Non-thermal noise; Bioengineering; Chemistry (all); Materials Science (all); Mechanics of Materials; Mechanical Engineering; Electrical and Electronic EngineeringMechanics of MaterialGeneral Materials ScienceElectrical and Electronic Engineering010306 general physicsPhysicsSuperconductivityLevy processesCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsGrapheneMechanical EngineeringSTABLE RANDOM-VARIABLESChemistry (all)Non-thermal noiseBiasingGeneral ChemistryGraphene; Josephson junctions; Levy processes; Non-thermal noise; STABLE RANDOM-VARIABLES; DYNAMICSLevy processeMechanics of MaterialsPhysics - Data Analysis Statistics and ProbabilitysymbolsProbability distributionMaterials Science (all)GrapheneTransport phenomenaData Analysis Statistics and Probability (physics.data-an)description
We explore the effect of noise on the ballistic graphene-based small Josephson junctions in the framework of the resistively and capacitively shunted model. We use the non-sinusoidal current-phase relation specific for graphene layers partially covered by superconducting electrodes. The noise induced escapes from the metastable states, when the external bias current is ramped, give the switching current distribution, i.e. the probability distribution of the passages to finite voltage from the superconducting state as a function of the bias current, that is the information more promptly available in the experiments. We consider a noise source that is a mixture of two different types of processes: a Gaussian contribution to simulate an uncorrelated ordinary thermal bath, and non-Gaussian, $\alpha$-stable (or L\'evy) term, generally associated to non-equilibrium transport phenomena. We find that the analysis of the switching current distribution makes it possible to efficiently detect a non-Gaussian noise component in a Gaussian background.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-01-01 |