Samsung

About: Samsung is a company organization based out in Seoul, South Korea. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134067 authors who have published 163691 publications receiving 2057505 citations. The organization is also known as: Samsung Group & Samsung chaebol.

Rational design of redox mediators for advanced Li–O2 batteries

Abstract: The discovery of effective catalysts is an important step towards achieving Li–O2 batteries with long cycle life and high round-trip efficiency. Soluble-type catalysts or redox mediators (RMs) possess great advantages over conventional solid catalysts, generally exhibiting much higher efficiency. Here, we select a series of organic RM candidates as a model system to identify the key descriptor in determining the catalytic activities and stabilities in Li–O2 cells. It is revealed that the level of ionization energies, readily available parameters from a database of the molecules, can serve such a role when comparing with the formation energy of Li2O2 and the highest occupied molecular orbital energy of the electrolyte. It is demonstrated that they are critical in reducing the overpotential and improving the stability of Li–O2 cells, respectively. Accordingly, we propose a general principle for designing feasible catalysts and report a RM, dimethylphenazine, with a remarkably low overpotential and high stability. Soluble catalysts such as redox mediators are promising in enhancing energy efficiency of Li–O2 batteries. Here, the authors propose a design principle for finding efficient redox mediators and demonstrate the application of such a new catalyst.

Apparatus and system for transmitting power wirelessly

Abstract: An apparatus for transmitting power wirelessly is provided. The apparatus comprises: a dielectric resonator which generates evanescent waves in a predetermined direction in order to transmit power; and a loop antenna which is coupled to a surface of the dielectric resonator and supplies power to the dielectric resonator. The dielectric resonator transmits power by means of evanescent waves generated in directions perpendicular to top and bottom surfaces of the dielectric resonator and by radiation in directions parallel to the top and bottom surfaces of the dielectric resonator. Accordingly, efficient power transmission over short and long distance ranges is possible.

One-step pathogen specific DNA extraction from whole blood on a centrifugal microfluidic device

Abstract: We report a fully integrated, pathogen-specific DNA extraction device utilizing centrifugal microfluidics on a polymer based CD platform. By use of the innovative laser irradiated Ferrowax microvalve (LIFM) together with the rapid cell lysis method using laser irradiation on magnetic particles, we could, for the first time, demonstrate a fully integrated pathogen specific DNA extraction from whole blood on a CD. As a model study, DNA extraction experiments from whole blood spiked with Hepatitis B virus (HBV) and E.coli were conducted. The total process of the plasma separation, mixing with magnetic beads conjugated with target specific antibodies, removal of plasma residual, washing and DNA extraction was finished within 12 min with only one manual step, the loading of 100 µL of whole blood. Real-time PCR results showed that the concentration of DNA prepared on a CD using a portable sample preparation device was as good as those by conventional bench top protocol. It demonstrates that our novel centrifugal microfluidics platform enables a full integration of complex biological reactions that require multi-step fluidic control.

Flexible and Stretchable Smart Display: Materials, Fabrication, Device Design, and System Integration

Abstract: Recent technological advances in nanomaterials have driven the development of high‐performance light‐emitting devices with flexible and stretchable form factors. Deformability in such devices is mainly achieved by replacing the rigid materials in the device components with flex...

Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image

Abstract: We present a novel method of nonlinear discriminant analysis involving a set of locally linear transformations called "Locally Linear Discriminant Analysis" (LLDA). The underlying idea is that global nonlinear data structures are locally linear and local structures can be linearly aligned. Input vectors are projected into each local feature space by linear transformations found to yield locally linearly transformed classes that maximize the between-class covariance while minimizing the within-class covariance. In face recognition, linear discriminant analysis (LIDA) has been widely adopted owing to its efficiency, but it does not capture nonlinear manifolds of faces which exhibit pose variations. Conventional nonlinear classification methods based on kernels such as generalized discriminant analysis (GDA) and support vector machine (SVM) have been developed to overcome the shortcomings of the linear method, but they have the drawback of high computational cost of classification and overfitting. Our method is for multiclass nonlinear discrimination and it is computationally highly efficient as compared to GDA. The method does not suffer from overfitting by virtue of the linear base structure of the solution. A novel gradient-based learning algorithm is proposed for finding the optimal set of local linear bases. The optimization does not exhibit a local-maxima problem. The transformation functions facilitate robust face recognition in a low-dimensional subspace, under pose variations, using a single model image. The classification results are given for both synthetic and real face data.