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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.


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Journal ArticleDOI
TL;DR: Mahajan et al. as mentioned in this paper proposed a very general Electro-Vortical (EV) field to describe the dynamics of a perfect relativistic fluid, similar to the electromagnetic field Fμν, which unified the macroscopic forces into a single grand force that is the weighted sum of the electromagnetic and the inertial/thermal forces.
Abstract: Following the idea of MagnetoFluid unification [S. M. Mahajan, Phys. Rev. Lett. 90, 035001 (2003)], a very general Electro-Vortical (EV) field is constructed to describe the dynamics of a perfect relativistic fluid. Structurally similar to the electromagnetic field Fμν, the Electro-Vortical field Mνμ unifies the macroscopic forces into a single grand force that is the weighted sum of the electromagnetic and the inertial/thermal forces. The new effective force may be viewed either as a vortico-thermal generalization of the electromagnetic force or as the electromagnetic generalization of the vortico-thermal forces that a fluid element experiences in course of its evolution. Two fundamental consequences follow from this grand unification: (1) emergences of a new helicity that is conserved for arbitrary thermodynamics and (2) the entire dynamics is formally expressible as an MHD (magnetohydrodynamics) like ideal Ohm's law in which the “electric” and “magnetic” components of the EV field replace the standard electric and magnetic fields. In the light of these more and more encompassing conserved helicities, the “scope and significance” of the classical problem of magneto-genesis (need for a seed field to get a dynamo started) is reexamined. It is shown that in models more advanced than MHD, looking for exotic seed-generation mechanisms (like the baroclinic thermodynamics) should not constitute a fundamental pursuit; the totally ideal dynamics is perfectly capable of generating and sustaining magnetic fields entirely within its own devices. For a specified thermodynamics, a variety of exact and semi exact self-consistent analytical solutions for equilibrium magnetic and flow fields are derived for a single species charged fluid. The scale lengths of the fields are determined by two natural scale lengths: the skin depth and the gradient length of the thermodynamic quantities. Generally, the skin depth, being the shorter (even much shorter) than the gradient length, will characterize the kinetic-magnetic reservoir of short scale energy that will drive the dynamo as well as reverse dynamo action—the creation of large scale magnetic and flow fields.

22 citations

Journal ArticleDOI
TL;DR: In this article, a quantitative structure-property relationship (QSPR) model is used to supplement first-principles computations in materials design to generate highly predictive models that relate polymer repeat unit structure to glass transition temperature.
Abstract: We demonstrate applications of quantitative structure–property relationship (QSPR) modeling to supplement first-principles computations in materials design. We have here focused on the design of polymers with specific electronic properties. We first show that common materials properties such as the glass transition temperature (T g) can be effectively modeled by QSPR to generate highly predictive models that relate polymer repeat unit structure to T g. Next, QSPR modeling is shown to supplement and guide first-principles density functional theory (DFT) computations in the design of polymers with specific dielectric properties, thereby leveraging the power of first-principles computations by providing high-throughput capability. Our approach consists of multiple rounds of validated MQSPR modeling and DFT computations to optimize the polymer skeleton as well as functional group substitutions thereof. Rigorous model validation protocols insure that the statistical models are able to make valid predictions on molecules outside the training set. Future work with inverse QSPRs has the potential to further reduce the time to optimize materials properties.

22 citations

Journal ArticleDOI
TL;DR: It is concluded that Plasmodium proteases are suitable as multistage targets for designing novel drugs with new modes of action to combat malaria.
Abstract: Malaria, caused by protozoan of genus Plasmodium, remains one of the highest mortality infectious diseases. Malaria parasites have a complex life cycle, easily adapt to their host's immune system and have evolved with an arsenal of unique proteases which play crucial roles in proliferation and survival within the host cells. Owing to the existing knowledge of enzymatic mechanisms, 3D structures and active sites of proteases, they have been proven to be opportune for target based drug development. Here, we discuss in depth the crucial roles of essential proteases in Plasmodium life cycle and particularly focus on highlighting the atypical "structural signatures" of key parasite proteases which have been exploited for drug development. These features, on one hand aid parasites pathogenicity while on the other hand could be effective in designing targeted and very specific inhibitors for counteracting them. We conclude that Plasmodium proteases are suitable as multistage targets for designing novel drugs with new modes of action to combat malaria.

22 citations

Proceedings ArticleDOI
01 Nov 2016
TL;DR: In this article, a detailed analysis of power transfer efficiency between two independent coils separated by distance of 15 cm is presented, which involves an effect of coil geometrical dimensions on power transfer and mutual inductance between transmitter and receiver coils.
Abstract: Magnetic resonance coupling (MRC) based wireless power transfer (WPT) system is recognized as an efficient and promising technology for safe, convenient and elegant charging solution for various electronic portable devices. MRC technology helps in transferring power wirelessly from transmitter to receiver over larger distances. However in such loosely coupled systems, low power transfer efficiency is the major issue in comparison to conventional wired charging systems. The paper presents detailed analysis of power transfer efficiency between two independent coils separated by distance of 15 cm. The analysis involves an effect of coil geometrical dimensions on power transfer efficiency and mutual inductance between transmitter (T X ) and receiver coils (R X ). In addition, the investigations are further extended to analyze the role of shielding and effect of shielding geometry on power transfer efficiency and mutual inductance between the two coils.

22 citations

Journal ArticleDOI
TL;DR: In this article, a randomised intervention in Delhi, India, that provided unconditional cash transfers to a group of households as a replacement for the food security offered by a below-poverty-level card was examined.
Abstract: This article examines a randomised intervention in Delhi, India, that provided unconditional cash transfers to a group of households as a replacement for the food security offered by a below-poverty-level card. The experimental approach can differentiate beneficial effects due to either unconditional cash transfers or newly opened bank accounts. The unconditional cash transfer does not induce a decline in food security; rather, it provides opportunities for households to shift to other nutritious options in non-cereal product categories.

22 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202256
2021356
2020322
2019227
2018176