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Institution

University of Rennes

EducationRennes, France
About: University of Rennes is a education organization based out in Rennes, France. It is known for research contribution in the topics: Population & Catalysis. The organization has 18404 authors who have published 40374 publications receiving 995327 citations.


Papers
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Journal ArticleDOI
TL;DR: These classification schemes are applied to full polarimetric P, L, and C-band SAR images of the Nezer Forest, France, acquired by the NASA/JPL AIRSAR sensor in 1989.
Abstract: Introduces a new classification scheme for dual frequency polarimetric SAR data sets. A (6/spl times/6) polarimetric coherency matrix is defined to simultaneously take into account the full polarimetric information from both images. This matrix is composed of the two coherency matrices and their cross-correlation. A decomposition theorem is applied to both images to obtain 64 initial clusters based on their scattering characteristics. The data sets are then classified by an iterative algorithm based on a complex Wishart density function of the 6/spl times/6 matrix. A class number reduction technique is then applied on the 64 resulting clusters to improve the efficiency of the interpretation and representation of each class. An alternative technique is also proposed which introduces the polarimetric cross-correlation information to refine the results of classification to a small number of clusters using the conditional probability of the cross-correlation matrix. These classification schemes are applied to full polarimetric P, L, and C-band SAR images of the Nezer Forest, France, acquired by the NASA/JPL AIRSAR sensor in 1989.

366 citations

Journal ArticleDOI
TL;DR: In this paper, Pb-Nd-Sr isotopic compositions were determined for high-Mg andesite (HMA) magmas and basalts from the Miocene Setouchi volcanic belt in the SW Japan arc.

365 citations

Journal ArticleDOI
TL;DR: A model based on a few-state description of the charge-transfer processes characterizing the low-energy physics of multipolar molecular systems is developed, offering important clues to understand basic properties of materials of interest for NLO and energy-harvesting applications.
Abstract: We present a joint theoretical and experimental work aimed to understand the spectroscopic behavior of multipolar dyes of interest for nonlinear optics (NLO) applications. In particular, we focus on the occurrence of broken-symmetry states in quadrupolar organic dyes and their spectroscopic consequences. To gain a unified description, we have developed a model based on a few-state description of the charge-transfer processes characterizing the low-energy physics of these systems. The model takes into account the coupling between electrons and slow degrees of freedom, namely, molecular vibrations and polar solvation coordinates. We predict the occurrence of symmetry breaking in either the ground or first excited state. In this respect, quadrupolar chromophores are classified in three different classes, with distinctively different spectroscopic behavior. Cases of true and false symmetry breaking are discriminated and discussed by making resort to nonadiabatic calculations. The theoretical model is applied to three representative quadrupolar chromophores: their qualitatively different solvatochromic properties are connected to the presence or absence of broken-symmetry states and related to two-photon absorption (TPA) cross-sections. The proposed approach provides useful guidelines for the synthesis of dyes for TPA application and represents a general and unifying reference frame to understand energy-transfer processes in multipolar molecular systems, offering important clues to understand basic properties of materials of interest for NLO and energy-harvesting applications.

365 citations

Journal ArticleDOI
TL;DR: In this article, a combination of simplified fuzzy adaptive Resonance theory map (SFAM) neural network and Weibull distribution (WD) is explored to predict the remaining useful life (RUL) of rolling element bearings.

363 citations

Journal ArticleDOI
TL;DR: Evaluating the resolving power of a source localization method based on a recent spatio-temporal algorithm used in magneto-encephalography suggests that both techniques are useful and may be used together in a complementary fashion.

360 citations


Authors

Showing all 18470 results

NameH-indexPapersCitations
Philippe Froguel166820118816
Bart Staels15282486638
Yi Yang143245692268
Geoffrey Burnstock141148899525
Shahrokh F. Shariat118163758900
Lutz Ackermann11666945066
Douglas R. MacFarlane11086454236
Elliott H. Lieb10751257920
Fu-Yuan Wu10736742039
Didier Sornette104129544157
Stefan Hild10345268228
Pierre I. Karakiewicz101120740072
Philippe Dubois101109848086
François Bondu10044069284
Jean-Michel Savéant9851733518
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
2022176
20212,655
20202,735
20192,670
20182,378