Improvement of Subthreshold Characteristics of Dopingless Tunnel FET Using Hetero Gate Dielectric Material: Analytical Modeling and Simulation

An improved subthreshold analytical model of Dual Material Double Gate Junctionless Tunnel FET (DMDG JLTFET) with stacked / hetero-dielectric gate oxide structure is proposed. The stacked gate oxide structure comprises of Silicon-dioxide (SiO₂) and Titanium Oxide (TiO₂). The high-K gate stack engineered device overcomes the Short Channel Effects (SCEs) caused by the ultrathin silicon devices. The subthreshold analysis is carried out by solving a two-dimensional Poisson’s equation using Parabolic approximation method. These characteristics are analyzed against various device parameters. Also, the impact of different high-K gate oxide materials with SiO₂ is also studied. A comparative analysis of short channel effects for DMDG TFET and DMDG JLTFET has been carried out. The results reveal that the proposed device provides better I_ON current, low leakage current and improved Transconductance-to-drain current ratio. Using TCAD Sentaurus device simulator, the subthreshold analytical model results have been simulated and verified with other TFET models.

     

Electrochemical and structural evaluation of functionally graded bioglass-apatite composites electrophoretically deposited onto Ti6Al4V alloy

Titanium and its alloys are widely used as materials for implants, owing to their corrosion resistance, mechanical properties and excellent biocompatibility. However, clinical experience has shown that they are susceptible to localised corrosion in the human body causing the release of metal ions into the tissues surrounding the implants. Several incidences of clinical failures of such devices have demanded the application of biocompatible and corrosion resistant coatings and surface modification of the alloys. Coating metallic implants with bioactive materials is necessary to establish good interfacial bonds between the metal substrate and the bone. Hence, this work aimed at developing a bioglass-apatite (BG-HAP) graded coating on Ti6Al4V titanium alloy through electrophoretic deposition (EPD) technique. The coatings were characterized for their properties such as structural, electrochemical and mechanical stability. The electrochemical corrosion parameters such as corrosion potential (E_corr) (open circuit potential) and corrosion current density (I_corr) evaluated in simulated body fluid (SBF) have shown significant shifts towards noble direction for the graded bioglass-apatite coated specimens in comparison with uncoated Ti6Al4V alloy. Electrochemical impedance spectroscopic investigations revealed higher polarisation resistance and lower capacitance values for the coated specimens, evidencing the stable nature of the formed coatings. The results obtained in the present work demonstrate the suitability of the electrophoretic technique for the preparation of graded coating on Ti6Al4V substrates.     

Photoisomerization behavior of bisbenzylidene and 1,3,4‐oxadiazole‐based liquid crystalline polyesters

Photoisomerization behavior of bisbenzylideneacetone/cycloheptanone and 1,3,4‐oxadiazole containing nematic liquid crystalline polyesters under UV irradiation was investigated. Solubility, carbonyl group absorption band in FTIR, optical microscopy observation, as well as DSC analysis through existence of liquid crystallinity after irradiation were proved this phenomenon. Fluorescence spectra revealed blue‐emission maxima with Stokes shift in the range of 46–49 nm. Band gap energy calculated from absorption spectra are in the range of 3.18–3.41 eV. Structure–property relationships were probed by correlating the spacer length with development of mesophase formation, thermal, and optical properties. Optical property of polymers disclosed photoisomerization processes. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2010     

A novel feature selection framework for automatic web page classification

The number of Internet users and the number of web pages being added to WWW increase dramatically every day.It is therefore required to automatically and e?ciently classify web pages into web directories.This helps the search engines to provide users with relevant and quick retrieval results.As web pages are represented by thousands of features,feature selection helps the web page classifiers to resolve this large scale dimensionality problem.This paper proposes a new feature selection method using Ward s minimum variance measure.This measure is first used to identify clusters of redundant features in a web page.In each cluster,the best representative features are retained and the others are eliminated.Removing such redundant features helps in minimizing the resource utilization during classification.The proposed method of feature selection is compared with other common feature selection methods.Experiments done on a benchmark data set,namely WebKB show that the proposed method performs better than most of the other feature selection methods in terms of reducing the number of features and the classifier modeling time.     

Application of Solid Me3SiZnI for the Synthesis of Aryl and Alkyl Trimethylsilanes

Silylzinc reagents are desirable for the synthesis of organosilanes due to their compatibility with functional groups; however, the use of pyrophoric silyllithium and dissolved lithium salts in their production hinders their development. Our solid Me₃SiZnI circumvents these limitations, and herein, we demonstrate its significance in the synthesis of aryl and alkyl trimethylsilanes via cross-coupling of aryl and alkyl bromides. The milder reaction condition tolerates functional groups such as MOM, Boc, Bpin, and aldehydes.     

Effective and efficient feature selection for large-scale data using Bayes’ theorem

This paper proposes one method of feature selection by using Bayes＇ theorem. The purpose of the proposed method is to reduce the computational complexity and increase the classification accuracy of the selected feature subsets. The dependence between two attributes （binary） is determined based on the probabilities of their joint values that contribute to positive and negative classification decisions. If opposing sets of attribute values do not lead to opposing classification decisions （zero probability）, then the two attributes are considered independent of each other, otherwise dependent, and one of them can be removed and thus the number of attributes is reduced. The process must be repeated on all combinations of attributes. The paper also evaluates the approach by comparing it with existing feature selection algorithms over 8 datasets from University of California, Irvine （UCI） machine learning databases. The proposed method shows better results in terms of number of selected features, classification accuracy, and running time than most existing algorithms.     

Survival of Campylobacter jejuni on beef and pork under vacuum packaged and retail storage conditions: examination of the role of natural meat microflora on C. jejuni survival

The ability of Campylobacter jejuni ATCC 11168 to survive on beef and pork stored under chilled, vacuum packaged and retail display conditions were examined. In addition, the effect of natural microflora on commercial beef and pork on the survival of C. jejuni under these storage conditions was examined. When sterile cores of beef and pork were inoculated with ∼10⁵ to 10⁶ cfu cm⁻²C. jejuni, and were stored under aerobic or vacuum packaged conditions at −1.5 or 4 °C, its numbers dropped significantly and C. jejuni could not be enumerated by direct plating after 21 d of the 6 wks study. In contrast, survival of C. jejuni on commercial vacuum packaged beef and pork was significantly enhanced, resulting in only 1 log cfu cm⁻² reduction at the end of 6 wks. During 7 d of display in a retail case, numbers of C. jejuni dropped quickly, but could be enumerated by direct plating even after the 7 d. The presence of high numbers of inoculated C. jejuni on beef and pork had no significant effect on the natural microflora numbers compared to uninoculated controls when the meat was stored either in vacuum or in a retail display case. These results show that natural microflora on vacuum packaged meat afford enhanced survival of C. jejuni present on the surfaces of both beef and pork when stored at refrigeration temperatures. Hence, strict hygienic practices or the implementation of decontamination technologies are recommended to ensure safety of meat with respect to this pathogen.     

Preparation and characterization of BaTiO3–natural muscovite composites

Journal of Materials Science: Materials in Electronics - Natural muscovite (nM) exhibiting magnetic vortex states are ball milled into fine powder and mixed in different relative ratios (weight %)...     

A Cluster-Profile Comparative Study on Machining AlSi7/63% of SiC Hybrid Composite Using Agglomerative Hierarchical Clustering and K-Means

Silicon - Clustering techniques are used to group the data based on the structure or through classification to reduce the mathematical complexity of large datasets. The hierarchical and...