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Institution

École Polytechnique

EducationPalaiseau, France
About: École Polytechnique is a education organization based out in Palaiseau, France. It is known for research contribution in the topics: Laser & Plasma. The organization has 18995 authors who have published 39265 publications receiving 1225163 citations. The organization is also known as: Ecole Polytechnique & Polytechnique.
Topics: Laser, Plasma, Electron, Population, Nonlinear system


Papers
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Journal ArticleDOI
TL;DR: BiFeO(3), a room-temperature magnetoelectric material, can be tuned electrically by over 30%, in a non-volatile way and with virtually no power dissipation, which makes it a promising medium for spin-wave generation, conversion and control in future magnonics architectures.
Abstract: To face the challenges lying beyond present technologies based on complementary metal-oxide-semiconductors, new paradigms for information processing are required. Magnonics proposes to use spin waves to carry and process information, in analogy with photonics that relies on light waves, with several advantageous features such as potential operation in the terahertz range and excellent coupling to spintronics. Several magnonic analog and digital logic devices have been proposed, and some demonstrated. Just as for spintronics, a key issue for magnonics is the large power required to control/write information (conventionally achieved through magnetic fields applied by strip lines, or by spin transfer from large spin-polarized currents). Here we show that in BiFeO(3), a room-temperature magnetoelectric material, the spin-wave frequency (>600 GHz) can be tuned electrically by over 30%, in a non-volatile way and with virtually no power dissipation. Theoretical calculations indicate that this effect originates from a linear magnetoelectric effect related to spin-orbit coupling induced by the applied electric field. We argue that these properties make BiFeO(3) a promising medium for spin-wave generation, conversion and control in future magnonics architectures.

206 citations

Journal ArticleDOI
TL;DR: In this paper, the authors extend the level-set method for shape and topology optimization to new objective functions such as eigenfrequencies and multiple loads, based on a combination of the classical shape derivative and of the Osher-Sethian level set algorithm for front propagation.

206 citations

Journal ArticleDOI
TL;DR: There is no sufficient evidence that a TBS measurement provides reliable information on the status of the bone microarchitecture for a given patient, and as clinical studies suggest that the TBS predicts the risk of fracture even after adjustment for BMD, it is encouraged to learn more about this score.
Abstract: The diagnosis of osteoporosis rests on areal bone mineral density (BMD) measurement using DXA. Cancellous bone microarchitecture is a key determinant of bone strength but cannot be measured using DXA. To meet the need for a clinical tool capable of assessing bone microarchitecture, the TBS was developed. The TBS is a texture parameter that evaluates pixel gray-level variations in DXA images of the lumbar spine. The TBS variations may reflect bone microarchitecture. We explain the general principles used to compute the TBS, and we report the correlations between TBS and microarchitectural parameters. Several limitations of the TBS as it is used now are pointed out. We discuss data from currently available clinical studies on the ability of the TBS to identify patients with fractures and to evaluate the fracture risk. We conclude that this new index emphasizes the failure of the BMD T-score to fully capture the fragility fracture risk. However, although microarchitecture may influence the TBS, today, to the best of our understanding, there is no sufficient evidence that a TBS measurement provides reliable information on the status of the bone microarchitecture for a given patient. The TBS depends on gray-level variations and in a projectional image obtained in vivo, these variations can have many causes. Nevertheless, as clinical studies suggest that the TBS predicts the risk of fracture even after adjustment for BMD, we are encouraged to learn more about this score. Additional studies will have to be performed to assess the advantages and limitations of the TBS, in order to ensure that it is used appropriately in clinical practice.

205 citations

Posted Content
TL;DR: In this article, the authors used a database covering the universe of French firms for the period 1990-2007 to provide a forensic account of the role of individual firms in generating aggregate fluctuations.
Abstract: This paper uses a database covering the universe of French firms for the period 1990- 2007 to provide a forensic account of the role of individual firms in generating aggregate fluctuations. We set up a simple multi-sector model of heterogeneous firms selling to multiple markets to motivate a theoretically-founded decomposition of firms' annual sales growth rate into different components. We find that the firm-specific component contributes substantially to aggregate sales volatility, mattering about as much as the components capturing shocks that are common across firms within a sector or country. We then decompose the firm-specific component to provide evidence on two mechanisms that generate aggregate fluctuations from microeconomic shocks highlighted in the recent literature: (i) when the firm size distribution is fat-tailed, idiosyncratic shocks to large firms directly contribute to aggregate fluctuations; and (ii) aggregate fluctuations can arise from idiosyncratic shocks due to input-output linkages across the economy. Firm linkages are approximately three times as important as the direct effect of firm shocks in driving aggregate fluctuations.

205 citations

Journal ArticleDOI
TL;DR: In this article, the influence of sulfur applied at different levels on apparent N-use efficiency (ANU), yield, glucosinolate (GLS) and oil content of seeds was studied.

205 citations


Authors

Showing all 19056 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Jing Wang1844046202769
David L. Kaplan1771944146082
Lorenzo Bianchini1521516106970
David D'Enterria1501592116210
Vivek Sharma1503030136228
Melody A. Swartz1481304103753
Edward G. Lakatta14685888637
Carlo Rovelli1461502103550
Marc Besancon1431799106869
Maksym Titov1391573128335
Jean-Paul Kneib13880589287
Yves Sirois137133495714
Maria Spiropulu135145596674
Shaik M. Zakeeruddin13345376010
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202340
2022116
20211,470
20201,666
20191,483
20181,218