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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: This paper claims that the results of these simulations represent strong benchmarks, which can be used as a basis for evaluating the accuracy of other codes, including other approaches than particle-in-cell simulations.
Abstract: Benchmarking is generally accepted as an important element in demonstrating the correctness of computer simulations. In the modern sense, a benchmark is a computer simulation result that has evidence of correctness, is accompanied by estimates of relevant errors, and which can thus be used as a basis for judging the accuracy and efficiency of other codes. In this paper, we present four benchmark cases related to capacitively coupled discharges. These benchmarks prescribe all relevant physical and numerical parameters. We have simulated the benchmark conditions using five independently developed particle-in-cell codes. We show that the results of these simulations are statistically indistinguishable, within bounds of uncertainty that we define. We, therefore, claim that the results of these simulations represent strong benchmarks, which can be used as a basis for evaluating the accuracy of other codes. These other codes could include other approaches than particle-in-cell simulations, where benchmarking could examine not just implementation accuracy and efficiency, but also the fidelity of different physical models, such as moment or hybrid models. We discuss an example of this kind in the Appendix. Of course, the methodology that we have developed can also be readily extended to a suite of benchmarks with coverage of a wider range of physical and chemical phenomena.

212 citations

Journal ArticleDOI
TL;DR: In this paper, a set of algorithms are proposed to find the best instruction set extensions (ISEs) for a given application, based on a detailed analysis of the application code.
Abstract: In embedded computing, cost, power, and performance constraints call for the design of specialized processors, rather than for the use of the existing off-the-shelf solutions. While the design of these application-specific CPUs could be tackled from scratch, a cheaper and more effective option is that of extending the existing processors and toolchains. Extensibility is indeed a feature now offered in real designs, e.g., by processors such as Tensilica Xtensa [T. R. Halfhill, Microprocess Rep., 2003], ARC ARCtangent [T. R. Halfhill, Microprocess Rep., 2000], STMicroelectronics ST200 [P. Faraboschi, G. Brown, J. A. Fisher, G. Desoli, and F. Homewood, Proc. 27th Annu. Int. Symp. Computer Architecture, 2000, p. 203], and MIPS CorExtend [T. R. Halfhill, Microprocess Rep., 2003]. While all these processors provide development environments with simulation capabilities for evaluating efficiently hand-crafted solutions, the tools to identify automatically the best processor configuration for a given application are less common. In particular, solutions to choose specialized instruction-set extensions (ISEs) have been investigated in the past years but are still seldom part of commercial toolchains. This paper provides a formal methodology and a set of algorithms that help address the problem. It proposes exact algorithms to derive optimal ISEs; exact identification of a single ISE is applicable to basic blocks of up to 1500 assembler-like instructions. This paper also introduces approximate methods that can process basic blocks of larger size. Results show that the described algorithms find solutions close to those that a designer would obtain by a detailed study of the application code. Both heuristic and exact algorithms find ISEs able to speed up unextended processors up to 5.0x. State-of-the-art comparisons show that the presented algorithms outperform existing ones by up to 2.6x

212 citations

Journal ArticleDOI
TL;DR: In this article, a critical assessment of binary R 2 O 3 -Al O 3 systems (RLa, Ce, Pr, Nd, Pm, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu) has been carried out through the technique of coupled thermodynamic-phase diagram analysis.

211 citations

Journal ArticleDOI
TL;DR: A mechanism through which chirality-sorting optical forces emerge through the interaction with the spin-angular momentum of light, a property that the community has recently learned to control with great sophistication using modern nanophotonics is described.
Abstract: The transverse component of the spin angular momentum of evanescent waves gives rise to lateral optical forces on chiral particles, which have the unusual property of acting in a direction in which there is neither a field gradient nor wave propagation. Because their direction and strength depends on the chiral polarizability of the particle, they act as chirality-sorting and may offer a mechanism for passive chirality spectroscopy. The absolute strength of the forces also substantially exceeds that of other recently predicted sideways optical forces.

211 citations

Journal ArticleDOI
01 Jun 1994-Nature
TL;DR: In this article, a crossover from fractal to dendritic growth in two dimensions on the microscopic scale was observed in a Pt(lll) surface, and the authors suggest that the increasing importance of anisotropy of edge diffusion at higher flux is responsible for this crossover.
Abstract: THE similarity of many patterns formed in non-equilibrium growth processes in physics, chemistry and biology is conspicuous, and many attempts have been made to discover common mechanisms underlying their formation1. A central question is what causes some patterns to be dendritic (symmetrically branched, like snowflakes) and others fractal (randomly ramified). In general, the transition from fractal to dendritic growth is regarded as a manifestation of the predominance of anisotropy over random noise in the growth process. In electrochemical deposition, this transition is observed as the growth speed is varied2,3. Here we report a crossover from fractal to dendritic growth in two dimensions on the microscopic scale. We use the scanning tunnelling microscope to study diffusion-limited aggregation of silver atoms on a Pt(lll) surface. The transition occurs as the deposition flux is increased, and our observations suggest that the increasing importance of anisotropy of edge diffusion at higher flux is responsible for this crossover. We anticipate that a similar phenomenon may operate in three-dimensional crystal growth.

211 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