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Institution

Grenoble Institute of Technology

EducationGrenoble, France
About: Grenoble Institute of Technology is a education organization based out in Grenoble, France. It is known for research contribution in the topics: Hyperspectral imaging & Geology. The organization has 3427 authors who have published 5345 publications receiving 137158 citations. The organization is also known as: Grenoble INP.


Papers
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Journal ArticleDOI
TL;DR: A new methodology for Design Space Exploration (DSE) in the context of High-Level Synthesis (HLS) for HPC and embedded systems targeting FPGAs, which shows a high generation time speed-up compared to one other existing HLS approach, while preserving correct performance of the generated circuits.

39 citations

Journal ArticleDOI
Catherine Adloff1, J. Blaha1, J. J. Blaising1, C. Drancourt1  +183 moreInstitutions (25)
TL;DR: In this article, a steel-scintillator calorimeter was used for the International Linear Collider (ILC) detectors, with steel as absorber and scintillators as active material.
Abstract: The CALICE collaboration is studying the design of high performance electromagnetic and hadronic calorimeters for future International Linear Collider detectors. For the hadronic calorimeter, one option is a highly granular sampling calorimeter with steel as absorber and scintillator layers as active material. High granularity is obtained by segmenting the scintillator into small tiles individually read out via silicon photo-multipliers (SiPM). A prototype has been built, consisting of thirty-eight sensitive layers, segmented into about eight thousand channels. In 2007 the prototype was exposed to positrons and hadrons using the CERN SPS beam, covering a wide range of beam energies and angles of incidence. The challenge of cell equalization and calibration of such a large number of channels is best validated using electromagnetic processes. The response of the prototype steel-scintillator calorimeter, including linearity and uniformity, to electrons is investigated and described.

39 citations

Journal ArticleDOI
TL;DR: The OSQAR photon regeneration experiment as mentioned in this paper showed that the di-photon couplings of possible new light scalar and pseudo-scalar particles can be constrained in the massless limit to be less than $8.0\times10^{-8}$ GeV$^{-1}
Abstract: Recent theoretical and experimental studies highlight the possibility of new fundamental particle physics beyond the Standard Model that can be probed by sub-eV energy experiments. The OSQAR photon regeneration experiment looks for "Light Shining through a Wall" (LSW) from the quantum oscillation of optical photons into "Weakly Interacting Sub-eV Particles" (WISPs), like axion or axion-like particles (ALPs), in a 9 T transverse magnetic field over the unprecedented length of $2 \times 14.3$ m. No excess of events has been detected over the background. The di-photon couplings of possible new light scalar and pseudo-scalar particles can be constrained in the massless limit to be less than $8.0\times10^{-8}$ GeV$^{-1}$. These results are very close to the most stringent laboratory constraints obtained for the coupling of ALPs to two photons. Plans for further improving the sensitivity of the OSQAR experiment are presented.

39 citations

Journal ArticleDOI
TL;DR: In this paper, a review of electrostatically-doped devices fabricated with emerging or mature technologies (nanowires, nanotubes, 2D materials, FD-SOI) is discussed by underlining the difference with classical physical diodes.
Abstract: Electrostatic doping aims at replacing donor/acceptor dopant species with free electron/hole charges induced by the gates in ultrathin MOS structures. Highly doped N+/P+ terminals and virtual P-N junctions can be emulated in undoped layers prompting innovative reconfigurable devices with enriched functionality. The distinct merit is that the carrier concentration and polarity (i.e., electrostatic doping) are tunable via the gate bias. After presenting the fundamentals, we review the family of electrostatically-doped devices fabricated with emerging or mature technologies (nanowires, nanotubes, 2D materials, FD-SOI). The multiple facets of the Hocus Pocus diode are discussed by underlining the difference with classical physical diodes. Electrostatic doping gave rise to a number of band-modulation devices with outstanding memory and sharp-switching capability. The concept, intrinsic mechanisms and typical applications are described in detail.

39 citations

Journal ArticleDOI
TL;DR: Kundzewicz et al. as discussed by the authors used an energy balance model and two simple methods based on readily available data to identify the processes driving the point-scale energy and mass balance of the snowpack.
Abstract: In this study, we used an energy balance model and two simple methods based on readily available data to identify the processes driving the point-scale energy and mass balance of the snowpack. Data were provided from an experimental site located at 3200 m. All models were evaluated by comparing observed and modelled snow water equivalents. Performances are variable from one season to the next and the energy balance model gives better results (mean of root mean square error, RMSE = 25 mm and r2 = 0.90) than the two simplified approaches (mean of RMSE = 54 mm and r2 = 0.70). There are significant amounts of snow sublimation but they are highly variable from season to season, depending on wind conditions (between 7 and 20% of the total). While the main source of energy for melting is net radiation, the amount of heat brought by sensible heat flux is significant for two of the most windy snow seasons.Editor Z.W. Kundzewicz Associate editor not assigned

39 citations


Authors

Showing all 3527 results

NameH-indexPapersCitations
J. F. Macías-Pérez13448694715
J-Y. Hostachy11971665686
Alain Dufresne11135845904
David Brown105125746827
Raphael Noel Tieulent8941724926
Antonio Plaza7963129775
G. Conesa Balbastre7620818800
Jocelyn Chanussot7361427949
Ekhard K. H. Salje7058119938
Richard Wilson7080921477
Jerome Bouvier7027813724
David Maurin6821517295
Alessandro Gandini6734819813
Matthieu Tristram6714317188
D. Santos6511315648
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023106
2022157
2021160
2020142
2019146
2018152