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Institution

Paul Sabatier University

EducationToulouse, France
About: Paul Sabatier University is a education organization based out in Toulouse, France. It is known for research contribution in the topics: Population & Catalysis. The organization has 15431 authors who have published 23386 publications receiving 858364 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a conduction model aimed at describing bipolar transport and space charge phenomena in low density polyethylene under dc stress is presented, which is able to describe the general features reported for external current, electroluminescence and charge distribution.
Abstract: We present a conduction model aimed at describing bipolar transport and space charge phenomena in low density polyethylene under dc stress. In the first part we recall the basic requirements for the description of charge transport and charge storage in disordered media with emphasis on the case of polyethylene. A quick review of available conduction models is presented and our approach is compared with these models. Then, the bases of the model are described and related assumptions are discussed. Finally, results on external current, trapped and free space charge distributions, field distribution and recombination rate are presented and discussed, considering a constant dc voltage, a step-increase of the voltage, and a polarization–depolarization protocol for the applied voltage. It is shown that the model is able to describe the general features reported for external current, electroluminescence and charge distribution in polyethylene.

196 citations

Journal ArticleDOI
TL;DR: In this paper, a kinetic model of low-pressure DC flowing discharges in - mixtures is presented, where the only input parameters are those that can externally be chosen in experiments, such as total gas pressure, radius and length of the discharge tube, discharge current, gas flow rate and initial gas temperature and composition.
Abstract: This work is the first of two companion papers devoted to the kinetic modelling of low-pressure DC flowing discharges in - mixtures. While the present paper is mainly concerned with bulk discharge processes, the second one investigates surface processes involving dissociated N and H atoms, which are essential to understand the discharge properties. The global model combining bulk and surface processes as described in these two papers is self-contained in the sense that the sole input parameters it requires are those that can externally be chosen in experiments, namely: total gas pressure, radius and length of the discharge tube, discharge current, gas flow rate and initial gas temperature and composition (e.g., the relative hydrogen concentration X in the binary mixture at the discharge inlet). For a given set of input parameters, this model enables one to calculate the following bulk plasma properties as a function of the axial coordinate z: concentration of , , NH, , molecules and N, H atoms in the ground electronic state; population in the electronically excited states , (an effective high Rydberg state) and ; concentration of the ions , , , , , and ; vibrational level populations of and molecules; electron density , mean kinetic energy , characteristic energy and drift velocity ; discharge sustaining electric field E; average gas temperature across the tube T and wall temperature . The calculations are compared with data from different experiments in pure and discharges (measurements of electric field as a function of current and pressure) and in - discharges (measurements of relative changes in the electric field and the , concentrations as a function of the percentage). From the comparison to experiment, rate coefficients for associative ionization upon collisions between two excited molecules and deactivation of and by H atoms have been estimated from the model.

196 citations

Journal ArticleDOI
TL;DR: It is shown that the density averaged ansatz exhibits crucial, original (as compared to other SIC schemes) properties such as unitary robustness and applicability to semi-classical approaches.
Abstract: We present a simple density-averaged approach to the self-interaction-correction (SIC) methods of density functional theory. We discuss both formal properties and applications, considering particularly metal clusters as test cases. We show that the density averaged ansatz exhibits crucial, original (as compared to other SIC schemes) properties such as unitary robustness and applicability to semi-classical approaches. It is ideally suited to systems with well defined length and energy scales such as simple metal clusters.

195 citations

Journal ArticleDOI
TL;DR: The inverse relationship between the accumulation of hydroxyproline-rich glycoproteins and the ability of the pathogen to develop in the host has been checked by the quantification, in infected tissues, of glucosamine, a characteristic component of chitin-containing fungi.
Abstract: Enrichment of the cell wall in hydroxyproline-rich glycoprotein is involved in the defense of muskmelon ( Cucumis melo ) seedlings to Colletotrichum lagenarium , the causative agent of anthracnose. The extent to which this accumulation proceeds may be experimentally modified by treating plants with ethylene or growing them in the presence of free l- trans -hydroxyproline. It appears that the increase in the wall hydroxyproline-rich glycoprotein mediated through ethylene is paralleled by an increasing resistance of the host to the pathogen. Inversely, inhibiting the synthesis of this glycoprotein in diseased plants is strictly correlated to an accelerated and more intense colonization of the host by the pathogen. In both cases, the inverse relationship between the accumulation of hydroxyproline-rich glycoproteins and the ability of the pathogen to develop in the host has been checked by the quantification, in infected tissues, of glucosamine, a characteristic component of chitin-containing fungi.

195 citations


Authors

Showing all 15486 results

NameH-indexPapersCitations
Yury Gogotsi171956144520
Tobin J. Marks1591621111604
L. Montier13840397094
Jean-Paul Kneib13880589287
Olivier Forni13754895819
J. Aumont13129995006
Julian I. Schroeder12031550323
Bruno Vellas118101170667
Christopher G. Goetz11665159510
Didier Dubois11374254741
Alain Dufresne11135845904
Henri Prade10891754583
Louis Bernatchez10656835682
Walter Wahli10536549372
Patrice D. Cani10037049523
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
202293
2021759
2020753
2019728
2018622