Institution
Hydro-Québec
Government•Montreal, 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.
Topics: Electric power system, Dielectric, Electrolyte, Lithium, Electrode
Papers published on a yearly basis
Papers
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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
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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
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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
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23 Apr 1991TL;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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
John B. Goodenough | 151 | 1064 | 113741 |
Mark Sutton | 128 | 1009 | 78703 |
Pierre Legendre | 98 | 366 | 82995 |
Jackie Y. Ying | 89 | 587 | 35694 |
Karim Zaghib | 69 | 533 | 16785 |
Geza Joos | 67 | 514 | 15880 |
M. V. Reddy | 66 | 254 | 15772 |
Kamal Al-Haddad | 61 | 828 | 21017 |
Jean-Pol Dodelet | 59 | 164 | 18473 |
Taha B. M. J. Ouarda | 58 | 349 | 12230 |
Michael R. Wertheimer | 54 | 320 | 11003 |
Richard Martin | 54 | 339 | 11465 |
Michel Armand | 54 | 152 | 44873 |
Marc Lucotte | 50 | 169 | 8088 |
Abdelbast Guerfi | 49 | 215 | 6739 |