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Institution

Polytechnic University of Turin

EducationTurin, Piemonte, Italy
About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Nonlinear system. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.


Papers
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Journal ArticleDOI
TL;DR: This paper aims to elevate the notion of joint harmonic analysis to a full-fledged framework denoted as time-vertex signal processing, that links together the time-domain signal processing techniques with the new tools of graph signal processing.
Abstract: An emerging way to deal with high-dimensional noneuclidean data is to assume that the underlying structure can be captured by a graph. Recently, ideas have begun to emerge related to the analysis of time-varying graph signals. This paper aims to elevate the notion of joint harmonic analysis to a full-fledged framework denoted as time-vertex signal processing, that links together the time-domain signal processing techniques with the new tools of graph signal processing. This entails three main contributions: a) We provide a formal motivation for harmonic time-vertex analysis as an analysis tool for the state evolution of simple partial differential equations on graphs; b) we improve the accuracy of joint filtering operators by up-to two orders of magnitude; c) using our joint filters, we construct time-vertex dictionaries analyzing the different scales and the local time-frequency content of a signal. The utility of our tools is illustrated in numerous applications and datasets, such as dynamic mesh denoising and classification, still-video inpainting, and source localization in seismic events. Our results suggest that joint analysis of time-vertex signals can bring benefits to regression and learning.

161 citations

Journal ArticleDOI
TL;DR: In this paper, new calculated transport coefficients of air in the temperature range 50-100 000 K are presented by means of the perturbative Chapman-Enskog method, assuming that the plasma is in local thermodynamic equilibrium (LTE).
Abstract: In the paper new calculated transport coefficients of air in the temperature range 50-100 000 K are presented. The results have been obtained by means of the perturbative Chapman-Enskog method, assuming that the plasma is in local thermodynamic equilibrium (LTE). The calculations include viscosity, thermal conductivity, electric conductivity and multicomponent diffusion coefficients. For the calculation, a recent compilation of collision integrals obtained by Capitelli et al. [1] has been utilized. Analytical expression for all transport coefficients and thermodynamic parameters of the air plasma are also reported.

161 citations

Journal ArticleDOI
TL;DR: A reliability-oriented place and route algorithm is presented that is able to effectively mitigate the effects of the considered faults and is demonstrated by extensive fault injection experiments showing that the capability of tolerating SEU effects in the FPGA's configuration memory increases up to 85 times with respect to a standard TMR design technique.
Abstract: The very high integration levels reached by VLSI technologies for SRAM-based field programmable gate arrays (FPGAs) lead to high occurrence-rate of transient faults induced by single event upsets (SEUs) in FPGAs' configuration memory. Since the configuration memory defines which circuit an SRAM-based FPGA implements, any modification induced by SEUs may dramatically change the implemented circuit. When such devices are used in safety-critical applications, fault-tolerant techniques are needed to mitigate the effects of SEUs in FPGAs' configuration memory. In this paper, we analyze the effects induced by the SEUs in the configuration memory of SRAM-based FPGAs. The reported analysis outlines that SEUs in the FPGA's configuration memory are particularly critical since they are able to escape well-known fault masking techniques such as triple modular redundancy (TMR). We then present a reliability-oriented place and route algorithm that, coupled with TMR, is able to effectively mitigate the effects of the considered faults. The effectiveness of the new reliability-oriented place and route algorithm is demonstrated by extensive fault injection experiments showing that the capability of tolerating SEU effects in the FPGA's configuration memory increases up to 85 times with respect to a standard TMR design technique

161 citations

Journal ArticleDOI
25 Aug 2016-Polymers
TL;DR: This review thoroughly describes the advances and the potentialities offered by the phosphorus-based products recently developed at a lab-scale, highlighting the current limitations, open challenges and some perspectives toward their possible exploitation at a larger scale.
Abstract: This paper aims at updating the progress on the phosphorus-based flame retardants specifically designed and developed for fibers and fabrics (particularly referring to cotton, polyester and their blends) over the last five years. Indeed, as clearly depicted by Horrocks in a recent review, the world of flame retardants for textiles is still experiencing some changes that are focused on topics like the improvement of its effectiveness and the replacement of toxic chemical products with counterparts that have low environmental impact and, hence, are more sustainable. In this context, phosphorus-based compounds play a key role and may lead, possibly in combination with silicon- or nitrogen-containing structures, to the design of new, efficient flame retardants for fibers and fabrics. Therefore, this review thoroughly describes the advances and the potentialities offered by the phosphorus-based products recently developed at a lab-scale, highlighting the current limitations, open challenges and some perspectives toward their possible exploitation at a larger scale.

161 citations

Journal ArticleDOI
TL;DR: This study focuses on one of these iron-based MOFs, namely MIL-88A NPs, which are composed of iron(III) and fumaric acid and which have been shown to efficiently host chemotherapeutic drugs.
Abstract: Drug delivery systems aim at a reduction of side effects in chemotherapy. This is achieved by encapsulation of drugs in nanocarriers followed by controlled release of these drugs at the site of the diseased tissue. Though inorganic or polymeric nanoparticles (NPs) are often used as nanocarriers,(1, 2) hybrid nanomaterials such as metal−organic framework (MOF) NPs have recently emerged as a valuable alternative.(3-6) They are synthesized from inorganic and organic building block units to create porous three-dimensional frameworks. Because of this building principle, the composition and structure of these materials are highly tunable.(7-10) Furthermore, both external and internal surfaces can be functionalized independently. With these properties, MOF NPs can be designed to fit the specific requirements of the desired application.(3, 11) For drug delivery purposes these so-called “design materials” have been synthesized with high porosity allowing for high drug loading capacities. They also have been designed to be biodegradable. Specifically, iron-based MOF NPs have attracted great attention. In addition to the above-mentioned properties, they can be detected via magnetic resonance imaging (MRI), rendering them an ideal platform for theranostics.(12-14) In our study, we focus on one of these iron-based MOFs, namely MIL-88A NPs, which are composed of iron(III) and fumaric acid.(15, 16) Both compounds can be found in the body and the NPs are reported to be nontoxic.(12) Additionally, MIL-88A NPs have been shown to efficiently host chemotherapeutic drugs.(12) Thus, they represent a promising nanocarrier.

161 citations


Authors

Showing all 11854 results

NameH-indexPapersCitations
Rodney S. Ruoff164666194902
Silvia Bordiga10749841413
Sergio Ferrara10572644507
Enrico Rossi10360641255
Stefano Passerini10277139119
James Barber10264242397
Markus J. Buehler9560933054
Dario Farina9483232786
Gabriel G. Katul9150634088
M. De Laurentis8427554727
Giuseppe Caire8282540344
Christophe Fraser7626429250
Erasmo Carrera7582923981
Andrea Califano7530531348
Massimo Inguscio7442721507
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023210
2022487
20212,789
20202,969
20192,779
20182,509