Institution
Shiv Nadar University
Education•Dadri, Uttar Pradesh, India•
About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.
Papers published on a yearly basis
Papers
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TL;DR: 3D particle-in-cell simulations demonstrate that the enhanced transparency of a relativistically hot plasma is sensitive to how the energy is partitioned between different degrees of freedom.
Abstract: 3D particle-in-cell simulations demonstrate that the enhanced transparency of a relativistically hot plasma is sensitive to how the energy is partitioned between different degrees of freedom. For an anisotropic electron distribution, propagation characteristics, like the critical density, will depend on the polarization of the electromagnetic wave. Despite the onset of the Weibel instability in such plasmas, the anisotropy can persist long enough to affect laser propagation. This plasma can then function as a polarizer or a wave plate to dramatically alter the pulse polarization.
45 citations
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TL;DR: The high percentage of PWE who met the diagnostic criteria for OAE suggests that better onchocerciasis control could prevent new cases, and urgent action is needed to close the anti-epileptic treatment gap.
Abstract: Purpose To describe the clinical manifestations of persons with epilepsy (PWE) in onchocerciasis endemic villages in South Sudan. Methods During a survey in Maridi County in May 2018, PWE were interviewed and examined in their households by a clinical officer or medical doctor. Onchocerciasis-associated epilepsy (OAE) was defined as ≥2 seizures without any obvious cause, starting between the ages of 3–18 years in previously healthy persons who had resided for at least 3 years in the onchocerciasis endemic area. Results Seven hundred and thirty-six PWE were included in the study; 315 (42.8%) were females; median age was 18 years. A variety of seizure types were reported: generalized tonic-clonic seizures in 511 PWE (69.4%), absences in 15 (2.0%), focal motor seizures with full awareness in 7 (1.0%), focal motor seizures with impaired awareness in 25 (3.4%), brief episodes of hallucinations in 316 (43.9%) and nodding seizures in 335 (45.5%). The median age of onset of all seizures was 10 years, and 8 years for nodding seizures. PWE with nodding seizures presented with more cognitive disabilities. The diagnostic criteria for OAE were met by 414 (85.2%) of the 486 PWE with complete information. Eighty (11.0%) PWE presented with Nakalanga features. Only 378 (51.4%) PWE were taking anti-epileptic treatment. Conclusion PWE presented with a wide spectrum of seizures. The high percentage of PWE who met the diagnostic criteria for OAE suggests that better onchocerciasis control could prevent new cases. Urgent action is needed to close the anti-epileptic treatment gap.
45 citations
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TL;DR: In this article, a self-consistent coherent potential approximation generalised to take the effect of clusters into account is presented. But it does not take into account off-diagonal disorder and short-range order.
Abstract: The authors have developed a self-consistent coherent potential approximation generalised to take the effect of clusters into account. Off-diagonal disorder and short-range order are taken into account. A graphical method married to the recursion technique enables them to work on realistic three-dimensional lattices. Calculations are shown for a binary alloy on a diamond lattice.
45 citations
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TL;DR: In this paper, a variant of TNDT for subsurface defect detection based on frequency modulated thermal wave imaging (FMTWI) is described, which is made of the frequency dependence of thermal diffusion length, to achieve entire depth scanning of a sample in one run.
Abstract: Thermal non-destructive testing (TNDT) is a whole field and non-contact technique for defect detection. The present work describes a variant of TNDT for subsurface defect detection based on frequency modulated thermal wave imaging (FMTWI). Use is made of the frequency dependence of thermal diffusion length, to achieve entire depth scanning of a sample in one run. This novel technique overcomes some of the drawbacks associated with traditional pulse and lock-in thermography. Experimental results are presented in support.
44 citations
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TL;DR: In this article, the authors explore the possibility of stabilizing the planar form of silicene by Ni doping using first principles density functional theory based calculations and find that planar as well as buckled structure is stable for Ni-doped Silicene, but the buckled sheet has slightly lower total energy.
Abstract: Silicene, a graphene analogue of silicon, has been generating immense interest due to its potential for applications in miniaturized devices. Unlike planar graphene, silicene prefers a buckled structure. Here we explore the possibility of stabilizing the planar form of silicene by Ni doping using first principles density functional theory based calculations. It is found that planar as well as buckled structure is stable for Ni-doped silicene, but the buckled sheet has slightly lower total energy. The planar silicene sheet has unstable phonon modes. A comparative study of the mechanical properties reveals that the in-plane stiffness of both the pristine and the doped planar silicene is higher compared to that of the buckled silicene. This suggests that planar silicene is mechanically more robust. Electronic structure calculations of the planar and buckled Ni-doped silicene show that the energy bands at the Dirac point transform from linear behavior to parabolic dispersion. Furthermore, we extend our study to Ge and Sn sheets that are also stable and the trends of comparable mechanical stability of the planar and buckled phases remain the same.
43 citations
Authors
Showing all 1055 results
Name | H-index | Papers | Citations |
---|---|---|---|
Dinesh Mohan | 79 | 283 | 35775 |
Vijay Kumar Thakur | 74 | 375 | 17719 |
Robert A. Taylor | 62 | 572 | 15877 |
Himanshu Pathak | 56 | 259 | 11203 |
Gurmit Singh | 54 | 270 | 8565 |
Vijay Kumar | 51 | 773 | 10852 |
Dimitris G. Kaskaoutis | 43 | 135 | 5248 |
Ken Haenen | 39 | 288 | 6296 |
Vikas Dudeja | 39 | 143 | 4733 |
P. K. Giri | 38 | 158 | 4528 |
Swadesh M Mahajan | 38 | 255 | 5389 |
Rohini Garg | 37 | 88 | 4388 |
Rajendra Bhatia | 36 | 154 | 9275 |
Rakesh Ganguly | 35 | 240 | 4415 |
Sonal Singhal | 34 | 180 | 4174 |