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Abhishek K. Singh

Researcher at Indian Institute of Science

Publications -  389
Citations -  9883

Abhishek K. Singh is an academic researcher from Indian Institute of Science. The author has contributed to research in topics: Medicine & Band gap. The author has an hindex of 44, co-authored 321 publications receiving 7354 citations. Previous affiliations of Abhishek K. Singh include University of California, Santa Barbara & Tata Institute of Fundamental Research.

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Journal ArticleDOI

Wavelet transform of multiplicators and convolutors for ultradistributions

TL;DR: In this article , a Calderóns reproducing formula for convolutors is derived and an inversion formula for wavelet transform on multiplicators and convolutor of ultradistribution space.
Book ChapterDOI

Successive Impact of Two Drops on Surfaces with Various Wettability

TL;DR: In this paper, the influence of the wettability on the maximum spread after the consecutive impact of two successive water drops on surfaces with various Wettability is studied. And the authors show that the maximum spreading diameter is higher for both the first and second drops, compared to that on a hydrophobic surface.
Journal ArticleDOI

Metal Encapsulated Nanotubes of Silicon and Germanium

Abstract: Nanoforms of silicon such as nanoparticles and nanowires have been attracting much attention and recent findings of novel metal encapsulated silicon clusters as well as nanotubes have opened up new avenues for the development of silicon nanostructures. We review these recent developments and discuss the findings of the metal encapsulated nanotubes of silicon and germanium using ab initio total energy calculations. These nanotubes are generally found to be metallic. The metalicity is not induced by the doping of metal atoms, though they stabilize silicon and germanium in tubular forms. Transition metal atoms such as Mn and Fe lead to nanotubes that are ferromagnetic making them interesting as nanomagnets. Antiferromagnetic and ferrimagnetic phases have also been obtained. A novel aspect of these magnetic nanotubes is the possibility of developing half-metallic nanotubes that could be interesting for nano-spintronics applications. Further possibilities of semiconducting silicon nanotubes are discussed.
Journal ArticleDOI

Introduction of Local Spatial Constraints and Local Similarity Estimation in Possibilistic c-Means Algorithm for Remotely Sensed Imagery

TL;DR: It has been observed that PCM-S with ADPLICM is effective in minimizing noise during supervised classification by introducing local convolution.