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Institution

Indian Institute of Technology Ropar

EducationRopar, India
About: Indian Institute of Technology Ropar is a education organization based out in Ropar, India. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1014 authors who have published 2878 publications receiving 35715 citations.


Papers
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Journal ArticleDOI
TL;DR: The role of favorable adsorption sites in MoS2 flakes for the enhanced interaction of target gases is revealed and a highly sensitive, reversible, and fast gas sensor for next-generation toxic gases at room temperature is developed.
Abstract: Toxic gases are produced during the burning of fossil fuels. Room temperature (RT) fast detection of toxic gases is still challenging. Recently, MoS2 transition metal dichalcogenides have sparked great attention in the research community due to their performance in gas sensing applications. However, MoS2 based gas sensors still suffer from long response and recovery times, especially at RT. Considering this challenge, here, we report photoactivated highly reversible and fast detection of NO2 sensors at room temperature (RT) by using mixed in-plane and edge-enriched p-MoS2 flakes (mixed MoS2). The sensor showed fast response with good sensitivity of ∼10.36% for 10 ppm of NO2 at RT without complete recovery. However, complete recovery was obtained with better sensor performance under UV light illumination at RT. The UV assisted NO2 sensing showed improved performance in terms of fast response and recovery kinetics with enhanced sensitivity to 10 ppm NO2 concentration. The sensor performance is also investig...

140 citations

Journal ArticleDOI
TL;DR: In this article, a new lattice hydrodynamic model is proposed by considering the interruption probability effect on traffic flow with passing and analyzed both theoretically and numerically both from linear and non-linear stability analysis, the effect of interruption probability on the phase diagram is investigated and the condition of existence for kink-antikink soliton solution of mKdV equation is derived.
Abstract: A new lattice hydrodynamic model is proposed by considering the interruption probability effect on traffic flow with passing and analyzed both theoretically and numerically. From linear and non-linear stability analysis, the effect of interruption probability on the phase diagram is investigated and the condition of existence for kink–antikink soliton solution of mKdV equation is derived. The stable region is enhanced with interruption probability and the jamming transition occurs from uniform flow to kink flow through chaotic flow for higher and intermediate values of non-interruption effect of passing. It is also observed that there exists conventional jamming transition between uniform flow and kink flow for lower values of non-interruption effect of passing. Numerical simulations are carried out and found in accordance with the theoretical findings which confirm that the effect of interruption probability plays an important role in stabilizing traffic flow when passing is allowed.

139 citations

Journal ArticleDOI
TL;DR: The theoretical findings are verified using numerical simulation which confirm that traffic jam can be suppressed efficiently by considering the anticipation effect in the new lattice model.
Abstract: In this paper, we studied the effect of driver’s anticipation with passing in a new lattice model. The effect of driver’s anticipation is examined through linear stability analysis and shown that the anticipation term can significantly enlarge the stability region on the phase diagram. Using nonlinear stability analysis, we obtained the range of passing constant for which kink soliton solution of mKdV equation exist. For smaller values of passing constant, uniform flow and kink jam phase are present on the phase diagram and jamming transition occurs between them. When passing constant is greater than the critical value depending on the anticipation coefficient, jamming transitions occur from uniform traffic flow to kink-bando traffic wave through chaotic phase with decreasing sensitivity. The theoretical findings are verified using numerical simulation which confirm that traffic jam can be suppressed efficiently by considering the anticipation effect in the new lattice model.

136 citations

Journal ArticleDOI
TL;DR: Various contextual issues associated with newly developed bioheat models are reviewed, including Dependence of these models on biological properties, viz., thermophysical and optical properties are discussed.

136 citations

Journal ArticleDOI
TL;DR: In this paper, a surface modified g-C3N4 was synthesized by the co-condensation of urea+thiourea and 2-methyl imidazole.
Abstract: Mimicking the artificial photosynthesis utilizing solar energy for the production of hydrocarbon fuel is a sustainable strategy to tackle the fossil fuel-based energy crisis. Herein, a surface-modified g-C3N4 was synthesized by the co-condensation of urea + thiourea and 2-methyl imidazole. Physicochemical characterizations reveal that O and C are co-doped, as evident by the XPS and solid-state NMR spectroscopy. The light absorption edge is red shifted, lifetimes of the charge carriers, and electron injection efficiencies are ameliorated appropriately. Photocatalysts are employed in the CO2 reduction (from TEOA dissolved water + CO2 gas mixture) and H2O2 production (from pure H2O and O2 in absence of any organic electron/proton donor) without involving any co-catalyst. CO2-adsorption/TPD measurements support the higher CO2 uptake and lower adsorption energy after the surface modification as confirmed from DFT calculation. Mott-Schottky and VBXPS confirm that C, O co-doping bring required thermodynamic potential that facilitates the CO2/CH3OH and O2/H2O2 reactions.

135 citations


Authors

Showing all 1056 results

NameH-indexPapersCitations
Rajesh Kumar1494439140830
Rajeev Ahuja85107232325
Surya Prakash Singh5573612989
Christopher C. Berndt542579941
S. Sitharama Iyengar5377613751
Sarit K. Das5227317410
R.P. Chhabra502888299
Narinder Singh454529028
Rajendra Srivastava441927153
Shirish H. Sonawane442245544
Dharmendra Tripathi371884298
Partha Pratim Roy364045505
Harpreet Singh352384090
Namita Singh342194217
Javed N. Agrewala321123073
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
202292
2021541
2020468
2019402
2018355