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Institution

Tata Institute of Fundamental Research

EducationMumbai, Maharashtra, India
About: Tata Institute of Fundamental Research is a education organization based out in Mumbai, Maharashtra, India. It is known for research contribution in the topics: Magnetization & Large Hadron Collider. The organization has 7786 authors who have published 21742 publications receiving 622368 citations. The organization is also known as: TIFR.


Papers
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Journal ArticleDOI
29 Aug 2012
TL;DR: In this paper, a measurement of W-boson production in PbPb collisions carried out at a nucleon-nucleon (NN) centre-of-mass energy sqrt(s[NN]) of 2.76 TeV at the LHC using the CMS detector.
Abstract: A measurement is presented of W-boson production in PbPb collisions carried out at a nucleon-nucleon (NN) centre-of-mass energy sqrt(s[NN]) of 2.76 TeV at the LHC using the CMS detector. In data corresponding to an integrated luminosity of 7.3 inverse microbarns, the number of W to mu mu-neutrino decays is extracted in the region of muon pseudorapidity abs(eta[mu]) 25 GeV. Yields of muons found per unit of pseudorapidity correspond to (159 +/- 10 (stat.) +/- 12 (syst.)) 10E-8 W(plus) and (154 +/- 10 (stat.) +/- 12 (syst.)) 10E-8 W(minus) bosons per minimum-bias PbPb collision. The dependence of W production on the centrality of PbPb collisions is consistent with a scaling of the yield by the number of incoherent NN collisions. The yield of W bosons is also studied in a sample of pp interactions at sqrt(s)= 2.76 TeV corresponding to an integrated luminosity of 231 inverse nanobarns. The individual W(plus) and W(minus) yields in PbPb and pp collisions are found to agree, once the neutron and proton content in Pb nuclei is taken into account. Likewise, the difference observed in the dependence of the positive and negative muon production on pseudorapidity is consistent with next-to-leading order perturbative QCD calculations.

136 citations

Journal ArticleDOI
Abstract: Determining a suitable noble-metal-free catalyst for hydrogen evolution reaction (HER) by photoelectrocatalytic (PEC) water splitting is an enduring challenge. Here, the molecular origin of number of layers and stacking sequence-dependent PEC HER performance of MoS2/graphene (MoS2/GR) van der Waals (vdW) vertical heterostructures is studied. Density functional theory (DFT) based calculations show that the presence of MoS2 induces p-type doping in GR, which facilitates hydrogen adsorption in the GR side compared to the MoS2 side with ΔGH closer to 0 eV in the MoS2/GR bilayer vertical stacks. The activity maximizes in graphene with monolayer MoS2 and reduces further for bilayer and multilayers of MoS2. The PEC HER performance is studied in various electrodes, namely, single-layer graphene, single- and few-layered MoS2, and their two different types of vertical heterojunctions having different stacking sequences. The graphene on top of MoS2 sequence showed the highest photoresponse with large reaction curren...

136 citations

Posted ContentDOI
Valentina Parma1, Kathrin Ohla2, Maria G. Veldhuizen3, Masha Y. Niv4, Christine E. Kelly, Alyssa J. Bakke5, Keiland W. Cooper6, Cédric Bouysset7, Nicola Pirastu8, Michele Dibattista9, Rishemjit Kaur10, Marco Tullio Liuzza11, Marta Yanina Pepino12, Veronika Schöpf13, Veronica Pereda-Loth14, Shannon B. Olsson15, Richard C. Gerkin16, Paloma Rohlfs Domínguez17, Javier Albayay18, Michael C. Farruggia19, Surabhi Bhutani20, Alexander Fjaeldstad21, Ritesh Kumar22, Anna Menini23, Moustafa Bensafi24, Mari Sandell25, Iordanis Konstantinidis, Antonella Di Pizio26, Federica Genovese27, Lina Öztürk3, Thierry Thomas-Danguin, Johannes Frasnelli28, Sanne Boesveldt29, Ozlem Saatci, Luis R. Saraiva, Cailu Lin27, Jérôme Golebiowski7, Liang-Dar Hwang30, Mehmet Hakan Ozdener27, M.D. Guàrdia, Christophe Laudamiel, Marina Ritchie6, Jan Havlíček31, Denis Pierron14, Eugeni Roura30, Marta Navarro30, Alissa A. Nolden32, Juyun Lim33, Katherine L. Whitcroft, Lauren R. Colquitt27, Camille Ferdenzi24, Evelyn V. Brindha34, Aytug Altundag, Alberto Macchi, Alexia Nunez-Parra35, Zara M. Patel36, Sébastien Fiorucci7, Carl Philpott37, Barry C. Smith38, Johan N. Lundström39, Carla Mucignat18, Jane K. Parker40, Mirjam van den Brink41, Michael Schmuker22, Florian Ph. S. Fischmeister42, Thomas Heinbockel43, Vonnie D. C. Shields44, Farhoud Faraji45, Enrique Santamaría, William E.A. Fredborg46, Gabriella Morini47, Jonas Olofsson46, Maryam Jalessi48, Noam Karni49, Anna D'Errico50, Rafieh Alizadeh48, Robert Pellegrino51, Pablo Meyer52, Caroline Huart53, Ben Chen54, Graciela M. Soler, Mohammed K. Alwashahi55, Olagunju Abdulrahman56, Antje Welge-Lüssen57, Pamela Dalton27, Jessica Freiherr58, Carol H. Yan45, Jasper H. B. de Groot59, Vera V. Voznessenskaya, Hadar Klein4, Jingguo Chen60, Masako Okamoto61, Elizabeth Sell62, Preet Bano Singh63, Julie Walsh-Messinger64, Nicholas Archer65, Sachiko Koyama66, Vincent Deary67, S. Craig Roberts68, Huseyin Yanik3, Samet Albayrak69, Lenka Martinec Novákov31, Ilja Croijmans59, Patricia Portillo Mazal70, Shima T. Moein, Eitan Margulis4, Coralie Mignot, Sajidxa Mariño, Dejan Georgiev71, Pavan Kumar Kaushik72, Bettina Malnic73, Hong Wang27, Shima Seyed-Allaei, Nur Yoluk3, Sara Razzaghi74, Jeb M. Justice75, Diego Restrepo76, Julien W. Hsieh77, Danielle R. Reed27, Thomas Hummel78, Steven D. Munger75, John E. Hayes5 
Temple University1, Forschungszentrum Jülich2, Mersin University3, Hebrew University of Jerusalem4, Pennsylvania State University5, University of California, Irvine6, Centre national de la recherche scientifique7, University of Edinburgh8, University of Bari9, Central Scientific Instruments Organisation10, Magna Græcia University11, University of Illinois at Urbana–Champaign12, Medical University of Vienna13, University of Toulouse14, National Centre for Biological Sciences15, Arizona State University16, University of Extremadura17, University of Padua18, Yale University19, San Diego State University20, Aarhus University21, University of Hertfordshire22, International School for Advanced Studies23, French Institute of Health and Medical Research24, University of Helsinki25, Technische Universität München26, Monell Chemical Senses Center27, Université du Québec à Trois-Rivières28, Wageningen University and Research Centre29, University of Queensland30, Charles University in Prague31, University of Massachusetts Amherst32, Oregon State University33, Karunya University34, University of Chile35, Stanford University36, University of East Anglia37, University of London38, Karolinska Institutet39, University of Reading40, Maastricht University41, University of Graz42, Howard University43, Towson University44, University of California, San Diego45, Stockholm University46, University of Gastronomic Sciences47, Iran University of Medical Sciences48, Hadassah Medical Center49, Goethe University Frankfurt50, University of Tennessee51, IBM52, Cliniques Universitaires Saint-Luc53, Guangzhou Medical University54, Sultan Qaboos University55, Federal University of Technology Akure56, University Hospital of Basel57, University of Erlangen-Nuremberg58, Utrecht University59, Xi'an Jiaotong University60, University of Tokyo61, University of Pennsylvania62, University of Oslo63, University of Dayton64, Commonwealth Scientific and Industrial Research Organisation65, Indiana University66, Northumbria University67, University of Stirling68, Middle East Technical University69, Hospital Italiano de Buenos Aires70, Ljubljana University Medical Centre71, Tata Institute of Fundamental Research72, University of São Paulo73, Bilkent University74, University of Florida75, Anschutz Medical Campus76, Geneva College77, Dresden University of Technology78
24 May 2020-medRxiv
TL;DR: The results show that COVID-19-associated chemosensory impairment is not limited to smell, but also affects taste and chemesthesis, and suggest that SARS-CoV-2 infection may disrupt sensory-neural mechanisms.
Abstract: Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 and chemosensory impairments such as anosmia. However, these reports have downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, generally lacked quantitative measurements, were mostly restricted to data from single countries. Here, we report the development, implementation and initial results of a multi-lingual, international questionnaire to assess self-reported quantity and quality of perception in three distinct chemosensory modalities (smell, taste, and chemesthesis) before and during COVID-19. In the first 11 days after questionnaire launch, 4039 participants (2913 women, 1118 men, 8 other, ages 19-79) reported a COVID-19 diagnosis either via laboratory tests or clinical assessment. Importantly, smell, taste and chemesthetic function were each significantly reduced compared to their status before the disease. Difference scores (maximum possible change+/-100) revealed a mean reduction of smell (-79.7+/- 28.7, mean+/- SD), taste (-69.0+/- 32.6), and chemesthetic (-37.3+/- 36.2) function during COVID-19. Qualitative changes in olfactory ability (parosmia and phantosmia) were relatively rare and correlated with smell loss. Importantly, perceived nasal obstruction did not account for smell loss. Furthermore, chemosensory impairments were similar between participants in the laboratory test and clinical assessment groups. These results show that COVID-19-associated chemosensory impairment is not limited to smell, but also affects taste and chemesthesis. The multimodal impact of COVID-19 and lack of perceived nasal obstruction suggest that SARS-CoV-2 infection may disrupt sensory-neural mechanisms.

136 citations

Proceedings ArticleDOI
13 Jun 2007
TL;DR: A direct-sum theorem in communication complexity is derived by employing a rejection sampling procedure that relates the relative entropy between two distributions to the communication complexity of generating one distribution from the other.
Abstract: We examine the communication required for generating random variables remotely. One party Alice is given a distribution D, and she has to send a message to Bob, who is then required to generate a value with distribution exactly D. Alice and Bob are allowed to share random bits generated without the knowledge of D. There are two settings based on how the distribution D provided to Alice is chosen. If D is itself chosen randomly from some set (the set and distribution are known in advance) and we wish to minimize the expected communication in order for Alice to generate a value y, with distribution D, then we characterize the communication required in terms of the mutual information between the input to Alice and the output Bob is required to generate. If D is chosen from a set of distributions D, and we wish to devise a protocol so that the expected communication (the randomness comes from the shared random string and Alice's coin tosses) is small for each D isin D, then we characterize the communication required in this case in terms of the channel capacity associated with the set D. Our proofs are based on an improved rejection sampling procedure that relates the relative entropy between two distributions to the communication complexity of generating one distribution from the other. As an application of these results, we derive a direct sum theorem in communication complexity that substantially improves the previous such result shown by Jain et al. (2003).

136 citations

Journal ArticleDOI
TL;DR: In this article, the authors extended the entanglement entropy definition of Casini, Huerta, and Rosabal to the non-Abelian case and showed that the entropy does not agree with the maximum number of Bell pairs that can be extracted by the processes of entangler distillation or dilution, and gave protocols which achieve the maximum bound.
Abstract: A definition for the entanglement entropy in a gauge theory was given recently in arXiv:1501.02593. Working on a spatial lattice, it involves embedding the physical state in an extended Hilbert space obtained by taking the tensor product of the Hilbert space of states on each link of the lattice. This extended Hilbert space admits a tensor product decomposition by definition and allows a density matrix and entanglement entropy for the set of links of interest to be defined. Here, we continue the study of this extended Hilbert space definition with particular emphasis on the case of Non-Abelian gauge theories. We extend the electric centre definition of Casini, Huerta and Rosabal to the Non-Abelian case and find that it differs in an important term. We also find that the entanglement entropy does not agree with the maximum number of Bell pairs that can be extracted by the processes of entanglement distillation or dilution, and give protocols which achieve the maximum bound. Finally, we compute the topological entanglement entropy which follows from the extended Hilbert space definition and show that it correctly reproduces the total quantum dimension in a class of Toric code models based on Non-Abelian discrete groups.

136 citations


Authors

Showing all 7857 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Suvadeep Bose154960129071
Subir Sarkar1491542144614
Sw. Banerjee1461906124364
Dipanwita Dutta1431651103866
Ajit Kumar Mohanty141112493062
Tariq Aziz138164696586
Andrew Mehta1371444101810
Suchandra Dutta134126587709
Kajari Mazumdar134129594253
Bobby Samir Acharya1331121100545
Gobinda Majumder133152387732
Eric Conte132120684593
Prashant Shukla131134185287
Alessandro Montanari131138793071
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
2022128
2021939
20201,085
20191,100
20181,040