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Search Results: 1 - 10 of 672882 matches for " S. A. Solin "
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Extraordinary Phenomena in Semiconductor-Metal Hybrid Nanostructures Based on Bilinear Conformal Mapping
S. A. Solin
Physics , 2006,
Abstract: We have shown that bilinear conformal mapping can be used to transform 4-lead internally shunted EMR semiconductor-metal hybrid structures to galvanomagnetically equivalent externally shunted 4 lead structures. The latter are compatible with the fabrication of nanoscale EMR devices while the former are not. Mapped rectangular EMR van der Pauw plate exhibit very large EMR values in both macroscopic and nanoscopic form. We have also shown that the mapping procedure applied in the case of EMR will also be applicable to other generalized EXX structures.
Design and Properties of a scanning EMR probe Microscope
S. A. Solin
Physics , 2006,
Abstract: The design, fabrication, and predicted performance of a new type of magnetic scanning probe microscope based on the newly discovered phenomenon of extraordinary magnetoresistance (EMR) is described. It is shown that the new probe should advance the state of the art of both sensitivity and spatial resolution by an order of magnitude or more.
Carrier Mobilities in Delta-doped Heterostructures
Y. Shao,S. A. Solin,L. R. Ram-Mohan
Physics , 2006,
Abstract: For applications to sensor design, the product nxmu of the electron density n and the mobility mu is a key parameter to be optimized for enhanced device sensitivity. We model the carrier mobility in a two dimensional electron gas (2DEG) layer developed in a delta-doped heterostructure. The subband energy levels, electron wave functions, and the band-edge profile are obtained by numerically solving the Schrodinger and Poisson equations self-consistently. The electron mobility is calculated by including contributions of scattering from ionized impurities, the background neutral impurities, the deformation potential acoustic phonons, and the polar optical phonons. We calculate the dependencies of nxmu on temperature, spacer layer thickness, doping density, and the quantum well thickness. The model is applied to delta-doped quantum well heterostructures of AlInSb-InSb. At low temperature, mobilities as high as 1.3x10^3 m^2/Vs are calculated for large spacer layers (400 A) and well widths (400 A). The corresponding room temperature mobility is 10 m^2/Vs. The dependence of nxmu shows a maximum for a spacer thickness of 300 A for higher background impurity densities while it continues to increase monotonically for lower background impurity densities; this has implications for sensor design.
Finite element modeling of extraordinary optoconductance in GaAs-In metal-semiconductor hybrid structures
K. A. Wieland,Yun Wang,S. A. Solin,A. M. Girgis,L. R. Ram-Mohan
Physics , 2006, DOI: 10.1103/PhysRevB.73.155305
Abstract: We present a detailed discussion of extraordinary optoconductance (EOC). Experimental data was acquired via macroscopic metal-semiconductor hybrid structures composed of GaAs and In and subjected to illumination from an Ar ion laser. A drift diffusion model using the finite element method (FEM) provided a reasonable fit to the data. EOC is explored as a function of laser position, bias current, laser power density, and temperature. The positional dependence of the voltage is accounted for by the Dember effect, with the model incorporating the excess hole distribution based on the carrier mobility, and thus the mean free path. The bias current is found to produce a linear voltage offset and does not influence the EOC. A linear relationship is found between the laser power density and the voltage in the bare and hybrid devices. This dependence is reproduced in the model by a generation rate parameter which is related to the power density. Incorporating the mobility and diffusion temperature dependence, the model directly parallels the temperature dependence of the EOC without the use of fitting parameters.
Spin glassiness and power law scaling in a quasi-triangular spin-1/2 compound
Jian Wu,Julia S. Wildeboer,Fletcher Werner,Alexander Seidel,Z. Nussinov,S. A. Solin
Physics , 2010, DOI: 10.1209/0295-5075/93/67001
Abstract: We present data on the magnetic properties of two classes of layered spin S=1/2 antiferromagnetic quasi-triangular lattice materials: $Cu_{2(1-x)}Zn_{2x}(OH)_3NO_3$ ($0 < x < 0.65$) and its long chain organic derivatives $Cu_{2(1-x)}Zn_{2x}(OH)_3(C_7H_{15}COO)\cdot mH_2O$ ($0 < x < 0.29$), where non-magnetic Zn substitutes Cu isostructurally. It is found that the long-chain compounds, even in a clean system in the absence of dilution, $x\!=\!0$, show spin-glass behavior, as evidenced by DC and AC susceptibility, and by time dependent magnetization measurements. A striking feature is the observation of a sharp crossover between two successive power law regimes in the DC susceptibility above the freezing temperature. Specific heat data are consistent with a conventional phase transition in the unintercalated compounds, and glassy behavior in the long chain compunds.
The Effect of Transfer Printing on Pentacene Thin-Film Crystal Structure
Y. Shao,S. A. Solin,D. R. Hines,E. D. Williams
Physics , 2006, DOI: 10.1063/1.2336301
Abstract: The thermal deposition and transfer Printing method had been used to produce pentacene thin-films on SiO2/Si and plastic substrates (PMMA and PVP), respectively. X-ray diffraction patterns of pentacene thin films showed reflections associated with highly ordered polycrystalline films and a coexistence of two polymorph phases classified by their d-spacing, d(001): 14.4 and 15.4 A.The dependence of the c-axis correlation length and the phase fraction on the film thickness and printing temperature were measured. A transition from the 15.4 A phase towards 14.4 A phase was also observed with increasing film thickness. An increase in the c-axis correlation length of approximately 12% ~16% was observed for Pn films transfer printed onto a PMMA coated PET substrate at 100~120 C as compared to as-grown Pn films on SiO2/Si substrates. The transfer printing method is shown to be an attractive for the fabrication of pentacene thin-film transistors on flexible substrates partly because of the resulting improvement in the quality of the pentacene film.
Multicomponent nanoparticles as nonviral vectors for the treatment of Fabry disease by gene therapy
Ruiz de Garibay AP, Delgado D, del Pozo-Rodríguez A, Solinís MA, Gascón AR
Drug Design, Development and Therapy , 2012, DOI: http://dx.doi.org/10.2147/DDDT.S36131
Abstract: lticomponent nanoparticles as nonviral vectors for the treatment of Fabry disease by gene therapy Original Research (1634) Total Article Views Authors: Ruiz de Garibay AP, Delgado D, del Pozo-Rodríguez A, Solinís MA, Gascón AR Published Date October 2012 Volume 2012:6 Pages 303 - 310 DOI: http://dx.doi.org/10.2147/DDDT.S36131 Received: 19 July 2012 Accepted: 07 August 2012 Published: 26 October 2012 Aritz Pérez Ruiz de Garibay, Diego Delgado, Ana del Pozo-Rodríguez, María ángeles Solinís, Alicia Rodríguez Gascón Pharmacokinetics, Nanotechnology and Gene Therapy Group, Pharmacy Faculty, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain Purpose: Gene-mediated enzyme replacement is a reasonable and highly promising approach for the treatment of Fabry disease (FD). The objective of the present study was to demonstrate the potential applications of solid lipid nanoparticle (SLN)-based nonviral vectors for the treatment of FD. Methods: SLNs containing the pR-M10-αGal A plasmid that encodes the α-Galactosidase A (α-Gal A) enzyme were prepared and their in vitro transfection efficacy was studied in Hep G2 cells. We also studied the cellular uptake of the vectors and the intracellular disposition of the plasmid. Results: The enzymatic activity of the cells treated with the vectors increased significantly relative to the untreated cells, regardless of the formulation assayed. When the SLNs were prepared with protamine or dextran and protamine, the activity of the α-Gal A enzyme by the transfected Hep G2 cells increased up to 12-fold compared to that of untreated cells. Conclusion: With this work we have revealed in Hep G2 cells the ability of a multicomponent system based on SLNs to act as efficient nonviral vectors to potentially correct low α-Gal A activity levels in FD with gene therapy.
Multicomponent nanoparticles as nonviral vectors for the treatment of Fabry disease by gene therapy
Ruiz de Garibay AP,Delgado D,del Pozo-Rodríguez A,Solinís MA
Drug Design, Development and Therapy , 2012,
Abstract: Aritz Pérez Ruiz de Garibay, Diego Delgado, Ana del Pozo-Rodríguez, María ángeles Solinís, Alicia Rodríguez GascónPharmacokinetics, Nanotechnology and Gene Therapy Group, Pharmacy Faculty, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, SpainPurpose: Gene-mediated enzyme replacement is a reasonable and highly promising approach for the treatment of Fabry disease (FD). The objective of the present study was to demonstrate the potential applications of solid lipid nanoparticle (SLN)-based nonviral vectors for the treatment of FD.Methods: SLNs containing the pR-M10-αGal A plasmid that encodes the α-Galactosidase A (α-Gal A) enzyme were prepared and their in vitro transfection efficacy was studied in Hep G2 cells. We also studied the cellular uptake of the vectors and the intracellular disposition of the plasmid.Results: The enzymatic activity of the cells treated with the vectors increased significantly relative to the untreated cells, regardless of the formulation assayed. When the SLNs were prepared with protamine or dextran and protamine, the activity of the α-Gal A enzyme by the transfected Hep G2 cells increased up to 12-fold compared to that of untreated cells.Conclusion: With this work we have revealed in Hep G2 cells the ability of a multicomponent system based on SLNs to act as efficient nonviral vectors to potentially correct low α-Gal A activity levels in FD with gene therapy.Keywords: solid lipid nanoparticles, Fabry disease, nonviral vectors, gene therapy
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
Arno Solin,Simo S?rkk?
Statistics , 2014,
Abstract: This paper proposes a novel scheme for reduced-rank Gaussian process regression. The method is based on an approximate series expansion of the covariance function in terms of an eigenfunction expansion of the Laplace operator in a compact subset of $\mathbb{R}^d$. On this approximate eigenbasis the eigenvalues of the covariance function can be expressed as simple functions of the spectral density of the Gaussian process, which allows the GP inference to be solved under a computational cost scaling as $\mathcal{O}(nm^2)$ (initial) and $\mathcal{O}(m^3)$ (hyperparameter learning) with $m$ basis functions and $n$ data points. The approach also allows for rigorous error analysis with Hilbert space theory, and we show that the approximation becomes exact when the size of the compact subset and the number of eigenfunctions go to infinity. The expansion generalizes to Hilbert spaces with an inner product which is defined as an integral over a specified input density. The method is compared to previously proposed methods theoretically and through empirical tests with simulated and real data.
Infinite-dimensional Bayesian filtering for detection of quasi-periodic phenomena in spatio-temporal data
Arno Solin,Simo S?rkk?
Statistics , 2013, DOI: 10.1103/PhysRevE.88.052909
Abstract: This paper introduces a spatio-temporal resonator model and an inference method for detection and estimation of nearly periodic temporal phenomena in spatio-temporal data. The model is derived as a spatial extension of a stochastic harmonic resonator model, which can be formulated in terms of a stochastic differential equation (SDE). The spatial structure is included by introducing linear operators, which affect both the oscillations and damping, and by choosing the appropriate spatial covariance structure of the driving time-white noise process. With the choice of the linear operators as partial differential operators, the resonator model becomes a stochastic partial differential equation (SPDE), which is compatible with infinite-dimensional Kalman filtering. The resulting infinite-dimensional Kalman filtering problem allows for a computationally efficient solution as the computational cost scales linearly with measurements in the temporal dimension. This framework is applied to weather prediction and to physiological noise elimination in fMRI brain data.
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