Institution
Indian Institute of Technology Indore
Education•Indore, Madhya Pradesh, India•
About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.
Topics: Computer science, Chemistry, Catalysis, Fading, Raman spectroscopy
Papers published on a yearly basis
Papers
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TL;DR: In this article, a novel porphyrin dye ZnP-triazine-(gly)2, consisting of a zinc-metallated porphin unit covalently linked through its peripheral aryl-amino group with a 1,3,5-Triazine group which is functionalized by two carboxylic acid groups of glycine moieties, has been synthesized.
46 citations
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TL;DR: This article presents a detailed discussion of various aspects of watermarking technologies on applications ranging from the embedding of marks in the pictorial information on paper to hardware protection.
Abstract: This article presents a detailed discussion of various aspects of watermarking technologies on applications ranging from the embedding of marks in the pictorial information on paper to hardware protection. Included in the present discussion are these general concepts: motivation for watermarking; analog versus digital watermarking; various applications of watermarking, such as paper marks, currency and postal stamps, multimedia, hardware protection and others; and security and performance metrics for evaluating a watermark.
46 citations
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Jaroslav Adam1, Dagmar Adamová2, Madan M. Aggarwal3, G. Aglieri Rinella4 +1034 more•Institutions (99)
TL;DR: In this paper, different methods used for such a measurement in ALICE by means of the T0 and the TOF detectors are reviewed and the improvement of the particle identification separation power of the methods used are presented for the different LHC colliding systems (pp, p-Pb, and Pb-pb) during the first period of data taking of LHC (RUN 1).
Abstract: Particle identification is an important feature of the ALICE detector at the LHC. In particular, for particle identification via the time-of-flight technique, the precise determination of the event collision time represents an important ingredient of the quality of the measurement. In this paper, the different methods used for such a measurement in ALICE by means of the T0 and the TOF detectors are reviewed. Efficiencies, resolution and the improvement of the particle identification separation power of the methods used are presented for the different LHC colliding systems (pp, p-Pb and Pb-Pb) during the first period of data taking of LHC (RUN 1).
46 citations
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TL;DR: In this paper, the authors discuss the case for magnetic clouds (MCs), interplanetary sheaths upstream of inter-planetary coronal mass ejections (ICMEs), Corotating interaction regions (CIRs) and solar wind high-speed streams (HSSs).
Abstract: . Major geomagnetic storms are caused by unusually intense solar wind
southward magnetic fields that impinge upon the Earth's magnetosphere
(Dungey, 1961). How can we predict the occurrence of future interplanetary
events? Do we currently know enough of the underlying physics and do we have
sufficient observations of solar wind phenomena that will impinge upon the
Earth's magnetosphere? We view this as the most important challenge in space
weather. We discuss the case for magnetic clouds (MCs), interplanetary
sheaths upstream of interplanetary coronal mass ejections (ICMEs),
corotating interaction regions (CIRs) and solar wind high-speed streams
(HSSs). The sheath- and CIR-related magnetic storms will be difficult to
predict and will require better knowledge of the slow solar wind and
modeling to solve. For interplanetary space weather, there are challenges
for understanding the fluences and spectra of solar energetic particles
(SEPs). This will require better knowledge of interplanetary shock
properties as they propagate and evolve going from the Sun to 1 AU (and
beyond), the upstream slow solar wind and energetic “seed” particles.
Dayside aurora, triggering of nightside substorms, and formation of new
radiation belts can all be caused by shock and interplanetary ram pressure
impingements onto the Earth's magnetosphere. The acceleration and loss of
relativistic magnetospheric “killer” electrons and prompt penetrating
electric fields in terms of causing positive and negative ionospheric storms
are reasonably well understood, but refinements are still needed. The
forecasting of extreme events (extreme shocks, extreme solar energetic
particle events, and extreme geomagnetic storms (Carrington events or
greater)) are also discussed. Energetic particle precipitation into the
atmosphere and ozone destruction are briefly discussed. For many of the
studies, the Parker Solar Probe, Solar Orbiter, Magnetospheric Multiscale
Mission (MMS), Arase, and SWARM data will be useful.
46 citations
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TL;DR: In this article, a layered perovskite was investigated for efficient visible light photocatalysis using the first principles study, where the electronic structure of the layered Sr2Ta2O7 was tuned by the anionic (N)/cationic (Mo, W) mono-and co-doping.
Abstract: The layered perovskite Sr2Ta2O7 has been investigated for efficient visible light photocatalysis using the first principles study. The electronic structure of Sr2Ta2O7 is tuned by the anionic (N)/cationic (Mo, W) mono- and co-doping. Such doping creates impurity states in the band gap and therefore reduces the band gap significantly. The absolute band edge position of the doped Sr2Ta2O7 with respect to the water oxidation/reduction potential depends a lot on the p/d-orbital’s energies of anionic/cationic dopants, respectively. The stability of the co-doped system is governed by the Coulomb interactions and charge compensation effects.
46 citations
Authors
Showing all 1738 results
Name | H-index | Papers | Citations |
---|---|---|---|
Raghunath Sahoo | 106 | 556 | 37588 |
Biswajeet Pradhan | 98 | 735 | 32900 |
A. Kumar | 96 | 505 | 33973 |
Franco Meddi | 84 | 476 | 24084 |
Manish Sharma | 82 | 1407 | 33361 |
Anindya Roy | 59 | 301 | 14306 |
Krishna R. Reddy | 58 | 400 | 11076 |
Sudipan De | 54 | 99 | 10774 |
Sudip Chakraborty | 51 | 343 | 9319 |
Shaikh M. Mobin | 51 | 515 | 11467 |
Ashok Kumar | 50 | 405 | 10001 |
Ankhi Roy | 49 | 259 | 8634 |
Aditya Nath Mishra | 49 | 139 | 7607 |
Ram Bilas Pachori | 48 | 182 | 8140 |
Pragati Sahoo | 47 | 133 | 6535 |