Institution
Polytechnic University of Milan
Education•Milan, Italy•
About: Polytechnic University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Finite element method & Population. The organization has 18231 authors who have published 58416 publications receiving 1229711 citations. The organization is also known as: PoliMi & L-NESS.
Topics: Finite element method, Population, Laser, Nonlinear system, Detector
Papers published on a yearly basis
Papers
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Queensland University of Technology1, University of Leicester2, Pennsylvania State University3, Delft University of Technology4, University of Cassino5, Chinese Academy of Sciences6, Edinburgh Napier University7, University of Cambridge8, ICM Partners9, Lund University10, Cooperative Institute for Research in Environmental Sciences11, Tallinn University of Technology12, University of Hong Kong13, Eindhoven University of Technology14, University of New South Wales15, Virginia Tech16, Polytechnic University of Milan17, Technical University of Denmark18, University of Colorado Boulder19, University of Maryland, College Park20, University of California, Berkeley21, Aalborg University22, University of Leeds23, Yale University24, Spanish National Research Council25, National University of Singapore26, Aalto University27, McGill University28, Peking University29
TL;DR: It is argued that existing evidence is sufficiently strong to warrant engineering controls targeting airborne transmission as part of an overall strategy to limit infection risk indoors, and that the use of engineering controls in public buildings would be an additional important measure globally to reduce the likelihood of transmission.
924 citations
TL;DR: A general, unifying model is proposed to capture the different aspects of an IFP system and use it to provide a complete and precise classification of the systems and mechanisms proposed so far.
Abstract: A large number of distributed applications requires continuous and timely processing of information as it flows from the periphery to the center of the system. Examples include intrusion detection systems which analyze network traffic in real-time to identify possible attacks; environmental monitoring applications which process raw data coming from sensor networks to identify critical situations; or applications performing online analysis of stock prices to identify trends and forecast future values.Traditional DBMSs, which need to store and index data before processing it, can hardly fulfill the requirements of timeliness coming from such domains. Accordingly, during the last decade, different research communities developed a number of tools, which we collectively call Information flow processing (IFP) systems, to support these scenarios. They differ in their system architecture, data model, rule model, and rule language. In this article, we survey these systems to help researchers, who often come from different backgrounds, in understanding how the various approaches they adopt may complement each other.In particular, we propose a general, unifying model to capture the different aspects of an IFP system and use it to provide a complete and precise classification of the systems and mechanisms proposed so far.
918 citations
TL;DR: The paper aims at analyzing the definitions of the DT concept in scientific literature, retracing it from the initial conceptualization in the aerospace field, to the most recent interpretations in the manufacturing domain and more specifically in Industry 4.0 and smart manufacturing research.
908 citations
TL;DR: The new design method is direct and can be applied using a single set of data generated by the plant, with no need for specific experiments nor iterations, and it is shown that the method searches for the global optimum of the design criterion.
901 citations
TL;DR: The concept that superconductivity competes with other orders in cuprate superconductors has become increasingly apparent, but obtaining direct evidence with bulk-sensitive probes is challenging as discussed by the authors.
Abstract: The concept that superconductivity competes with other orders in cuprate superconductors has become increasingly apparent, but obtaining direct evidence with bulk-sensitive probes is challenging We have used resonant soft x-ray scattering to identify two-dimensional charge fluctuations with an incommensurate periodicity of ~32 lattice units in the copper-oxide planes of the superconductors (Y,Nd)Ba(2)Cu(3)O(6+)(x), with hole concentrations of 009 to 013 per planar Cu ion The intensity and correlation length of the fluctuation signal increase strongly upon cooling down to the superconducting transition temperature (T(c)); further cooling below T(c) abruptly reverses the divergence of the charge correlations In combination with earlier observations of a large gap in the spin excitation spectrum, these data indicate an incipient charge density wave instability that competes with superconductivity
899 citations
Authors
Showing all 18743 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Alex J. Barker | 132 | 1273 | 84746 |
| Pierluigi Zotto | 128 | 1197 | 78259 |
| Andrea C. Ferrari | 126 | 636 | 124533 |
| Marco Dorigo | 105 | 657 | 91418 |
| Marcello Giroletti | 103 | 558 | 41565 |
| Luciano Gattinoni | 103 | 610 | 48055 |
| Luca Benini | 101 | 1453 | 47862 |
| Alberto Sangiovanni-Vincentelli | 99 | 934 | 45201 |
| Surendra P. Shah | 99 | 710 | 32832 |
| X. Sunney Xie | 98 | 225 | 44104 |
| Peter Nijkamp | 97 | 2407 | 50826 |
| Nicola Neri | 92 | 1122 | 41986 |
| Ursula Keller | 92 | 934 | 33229 |
| A. Rizzi | 91 | 653 | 40038 |
| Martin J. Blunt | 89 | 485 | 29225 |