460 research outputs found

    Djelovanje TMB-4 na akutno letalno trovanje miševa antikolinesterazama

    Get PDF
    Poziomek, Hackley and Steinberg (1958) and, independently, Hobbiger, O\u27Sullivan and Sadler (1958) have recently described a series of NN\u27-polymethylenebis(4-hydroxyiminomethyl-pyridinium) compounds, which are potent reactivators of cholinesterases inhibited by organophosphate antichobinesterases. The most effective compound in this series NN\u27-trimethylenebis( 4-hydroxyimino-methyl-pyridinium bromide) (TMB-4) was reported to be an effective agent in protecting animals from the lethal poisoning by methylphosphorofluoridate (SARIN), DFP and TEPP (Bay, Krop and Yates, 1958; Berry, Davies and Green, 1959; Hobbig er and Sadler, 1959). In this paper additional experiments are described, carried out to estimate the antagonism of TMB-4 toward some other organo-P-compounds. A number of specific nonphosphorus anticholinesterases are included as well.TMB-4 pokazao se uspješnim u zaštiti miševa, koji su otrovani Ietalnim dozama paraoksona, parationa, metasistoksa, neostigmina, eserina, a djelomično i R0-2-1250, dimefoksa i ditereksa. Njegovo djelovanje, međutim, ne pruža dovoljnu zaštitu miševa otrovanih OMPA-om i BW284C51

    Vortex manipulation in a superconducting matrix with view on applications

    Full text link
    We show how a single flux quantum can be effectively manipulated in a superconducting film with a matrix of blind holes. Such a sample can serve as a basic memory element, where the position of the vortex in a [k x l] matrix of pinning sites defines the desired combination of n bits of information (2^n=k*l). Vortex placement is achieved by strategically applied current and the resulting position is read-out via generated voltage between metallic contacts on the sample. Such a device can also act as a controllable source of a nanoengineered local magnetic field for e.g. spintronics applications

    Soft vortex matter in a type-I/type-II superconducting bilayer

    Full text link
    Magnetic flux patterns are known to strongly differ in the intermediate state of type-I and type-II superconductors. Using a type-I/type-II bilayer we demonstrate hybridization of these flux phases into a plethora of unique new ones. Owing to a complicated multi-body interaction between individual fluxoids, many different intriguing patterns are possible under applied magnetic field, such as few-vortex clusters, vortex chains, mazes or labyrinthal structures resembling the phenomena readily encountered in soft matter physics. However, in our system the patterns are tunable by sample parameters, magnetic field, current and temperature, which reveals transitions from short-range clustering to long-range ordered phases such as parallel chains, gels, glasses and crystalline vortex lattices, or phases where lamellar type-I flux domains in one layer serve as a bedding potential for type-II vortices in the other - configurations clearly beyond the soft-matter analogy

    Topological phase transitions in small mesoscopic chiral p-wave superconductors

    Full text link
    Spin-triplet chiral p-wave superconductivity is typically described by a two-component order parameter, and as such is prone to unique emergent effects when compared to the standard single-component superconductors. Here we present the equilibrium phase diagram for small mesoscopic chiral p-wave superconducting disks in the presence of magnetic field, obtained by solving the microscopic Bogoliubov-de Gennes equations self-consistently. In the ultra-small limit, the cylindrically-symmetric giant-vortex states are the ground state of the system. However, with increasing sample size, the cylindrical symmetry is broken as the two components of the order parameter segregate into domains, and the number of fragmented domain walls between them characterizes the resulting states. Such domain walls are topological defects unique for the p-wave order, and constitute a dominant phase in the mesoscopic regime. Moreover, we find two possible types of domain walls, identified by their chirality-dependent interaction with the edge states

    Vortex-antivortex nucleation in magnetically nanotextured superconductors: Magnetic-field-driven and thermal scenarios

    Full text link
    Within the Ginzburg-Landau formalism, we predict two novel mechanisms of vortex-antivortex nucleation in a magnetically nanostructured superconductor. Although counterintuitive, nucleation of vortex-antivortex pairs can be activated in a superconducting (SC) film covered by arrays of submicron ferromagnets (FMs) when exposed to an external homogeneous magnetic field. In another scenario, we predict the thermal induction of vortex-antivortex configurations in SC/FM samples. This phenomenon leads to a new type of Little-Parks oscillations of the FM magnetization-temperature phase boundary of the superconducting film.Comment: 4 pages, 5 figures, to appear in Physical Review Letter

    Electronic properties of emergent topological defects in chiral pp-wave superconductivity

    Full text link
    Chiral pp-wave superconductors in applied magnetic field can exhibit more complex topological defects than just conventional superconducting vortices, due to the two-component order parameter (OP) and the broken time-reversal symmetry. We investigate the electronic properties of those exotic states, some of which contain clusters of one-component vortices in chiral components of the OP and/or exhibit skyrmionic character in the \textit{relative} OP space, all obtained as a self-consistent solution of the microscopic Bogoliubov-de Gennes equations. We reveal the link between the local density of states (LDOS) of the novel topological states and the behavior of the chiral domain wall between the OP components, enabling direct identification of those states in scanning tunneling microscopy. For example, a skyrmion always contains a closed chiral domain wall, which is found to be mapped exactly by zero-bias peaks in LDOS. Moreover, the LDOS exhibits electron-hole asymmetry, which is different from the LDOS of conventional vortex states with the same vorticity. Finally, we present the magnetic field and temperature dependence of the properties of a skyrmion, indicating that this topological defect can be surprisingly large in size, and can be pinned by an artificially indented non-superconducting closed path in the sample. These features are expected to facilitate the experimental observation of skyrmionic states, thereby enabling experimental verification of chirality in emerging superconducting materials

    Boosting Monte Carlo simulations of spin glasses using autoregressive neural networks

    Full text link
    The autoregressive neural networks are emerging as a powerful computational tool to solve relevant problems in classical and quantum mechanics. One of their appealing functionalities is that, after they have learned a probability distribution from a dataset, they allow exact and efficient sampling of typical system configurations. Here we employ a neural autoregressive distribution estimator (NADE) to boost Markov chain Monte Carlo (MCMC) simulations of a paradigmatic classical model of spin-glass theory, namely the two-dimensional Edwards-Anderson Hamiltonian. We show that a NADE can be trained to accurately mimic the Boltzmann distribution using unsupervised learning from system configurations generated using standard MCMC algorithms. The trained NADE is then employed as smart proposal distribution for the Metropolis-Hastings algorithm. This allows us to perform efficient MCMC simulations, which provide unbiased results even if the expectation value corresponding to the probability distribution learned by the NADE is not exact. Notably, we implement a sequential tempering procedure, whereby a NADE trained at a higher temperature is iteratively employed as proposal distribution in a MCMC simulation run at a slightly lower temperature. This allows one to efficiently simulate the spin-glass model even in the low-temperature regime, avoiding the divergent correlation times that plague MCMC simulations driven by local-update algorithms. Furthermore, we show that the NADE-driven simulations quickly sample ground-state configurations, paving the way to their future utilization to tackle binary optimization problems.Comment: 13 pages, 14 figure

    Guided nucleation of superconductivity on a graded magnetic substrate

    Full text link
    We demonstrate the controlled spatial nucleation of superconductivity in a thin film deposited on periodic arrays of ferromagnetic dots with gradually increasing diameter. The perpendicular magnetization of the dots induces vortex-antivortex molecules in the sample, with the number of (anti)vortices increasing with magnet size. The resulting gradient of antivortex density between the dots predetermines local nucleation of superconductivity in the sample as a function of the applied external field and temperature. In addition, the compensation between the applied magnetic field and the antivortices results in an unprecedented enhancement of the critical temperature
    corecore