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Institution

Indian Institute of Technology Bombay

EducationMumbai, India
About: Indian Institute of Technology Bombay is a education organization based out in Mumbai, India. It is known for research contribution in the topics: Population & Thin film. The organization has 16756 authors who have published 33588 publications receiving 570559 citations.


Papers
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Journal ArticleDOI
Joseph Adams1, C. Adler2, Madan M. Aggarwal3, Zubayer Ahammed4  +366 moreInstitutions (41)
TL;DR: In this article, the authors reconstructed hadrons in 0.15 4 4 GeV/c collisions with pp and Au+Au at the radical (s{sub NN}) = 200 GeV and the associated multiplicity and p{sub perpendicular} magnitude sum were found to increase from pp to central Au+AU collisions.
Abstract: Charged hadrons in 0.15 4 GeV/c are reconstructed in pp and Au+Au collisions at {radical}(s{sub NN})=200 GeV. The associated multiplicity and p{sub perpendicular} magnitude sum are found to increase from pp to central Au+Au collisions. The associated p{sub perpendicular} distributions, while similar in shape on the nearside, are significantly softened on the awayside in central Au+Au relative to pp and not much harder than that of inclusive hadrons. The results, consistent with jet quenching, suggest that the awayside fragments approach equilibration with the medium traversed.

403 citations

Journal ArticleDOI
TL;DR: A novel neural network architecture for encoding and synthesis of 3D shapes, particularly their structures, is introduced and it is demonstrated that without supervision, the network learns meaningful structural hierarchies adhering to perceptual grouping principles, produces compact codes which enable applications such as shape classification and partial matching, and supports shape synthesis and interpolation with significant variations in topology and geometry.
Abstract: We introduce a novel neural network architecture for encoding and synthesis of 3D shapes, particularly their structures. Our key insight is that 3D shapes are effectively characterized by their hierarchical organization of parts, which reflects fundamental intra-shape relationships such as adjacency and symmetry. We develop a recursive neural net (RvNN) based autoencoder to map a flat, unlabeled, arbitrary part layout to a compact code. The code effectively captures hierarchical structures of man-made 3D objects of varying structural complexities despite being fixed-dimensional: an associated decoder maps a code back to a full hierarchy. The learned bidirectional mapping is further tuned using an adversarial setup to yield a generative model of plausible structures, from which novel structures can be sampled. Finally, our structure synthesis framework is augmented by a second trained module that produces fine-grained part geometry, conditioned on global and local structural context, leading to a full generative pipeline for 3D shapes. We demonstrate that without supervision, our network learns meaningful structural hierarchies adhering to perceptual grouping principles, produces compact codes which enable applications such as shape classification and partial matching, and supports shape synthesis and interpolation with significant variations in topology and geometry.

403 citations

Journal ArticleDOI
Mansi M. Kasliwal1, Ehud Nakar2, Leo Singer3, Leo Singer4, David L. Kaplan5, David O. Cook1, A. Van Sistine5, R. M. Lau1, Christoffer Fremling1, Ore Gottlieb2, Jacob E. Jencson1, Scott M. Adams1, U. Feindt6, Kenta Hotokezaka7, Sourav Ghosh5, Daniel A. Perley8, Po-Chieh Yu9, Tsvi Piran10, James R. Allison11, James R. Allison12, G. C. Anupama13, Arvind Balasubramanian14, Keith W. Bannister15, John Bally16, Jennifer Barnes17, Sudhanshu Barway, Eric C. Bellm18, Varun Bhalerao19, Deb Sankar Bhattacharya20, Nadejda Blagorodnova1, Joshua S. Bloom21, Joshua S. Bloom22, Patrick Brady5, Chris Cannella1, Deep Chatterjee5, S. B. Cenko4, S. B. Cenko3, B. E. Cobb23, Chris M. Copperwheat8, A. Corsi24, Kaushik De1, Dougal Dobie15, Dougal Dobie12, Dougal Dobie11, S. W. K. Emery25, Phil Evans26, Ori D. Fox27, Dale A. Frail28, C. Frohmaier29, C. Frohmaier30, Ariel Goobar6, Gregg Hallinan1, Fiona A. Harrison1, George Helou1, Tanja Hinderer31, Anna Y. Q. Ho1, Assaf Horesh10, Wing-Huen Ip7, Ryosuke Itoh32, Daniel Kasen22, Hyesook Kim, N. P. M. Kuin25, Thomas Kupfer1, Christene Lynch11, Christene Lynch12, K. K. Madsen1, Paolo A. Mazzali33, Paolo A. Mazzali8, Adam A. Miller34, Adam A. Miller35, Kunal Mooley36, Tara Murphy11, Tara Murphy12, Chow-Choong Ngeow9, David A. Nichols31, Samaya Nissanke31, Peter Nugent21, Peter Nugent22, Eran O. Ofek37, H. Qi5, Robert M. Quimby38, Robert M. Quimby39, Stephan Rosswog6, Florin Rusu40, Elaine M. Sadler12, Elaine M. Sadler11, Patricia Schmidt31, Jesper Sollerman6, Iain A. Steele8, A. R. Williamson31, Y. Xu1, Lin Yan1, Yoichi Yatsu32, C. Zhang5, Weijie Zhao40 
TL;DR: In this paper, the authors established the physical association of an electromagnetic counterpart EM170817 to gravitational waves (GW 170817) detected from merging neutron stars by synthesizing a panchromatic dataset.
Abstract: Merging neutron stars offer an exquisite laboratory for simultaneously studying strong-field gravity and matter in extreme environments. We establish the physical association of an electromagnetic counterpart EM170817 to gravitational waves (GW170817) detected from merging neutron stars. By synthesizing a panchromatic dataset, we demonstrate that merging neutron stars are a long-sought production site forging heavy elements by r-process nucleosynthesis. The weak gamma-rays seen in EM170817 are dissimilar to classical short gamma-ray bursts with ultra-relativistic jets. Instead, we suggest that breakout of a wide-angle, mildly-relativistic cocoon engulfing the jet elegantly explains the low-luminosity gamma-rays, the high-luminosity ultraviolet-optical-infrared and the delayed radio/X-ray emission. We posit that all merging neutron stars may lead to a wide-angle cocoon breakout; sometimes accompanied by a successful jet and sometimes a choked jet.

403 citations

Journal ArticleDOI
TL;DR: In this study, AgNPs were immobilized on an amine-functionalized silica surface and their bactericidal activity was studied concurrently with the silver release profile over time, concluding that contact killing is the predominant bactericidal mechanism and surface immobilized nanoparticles show greater efficacy than colloidal AgNPS, as well as a higher concentration of silver ions in solution.
Abstract: Antimicrobial materials with immobilized/entrapped silver nanoparticles (AgNPs) are of considerable interest. There is significant debate on the mode of bactericidal action of AgNPs, and both contact killing and/or ion mediated killing have been proposed. In this study, AgNPs were immobilized on an amine-functionalized silica surface and their bactericidal activity was studied concurrently with the silver release profile over time. This was compared with similar studies performed using colloidal AgNPs and AgCl surfaces that released Ag ions. We conclude that contact killing is the predominant bactericidal mechanism and surface immobilized nanoparticles show greater efficacy than colloidal AgNPs, as well as a higher concentration of silver ions in solution. In addition, the AgNP immobilized substrate was used multiple times with good efficacy, indicating this immobilization protocol is effective for retaining AgNPs while maintaining their disinfection potential. The antibacterial surface was found to be extremely stable in aqueous medium and no significant leaching (∼1.15% of total silver deposited) of the AgNPs was observed. Thus, immobilization of AgNPs on a surface may promote reuse, reduce environmental risks associated with leaching of AgNPs and enhance cost effectiveness.

401 citations

Journal ArticleDOI
TL;DR: In this article, three analytical studies of base-isolated structures are carried out, and the effect of isolation damping on the performance of different isolation systems under near-fault motion is investigated.
Abstract: Three analytical studies of base-isolated structures are carried out. First, six pairs of near-fault motions oriented in directions parallel and normal to the fault were considered, and the average of the response spectra of these earthquake records was obtained. This study shows that in addition to pulse-type displacements, these motions contain significant energy at high frequencies and that the real and pseudo-velocity spectra are quite different. The second analysis modelled the response of a model of an isolated structure with a flexible superstructure to study the effect of isolation damping on the performance of different isolation systems under near-fault motion. The results show that there exists a value of isolation system damping for which the superstructure acceleration for a given structural system attains a minimum value under near-fault motion. Therefore, although increasing the bearing damping beyond a certain value may decrease the bearing displacement, it may transmit higher accelerations into the superstructure. Finally, the behaviour of four isolation systems subjected to the normal component of each of the near-fault motions were studied, showing that EDF type isolation systems may be the optimum choice for the design of isolated structures in near-fault locations. Copyright © 2001 John Wiley & Sons, Ltd.

396 citations


Authors

Showing all 17055 results

NameH-indexPapersCitations
Jovan Milosevic1521433106802
C. N. R. Rao133164686718
Robert R. Edelman11960549475
Claude Andre Pruneau11461045500
Sanjeev Kumar113132554386
Basanta Kumar Nandi11257243331
Shaji Kumar111126553237
Josep M. Guerrero110119760890
R. Varma10949741970
Vijay P. Singh106169955831
Vinayak P. Dravid10381743612
Swagata Mukherjee101104846234
Anil Kumar99212464825
Dhiman Chakraborty9652944459
Michael D. Ward9582336892
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023175
2022433
20213,013
20203,093
20192,760
20182,549