Institution
Indian Institute of Technology Bhubaneswar
Education•Bhubaneswar, India•
About: Indian Institute of Technology Bhubaneswar is a education organization based out in Bhubaneswar, India. It is known for research contribution in the topics: Large Hadron Collider & Higgs boson. The organization has 1185 authors who have published 3132 publications receiving 48832 citations.
Topics: Large Hadron Collider, Higgs boson, Graphene, Particle swarm optimization, Ultimate tensile strength
Papers
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TL;DR: This work constitutes the most precise measurements of R(D) and R (D^{*}) performed to date as well as the first result for R( D) based on a semileptonic tagging method.
Abstract: The experimental results on the ratios of branching fractions $\mathcal{R}(D) = {\cal B}(\bar{B} \to D \tau^- \bar{
u}_{\tau})/{\cal B}(\bar{B} \to D \ell^- \bar{
u}_{\ell})$ and $\mathcal{R}(D^*) = {\cal B}(\bar{B} \to D^* \tau^- \bar{
u}_{\tau})/{\cal B}(\bar{B} \to D^* \ell^- \bar{
u}_{\ell})$, where $\ell$ denotes an electron or a muon, show a long-standing discrepancy with the Standard Model predictions, and might hint to a violation of lepton flavor universality. We report a new simultaneous measurement of $\mathcal{R}(D)$ and $\mathcal{R}(D^*)$, based on a data sample containing $772 \times 10^6$ $B\bar{B}$ events recorded at the $\Upsilon(4S)$ resonance with the Belle detector at the KEKB $e^+ e^-$ collider. In this analysis the tag-side $B$ meson is reconstructed in a semileptonic decay mode and the signal-side $\tau$ is reconstructed in a purely leptonic decay. The measured values are $\mathcal{R}(D)= 0.307 \pm 0.037 \pm 0.016$ and $\mathcal{R}(D^*) = 0.283 \pm 0.018 \pm 0.014$, where the first uncertainties are statistical and the second are systematic. These results are in agreement with the Standard Model predictions within $0.2$, $1.1$ and $0.8$ standard deviations for $\mathcal{R}(D)$, $\mathcal{R}(D^*)$ and their combination, respectively. This work constitutes the most precise measurements of $\mathcal{R}(D)$ and $\mathcal{R}(D^*)$ performed to date as well as the first result for $\mathcal{R}(D)$ based on a semileptonic tagging method.
228 citations
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TL;DR: In this article, a graphene-based photonic crystal fiber (PCF) sensor based on surface plasmon resonance was proposed, which showed high amplitude sensitivity of 860 RIU-1 and has a resolution as high as 4×10-5 RIU.
Abstract: We propose a graphene-based photonic crystal fiber (PCF) sensor based on surface plasmon resonance. Graphene helps in prevention of oxidation of the silver layer used as a plasmonic active metal. The birefringent nature of the structure allows one component of the core guided mode to be more sensitive. Further, this structure does not need filling of the voids. The structural parameter of PCF and metal thickness has been optimized. The proposed sensor shows high amplitude sensitivity of 860 RIU-1 and has a resolution as high as 4×10-5 RIU. This reported performance is higher than bimetallic (gold on silver) configuration.
227 citations
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TL;DR: This study shows that these three polyphenols from green tea can be used as potential inhibitors against SARS CoV-2 Mpro and are promising drug candidates for COVID-19 treatment.
Abstract: Coronavirus disease 2019 (COVID-19) is a viral respiratory disease which caused global health emergency and announced as pandemic disease by World Health Organization Lack of specific drug molecul
212 citations
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TL;DR: In this paper, a surface plasmon resonance based affinity biosensor comprising of 2S2G (Ge20Ga5Sb10S65) chalcogenide prism, graphene-multilayer and gold as a plasm active metal is proposed for sensing over a broad wavelength range in visible and near infrared regime.
Abstract: Surface plasmon resonance based affinity biosensor comprising of 2S2G (Ge20Ga5Sb10S65) chalcogenide prism, graphene-multilayer and gold as a plasmon active metal is proposed for sensing over a broad wavelength range in visible and near infrared regime. We have investigated and carried out detailed analysis to design high performance affinity biosensor by exploiting the unique optical properties of chalcogenide glass and graphene. The performance of the biosensor has been quantified in terms of sensitivity and detection accuracy. The sensitivity of proposed biosensor increases significantly due to the presence of graphene where as the detection accuracy increases by more than 100% because of high index chalcogenide glass as compared to silica glass. Also, the detection accuracy of the proposed sensor in near IR is 16 times more as compared to that in visible. Adequate values of crucial design parameters have been optimized to achieve the best possible sensing performance over a broad wavelength range.
212 citations
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TL;DR: First-principles density functional calculations suggest that the enhanced field emission may also be due to an overalp of the electronic structures of WS2 and RGO, where graphene-like states are dumped in the region of the WS2 fundamental gap.
Abstract: We report here the field emission studies of a layered WS2-RGO composite at the base pressure of ~1 × 10−8 mbar. The turn on field required to draw a field emission current density of 1 μA/cm2 is found to be 3.5, 2.3 and 2 V/μm for WS2, RGO and the WS2-RGO composite respectively. The enhanced field emission behavior observed for the WS2-RGO nanocomposite is attributed to a high field enhancement factor of 2978, which is associated with the surface protrusions of the single-to-few layer thick sheets of the nanocomposite. The highest current density of ~800 μA/cm2 is drawn at an applied field of 4.1 V/μm from a few layers of the WS2-RGO nanocomposite. Furthermore, first-principles density functional calculations suggest that the enhanced field emission may also be due to an overalp of the electronic structures of WS2 and RGO, where graphene-like states are dumped in the region of the WS2 fundamental gap.
211 citations
Authors
Showing all 1220 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gabor Istvan Veres | 135 | 1349 | 96104 |
Márton Bartók | 76 | 622 | 26762 |
Kulamani Parida | 70 | 469 | 19139 |
Seema Bahinipati | 65 | 526 | 19144 |
Deepak Kumar Sahoo | 62 | 438 | 17308 |
Krishna R. Reddy | 58 | 400 | 11076 |
Ramayya Krishnan | 52 | 195 | 10378 |
Saroj K. Nayak | 49 | 149 | 8319 |
Dipak Kumar Sahoo | 47 | 234 | 7293 |
Ganapati Panda | 46 | 356 | 8888 |
Raj Kishore | 45 | 149 | 6886 |
Sukumar Mishra | 44 | 405 | 7905 |
Mar Barrio Luna | 43 | 179 | 5248 |
Chandra Sekhar Rout | 41 | 183 | 7736 |
Subhransu Ranjan Samantaray | 39 | 167 | 4880 |