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Institution

Hydro-Québec

GovernmentMontreal, Quebec, Canada
About: Hydro-Québec is a government organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Electric power system & Dielectric. The organization has 2596 authors who have published 4433 publications receiving 100878 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, real-time optical and electrical diagnostics have been carried out on dielectric barrier discharges in flowing gases (air, He, N2) at atmospheric pressure.
Abstract: Synchronous, real-time optical and electrical diagnostics have been carried out on dielectric barrier discharges in flowing gases (air, He, N2) at atmospheric pressure A true “Atmospheric Pressure Glow Discharge” (APGD) is observed in N2 when O2 and H2 concentrations are below ≈500 ppm and 2500 ppm,respectively, and the APGD regime can be beneficially modified by suitably chosen dielectric coatings X-ray photoelectron spectroscopy (XPS) analyses of some APGD-treated polymer surfaces are presented

68 citations

Journal ArticleDOI
Jean-Pierre Crine1
TL;DR: In this paper, the activation entropy and enthalpy of a given process in a polymer are related by the thermal expansion coefficient and a constant approximately equal to the Rao acoustical parameter.
Abstract: This paper describes how the compensation law can be explained by a linear relation between the activation entropy and enthalpy of a given process in a polymer. These two variables are related by the thermal expansion coefficient and a constant approximately equal to the Rao acoustical parameter. A relation between the activation free energy and some thermodynamic parameters is presented. The activated volumes for the α and β relaxations of polyethylene are shown to vary with temperature and cry-stallinity. The activated volume has also been calculated for some other polymers and is of the order of 1 to 6 molar volumes at 295 K.

68 citations

Journal ArticleDOI
TL;DR: When compressed to an appropriate density, an improved cycling performance and increased energy density are shown compared to the uncalendered electrode and overcalendered electrode.
Abstract: High capacity and high density functional conductive polymer binder/SiO electrodes are fabricated and calendered to various porosities. The effect of calendering is investigated in the reduction of thickness and porosity, as well as the increase of density. SiO particle size remains unchanged after calendering. When compressed to an appropriate density, an improved cycling performance and increased energy density are shown compared to the uncalendered electrode and overcalendered electrode. The calendered electrode has a high-density of ∼1.2 g/cm3. A high loading electrode with an areal capacity of ∼3.5 mAh/cm2 at a C/10 rate is achieved using functional conductive polymer binder and simple and effective calendering method.

68 citations

Patent
23 Apr 1991
TL;DR: In this paper, the lithium battery is sandwiched between two metallic foils and a thermo-seal is provided to join the two polyethylene films, which prevents any outside substance from contacting the battery.
Abstract: Two metallic foils each have a continuous band of polyethylene film adhesively bonded thereto. The lithium battery is sandwiched between these two metallic foils and a thermo-seal is provided to join the two polyethylene films. This construction prevents any outside substance from contacting the lithium battery.

68 citations

Journal ArticleDOI
TL;DR: The performance of the three neural network paradigms was found to be equivalent in all respects, with the exception of the case where a distinction was required between small cavity sizes; under those circumstances, the learning vector quantization paradigm was distinctly superior to the two other paradigm.
Abstract: A comparison has been carried out on the partial discharge (PD) pulse shape recognition capabilities of neural networks, using the nearest neighbor classifier, learning vector quantization and multilayer perceptron paradigms. The PD pattern recognition capabilities were assessed on artificial cylindrical cavities of different sizes. The performance of the three neural network paradigms was found to be equivalent in all respects, with the exception of the case where a distinction was required between small cavity sizes; under those circumstances, the learning vector quantization paradigm was distinctly superior to the two other paradigms. The experimental results also demonstrated that, even with simple metallic electrode cavities, the discrimination capabilities of the three types of neural networks are not always perfect. >

68 citations


Authors

Showing all 2603 results

NameH-indexPapersCitations
John B. Goodenough1511064113741
Mark Sutton128100978703
Pierre Legendre9836682995
Jackie Y. Ying8958735694
Karim Zaghib6953316785
Geza Joos6751415880
M. V. Reddy6625415772
Kamal Al-Haddad6182821017
Jean-Pol Dodelet5916418473
Taha B. M. J. Ouarda5834912230
Michael R. Wertheimer5432011003
Richard Martin5433911465
Michel Armand5415244873
Marc Lucotte501698088
Abdelbast Guerfi492156739
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202256
2021115
2020173
2019162
2018156