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Institution

Purdue University

EducationWest Lafayette, Indiana, United States
About: Purdue University is a education organization based out in West Lafayette, Indiana, United States. It is known for research contribution in the topics: Population & Heat transfer. The organization has 73219 authors who have published 163563 publications receiving 5775236 citations. The organization is also known as: Purdue & Purdue-West Lafayette.


Papers
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Journal ArticleDOI
Fumio Abe, H. Akimoto1, A. Akopian2, M. G. Albrow3  +443 moreInstitutions (34)
TL;DR: In this paper, the existence of the top quark was established using a data sample of collisions at the Fermilab National Ensemble (CDF) collected with the Collider Detector.
Abstract: We establish the existence of the top quark using a $67{\mathrm{pb}}^{\ensuremath{-}1}$ data sample of $\overline{p}p$ collisions at $\sqrt{s}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}1.8\mathrm{TeV}$ collected with the Collider Detector at Fermilab (CDF). Employing techniques similar to those we previously published, we observe a signal consistent with $t\overline{t}$ decay to $\mathrm{WWb}\overline{b}$, but inconsistent with the background prediction by $4.8\ensuremath{\sigma}$. Additional evidence for the top quark is provided by a peak in the reconstructed mass distribution. We measure the top quark mass to be $176\ifmmode\pm\else\textpm\fi{}8(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}10(\mathrm{syst})\mathrm{GeV}{/c}^{2}$, and the $t\overline{t}$ production cross section to be ${6.8}_{\ensuremath{-}2.4}^{+3.6}\mathrm{pb}$.

1,022 citations

Journal ArticleDOI
Sidney Diamond1
TL;DR: In this article, the conditions that must be met for MIP measurements to provide valid estimates of the pore size distribution of porous solids are reviewed and evidence is presented indicating that these conditions are not satisfied in cement-based systems.

1,017 citations

Journal ArticleDOI
Kent D. Miller1
TL;DR: In this paper, a framework for categorizing the uncertainties faced by firms operating internationally and outlining both financial and strategic corporate risk management responses is proposed, which is based on the analysis of risk in the international management literature to the exclusion of other interrelated uncertainties.
Abstract: Treatments of risk in the international management literature largely focus on particular uncertainties to the exclusion of other interrelated uncertainties. This paper develops a framework for categorizing the uncertainties faced by firms operating internationally and outlines both financial and strategic corporate risk management responses.

1,017 citations

Proceedings ArticleDOI
14 Jun 2017
TL;DR: In this paper, the authors proposed a novel deep neural network architecture which allows it to learn without any significant increase in number of parameters and achieves state-of-the-art performance on CamVid and Cityscapes dataset.
Abstract: Pixel-wise semantic segmentation for visual scene understanding not only needs to be accurate, but also efficient in order to find any use in real-time application. Existing algorithms even though are accurate but they do not focus on utilizing the parameters of neural network efficiently. As a result they are huge in terms of parameters and number of operations; hence slow too. In this paper, we propose a novel deep neural network architecture which allows it to learn without any significant increase in number of parameters. Our network uses only 11.5 million parameters and 21.2 GFLOPs for processing an image of resolution 3 × 640 × 360. It gives state-of-the-art performance on CamVid and comparable results on Cityscapes dataset. We also compare our networks processing time on NVIDIA GPU and embedded system device with existing state-of-the-art architectures for different image resolutions.

1,015 citations

Journal ArticleDOI
05 May 2016-Nature
TL;DR: This work demonstrates an alternative approach that uses machine-learning algorithms trained on reaction data to predict reaction outcomes for the crystallization of templated vanadium selenites, and successfully predicted conditions for new organically Templated inorganic product formation.
Abstract: Failed chemical reactions are rarely reported, even though they could still provide information about the bounds on the reaction conditions needed for product formation; here data from such reactions are used to train a machine-learning algorithm, which is subsequently able to predict reaction outcomes with greater accuracy than human intuition.

1,015 citations


Authors

Showing all 73693 results

NameH-indexPapersCitations
Yi Cui2201015199725
Yi Chen2174342293080
David Miller2032573204840
Hongjie Dai197570182579
Chris Sander178713233287
Richard A. Gibbs172889249708
Richard H. Friend1691182140032
Charles M. Lieber165521132811
Jian-Kang Zhu161550105551
David W. Johnson1602714140778
Robert Stone1601756167901
Tobin J. Marks1591621111604
Joseph Wang158128298799
Ed Diener153401186491
Wei Zheng1511929120209
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023194
2022834
20217,499
20207,699
20197,294
20186,840