<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

Center for Informatics

We show using ab initio electronic structure calculations that the dodecahedral fullerene of silicon Si 20 is stabilized by thorium encapsulation. Thorium is found to be the only element in the Periodic Table that stabilizes this fullerene with icosahedral symmetry in the neutral state. The preference for sp 3 bonding in silicon makes it an optimal cage with all pentagonal faces in contrast to carbon for which C 20 is difficult to stabilize. Similar to C 60, this is the highest symmetry cluster of silicon and should be abundant. It could lead to the possibilities of novel new phases and derivatives of silicon. {\textcopyright}2005 The American Physical Society.

World University root node

Physical Review B - Condensed Matter and Materials Physics

Stabilizing the silicon fullerene Si 20 by thorium encapsulation

Motivation: Accurate prediction of genes in genomes has always been a challenging task for bioinformaticians and computational biologists. The discovery of existence of distinct scaling relations in coding and non-coding sequences has led to new perspectives in the understanding of the DNA sequences. This has motivated us to exploit the differences in the local singularity distributions for characterization and classification of coding and non-coding sequences. Results: The local singularity density distribution in the coding and non-coding sequences of four genomes was first estimated using the wavelet transform modulus maxima methodology. Support vector machines classifier was then trained with the extracted features. The trained classifier is able to provide an average test accuracy of 97.7%. The local singularity features in a DNA sequence can be exploited for successful identification of coding and non-coding sequences. © The Author 2005. Published by Oxford University Press. All rights reserved.

Fulltext

Bioinformatics

Identification of coding and non-coding sequences using local Hölder exponent formalism

A hybrid technique involving symbolization of data to remove noise and use of conditional entropy minima to extract relevant and non-redundant features is proposed in conjunction with support vector machines to obtain more robust classification algorithm. The technique tested on three data sets shows improvements in classification efficiencies. © 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Pattern Recognition

An SVM classifier incorporating simultaneous noise reduction and feature selection: Illustrative case examples

Least Square Support Vector Machines (LS-SVM), a new machine-learning tool has been employed for developing data driven models of non-linear processes. The method is firmly rooted in the statistical learning theory and transforms the input data to a higher dimensional feature space where the use of appropriate kernel functions avoid computational difficulty. Further, a pattern search algorithm, which explores multiple directions and utilizes coordinate search with fixed step size, is employed for selecting optimal LS-SVM model that produces a minimum possible prediction error. To show the efficacy and efficiency of the fully automated pattern search assisted LS-SVM methodology, we have tested it on several benchmark examples. The study suggests that proposed paradigm can be a useful and viable tool in building data driven models of non-linear processes. © 2005 Institution of Chemical Engineers.

Chemical Engineering Research and Design

Regression models using pattern search assisted least square support vector machines

APS March Meeting Abstracts, W25.

Thinnest Insulating and Semiconducting Nanotubes of SiOx (x= 1 and 2)

Using ab initio total energy calculations we demonstrate that the nanotubes of germanium with atomic structure based on an alternate prism and antiprism stacking of hexagonal rings, can be stabilized by metal encapsulation. The V or Nb doped infinite nanotube is metallic. However, Mo doping leads to the formation of a metal encapsulated direct band gap semiconducting nanotube of germanium. These nanotubes with metal dependent electronic properties could prove to be vital for the development of future nanotechnologies. {\textcopyright} EDP Sciences, Societ{\`{a}} Italiana di Fisica, Springer-Verlag 2005.

European Physical Journal D

Metal encapsulated nanotubes of germanium with metal dependent electronic properties

Nano Gakkai Taikai Koen Yokoshu

Magnetic Fullerences of Silicon by Metal Encapsulation

Study of Zinc Oxide Nanoclusters Structures

This new book offers important research for software and hardware developed to produce and process materials using higher-level automatic and intelligent systems.

Intelligence in a Small Materials World

We report results of ab initio calculations on silicon nanowires oriented along the [110] direction and show for the first time that these pristine silicon nanowires are indirect band gap semiconductors. The nanowires have bulk Si core and are bounded by two (100) and two (110) planes in lateral directions. The (100) planes are atomically reconstructed with dimerization in a manner similar to the (100) surface of bulk Si but the dimer arrays are perpendicular to each other on the two (100) planes. An interesting consequence of surface reconstruction is the possibility of polytypism in thicker nanowires. We discuss its effects on the electronic structure. These findings could have important implications for the use of silicon nanowires in nanoscale devices as experimentally [110] nanowires have been found to grow preferentially in the small diameter range. {\textcopyright} 2005 American Chemical Society.