scispace - formally typeset
Search or ask a question
Institution

Shiv Nadar University

EducationDadri, 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
More filters
Journal ArticleDOI
TL;DR: In this article, anisotropic morphology of self-doped ZnO (AZO) thin films of thicknesses 5,10, 15, 20, and 30 nm were compared with similar films deposited on pristine-Si substrates.
Abstract: Al-doped ZnO (AZO) thin films of thicknesses 5,10, 15, 20, and 30 nm were deposited on 500 eV argon ion-beam fabricated nanoscale self-organized rippled-Si substrates at room temperature and are compared with similar films deposited on pristine-Si substrates (without ripples). It is observed that morphology of self-organized AZO films is driven by the underlying substrate morphology. For instance, for pristine-Si substrates, a granular morphology evolves for all AZO films. On the other hand, for rippled-Si substrates, morphologies having chain-like arrangement (anisotropic in nature) are observed up to a thickness of 20 nm, while a granular morphology evolves (isotropic in nature) for 30 nm-thick film. Photoluminescence studies reveal that excitonic peaks corresponding to 5–15 nm-thick AZO films, grown on rippled-Si templates, show a blue shift of 8 nm and 3 nm, respectively, whereas the peak shift is negligible for 20-nm thick film (with respect to their pristine counter parts). The observed blue shifts are substantiated by diffuse reflectance study and attributed to quantum confinement effect, associated with the size of the AZO grains and their spatial arrangements driven by the anisotropic morphology of underlying rippled-Si templates. The present findings will be useful for making tunable AZO-based light-emitting devices.

26 citations

Journal ArticleDOI
TL;DR: An improvement in the electrochemical performance of MoS2/multiwalled carbon nanotubes (MWCNT) nanohybrid is reported and its performance in symmetric and asymmetric supercapacitor (ASC) assembly is explored.
Abstract: Excellent cyclic stability and fast charge/discharge capacity demonstrated by supercapacitors foster research interest into new electrode materials with 100% cycle life and high specific capacitance. We report an improvement in the electrochemical performance of MoS2/multiwalled carbon nanotubes (MWCNT) nanohybrid and intensively explored its performance in symmetric and asymmetric supercapacitor (ASC) assembly. The symmetric assembly of MoS2/MWCNT exhibits capacitance of around 274.63 F g-1 at 2 A g-1 with higher specific energy/power outputs (20.70 Wh kg-1/1.49 kW kg-1) as compared to the supercapacitor based on pristine MoS2 (5.82 Wh kg-1/1.07 kW kg-1). On the other hand, a unique all-carbon-based ASC assembled with MoS2/MWCNT and VSe2/MWCNT composite with K2SO4 as electrolyte delivers the highest energy density of 32.18 Wh kg-1 at a power density of 1.121 kW kg-1 with exceptional cycling stability and excellent retention of about 98.43% even after 5000 cycles. These outstanding results demonstrate the excellent electrochemical properties of both symmetric and asymmetric systems with high energy density and performance, which further enable them to be a potential candidate for supercapacitor applications.

26 citations

Journal ArticleDOI
TL;DR: It is suggested that once the road and street structure is put in place, that will influence whether a city has low or high traffic fatality rates, and a city with higher proportion of wider roads and large city blocks will tend to have higher trafficfatality rates and therefore require much more efforts in police enforcement and other road safety measures.

25 citations

Journal ArticleDOI
TL;DR: The design, synthesis, and characterization of a biobased non-halogen flame retardant, consisting of naturally occurring phenols, eugenol (E), and cardanol (C), and the presence of a covalently linked phosphazene (P) core allowed the synthesis of hexa-functional flame retardants molecules, abbreviated as EP and CP.
Abstract: Olefin bonds participate in co-reaction with the benzoxazine functionality of the monomer and is appeared as one of the strategies to affect the crosslink density of a polybenzoxazine network. In general, the double bond incorporation in starting material is usually catalysed by expensive, rare earth metals affecting the sustainability of the reaction. The natural abundance of feedstocks with inherent double bonds, may be a powerful platform for the development of novel greener structures, thus holds inspiring potential and applicability in polymers. Here, we report the design, synthesis and characterisation of biobased non-halogen flame retardant consisting of naturally occurring phenols, eugenol (E) and cardanol (C). The presence of covalently linked phosphazene (P) core allowed synthesis of hexa-functional flame retardant molecules, abbreviated as EP and CP. The chemical structures of the synthesised EP and CP was confirmed by Fourier transform infrared (FTIR), nuclear magnetic resonance (1H, 13C, 31P NMR) and single crystal XRD (only in the case of EP). Their polymerisation with cardanol sourced tri-oxazine benzoxazine monomer, C-trisapm, was followed by FTIR, NMR and DSC studies. The thermal stability and flame retardant properties of the hybrid phosphazene-benzoxazine copolymers was determined by thermogravimetry analysis (TGA), limiting oxygen index (LOI), vertical burning and smoke density analyses. SEM images of the char residues of the polymers with or without addition of reactive phosphazene molecules confirmed the intumescent flame retarding mechanism. Current work highlights the utility of sustainable origin non-halogen flame retardant (FR) molecules and their utility in polybenzoxazine chemistry.

25 citations

Journal ArticleDOI
TL;DR: TM-Aligner as discussed by the authors is based on Wu-Manber and dynamic string matching algorithm which has significantly improved its accuracy and speed of multiple sequence alignment and compared with prevailing other popular tools and performed benchmarking using three separate reference sets, BaliBASE3.0 reference set, structure based alignment of transmembrane proteins from Pfam database and structure alignment from GPCRDB.
Abstract: Membrane proteins plays significant role in living cells. Transmembrane proteins are estimated to constitute approximately 30% of proteins at genomic scale. It has been a difficult task to develop specific alignment tools for transmembrane proteins due to limited number of experimentally validated protein structures. Alignment tools based on homology modeling provide fairly good result by recapitulating 70-80% residues in reference alignment provided all input sequences should have known template structures. However, homology modeling tools took substantial amount of time, thus aligning large numbers of sequences becomes computationally demanding. Here we present TM-Aligner, a new tool for transmembrane protein sequence alignment. TM-Aligner is based on Wu-Manber and dynamic string matching algorithm which has significantly improved its accuracy and speed of multiple sequence alignment. We compared TM-Aligner with prevailing other popular tools and performed benchmarking using three separate reference sets, BaliBASE3.0 reference set7 of alpha-helical transmembrane proteins, structure based alignment of transmembrane proteins from Pfam database and structure alignment from GPCRDB. Benchmarking against reference datasets indicated that TM-Aligner is more advanced method having least turnaround time with significant improvements over the most accurate methods such as PROMALS, MAFFT, TM-Coffee, Kalign, ClustalW, Muscle and PRALINE. TM-Aligner is freely available through http://lms.snu.edu.in/TM-Aligner/ .

25 citations


Authors

Showing all 1055 results

NameH-indexPapersCitations
Dinesh Mohan7928335775
Vijay Kumar Thakur7437517719
Robert A. Taylor6257215877
Himanshu Pathak5625911203
Gurmit Singh542708565
Vijay Kumar5177310852
Dimitris G. Kaskaoutis431355248
Ken Haenen392886296
Vikas Dudeja391434733
P. K. Giri381584528
Swadesh M Mahajan382555389
Rohini Garg37884388
Rajendra Bhatia361549275
Rakesh Ganguly352404415
Sonal Singhal341804174
Network Information
Related Institutions (5)
Jadavpur University
27.6K papers, 422K citations

90% related

Indian Institute of Technology Delhi
26.9K papers, 503.8K citations

89% related

Indian Institute of Technology Kanpur
28.6K papers, 576.8K citations

88% related

Indian Institute of Technology Roorkee
21.4K papers, 419.9K citations

88% related

Indian Institute of Science
62.4K papers, 1.2M citations

88% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202256
2021356
2020322
2019227
2018176