5,456 research outputs found

    Combined Effect of Bond- and Potential-Disorder in Half-Doped Manganites

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    We analyze the effects of both bond- and potential-disorder in the vicinity of a first-order metal insulator transition in a two-band model for manganites using a real-space Monte Carlo method. Our results reveal a novel charge-ordered state coexisting with spin-glass behavior. We provide the basis for understanding the phase diagrams of half-doped manganites, and contrast the effects of bond- and potential-disorder and the combination of both.Comment: 4 pages, 3 figures, published versio

    Domain Formation and Orbital Ordering Transition in a Doped Jahn-Teller Insulator

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    The ground state of a double-exchange model for orbitally degenerate ege_g electrons with Jahn-Teller lattice coupling and weak disorder is found to be spatially inhomogeneous near half filling. Using a real space Monte-Carlo method we show that doping the half-filled orbitally ordered insulator leads to the appearance of hole-rich disordered regions in an orbitally ordered environment. The doping driven orbital order to disorder transition is accompanied by the emergence of metallic behavior. We present results on transport and optical properties along with spatial patterns for lattice distortions and charge densities, providing a basis for an overall understanding of the low doping phase diagram of La1x_{1-x}Cax_xMnO3_3.Comment: 4 pages, 3 figure

    Likelihood-based semi-supervised model selection with applications to speech processing

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    In conventional supervised pattern recognition tasks, model selection is typically accomplished by minimizing the classification error rate on a set of so-called development data, subject to ground-truth labeling by human experts or some other means. In the context of speech processing systems and other large-scale practical applications, however, such labeled development data are typically costly and difficult to obtain. This article proposes an alternative semi-supervised framework for likelihood-based model selection that leverages unlabeled data by using trained classifiers representing each model to automatically generate putative labels. The errors that result from this automatic labeling are shown to be amenable to results from robust statistics, which in turn provide for minimax-optimal censored likelihood ratio tests that recover the nonparametric sign test as a limiting case. This approach is then validated experimentally using a state-of-the-art automatic speech recognition system to select between candidate word pronunciations using unlabeled speech data that only potentially contain instances of the words under test. Results provide supporting evidence for the utility of this approach, and suggest that it may also find use in other applications of machine learning.Comment: 11 pages, 2 figures; submitted for publicatio

    Doped magnetic moments in a disordered electron system: insulator-metal transition, spin glass and `cmr'

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    Recent experiments on the amorphous magnetic semiconductor Gd_x Si_{1-x}, Phys. Rev. Lett. 77, 4652 (1996), ibid 83, 2266 (1999), ibid 84, 5411 (2000), ibid 85, 848 (2000), have revealed an insulator-metal transition (i-m-t), as a function of doping and magnetic field, a spin glass state at low temperature, and colossal magnetoresistance close to the i-m-t. There are also signatures of strong electron-electron interaction close to the i-m-t. Motivated by these results we examine the role of doped magnetic moments in a strongly disordered electron system. In this paper we study a model of electrons coupled to structural disorder and (classical) magnetic moments, through an essentially exact combination of spin Monte Carlo and fermion exact diagonalisation. Our preliminary results, ignoring electron-electron interactions, highlights the interplay of structural and magnetic `disorder' which is primarily responsible for the observed features in magnetism and transport.Comment: 12 pages, two column revtex, with 11 embedded figure

    The Effect of Disorder in an Orbitally Ordered Jahn-Teller Insulator

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    We study a two dimensional, two-band double-exchange model for ege_g electrons coupled to Jahn-Teller distortions in the presence of quenched disorder using a recently developed Monte-Carlo technique. In the absence of disorder the half-filled system at low temperatures is an orbitally ordered ferromagnetic insulator with a staggered pattern of Jahn-Teller distortions. We examine the finite temperature transition to the orbitally disordered phase and uncover a qualitative difference between the intermediate and strongly coupled systems, including a thermally driven insulator to metal crossover in the former case. Long range orbital order is suppressed in the presence of disorder and the system displays a tendency towards metastable states consisting of orbitally disordered stripe-like structures enclosing orbitally ordered domains.Comment: 10 pages, 9 figure

    GANGAMMA JATARA : A Post - Tsunami Ritual of Worshipping Sea by the Fisherwomen of Visakhapatnam

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    On the Jatara day of 2007 rituals were organised under the leadership of their head priest. The honourable Mayor, Deputy Mavar of Visakhapatnam, MLA and many other social and political leaders also participated

    Anisotropic ferromagnetism in carbon doped zinc oxide from first-principles studies

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    A density functional theory study of substitutional carbon impurities in ZnO has been performed, using both the generalized gradient approximation (GGA) and a hybrid functional (HSE06) as exchange-correlation functional. It is found that the non-spinpolarized CZn_\mathrm{Zn} impurity is under almost all conditions thermodynamically more stable than the CO_\mathrm{O} impurity which has a magnetic moment of 2μB2\mu_{\mathrm{B}}, with the exception of very O-poor and C-rich conditions. This explains the experimental difficulties in sample preparation in order to realize d0d^{0}-ferromagnetism in C-doped ZnO. From GGA calculations with large 96-atom supercells, we conclude that two CO_\mathrm{O}-CO_\mathrm{O} impurities in ZnO interact ferromagnetically, but the interaction is found to be short-ranged and anisotropic, much stronger within the hexagonal abab-plane of wurtzite ZnO than along the c-axis. This layered ferromagnetism is attributed to the anisotropy of the dispersion of carbon impurity bands near the Fermi level for CO_{\mathrm{O}} impurities in ZnO. From the calculated results, we derive that a CO_{\mathrm{O}} concentration between 2% and 6% should be optimal to achieve d0d^{0}-ferromagnetism in C-doped ZnO.Comment: 9 pages, 7 figure
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