Institution
ParisTech
Education•Paris, France•
About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Residual stress & Finite element method. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the binary system of refrigerants: Hexafluoroethane (R116) + 1,1,1- trifluoroethylene (R143a) was studied with the aim of providing PTxy data.
8 citations
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TL;DR: In this article, a parallel sparse direct solver (PSDS) is proposed to handle null-spaces of real symmetric positive semi-definite matrix systems or complex symmetric systems from eddy-current problems.
Abstract: When using magnetic vector potential (MVP)-based formulations for magnetostatic or eddy-current problems, either gauge conditions specifying the divergence of the MVP or tree gauging by eliminating redundant degrees of freedom of the MVP is usually imposed to ensure uniqueness of solutions. Explicit gauging of the MVP is not always necessary since classical iterative solvers can automatically and implicitly fix the gauge as long as the right-hand side vectors are consistent. Besides iterative solvers, implicit gauging is also observed when using state-of-the-art parallel sparse direct solvers (PSDSs), thanks to the built-in functions of handling null-spaces of either real symmetric positive semi-definite matrix systems or those complex symmetric systems from eddy-current problems. Both static and eddy-current examples are solved by PSDS to demonstrate results of local physical quantities or global quantities such as magnetic energy or joule losses. High-order edge/nodal elements are also considered in our numerical examples and it is observed that PSDS can also easily and correctly handle the delicate discrete null spaces.
8 citations
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TL;DR: In this paper, a special approach for a chemical sensor with a low concentration (0.1-2 wt%) carbon nano-additive was carried out and tested in the 1[M] H3PO4 solution.
8 citations
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TL;DR: This paper is the first to adapt organic circuit designs in quantification of cholesterol, with promising outputs, for implementation in low-cost sensor systems.
Abstract: This paper presents circuit design and simulations of a high gain organic Op-Amp, for use in quantification of real cholesterol, in the range of 1-9 mM. A 7-stage inverter chain is added onto the design so as to enhance the amplifier gain. The circuit adapts p-channel transistors only (PMOS) design architecture with saturated loads, simulated on a conventional platform, using appropriate OTFT model and associated parameters. The effect of variation in threshold voltage on circuit operation is also examined. For a supply voltage of ±15 V, the DC output voltage is found to be within an acceptable range of -1 V to -12.5 V, with a highest open loop gain of 83 dB. The closed loop gain is also in agreement with theoretical values, in the range of 1.5 dB to 39 dB, with corresponding bandwidths of 770 Hz to 275 Hz respectively. The latter gain of 39 dB and/or gain-bandwidth product of 10.63 kHz is currently the highest reported in the literature, for this lower supply voltage. The amplifier offers adequate quantification factor, with linear sensitivity of -0.7 V/mM. This paper is the first to adapt organic circuit designs in quantification of cholesterol, with promising outputs, for implementation in low-cost sensor systems.
8 citations
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TL;DR: The proposed crosstalk cancellation method based on independent component analysis (ICA) for OTPA can increase the accuracy of transfer path identification and contribution evaluation, which can benefit vibration monitoring, reduction and control of mechanical systems.
8 citations
Authors
Showing all 1899 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mathias Fink | 116 | 900 | 51759 |
George G. Malliaras | 94 | 382 | 28533 |
Mickael Tanter | 85 | 583 | 29452 |
Gerard Mourou | 82 | 653 | 34147 |
Catherine Lapierre | 79 | 227 | 18286 |
Carlo Adamo | 75 | 444 | 36092 |
Jean-François Joanny | 72 | 294 | 20700 |
Marie-Paule Lefranc | 72 | 381 | 21087 |
Paul B. Rainey | 70 | 222 | 17930 |
Vincent Lepetit | 70 | 268 | 26207 |
Bernard Asselain | 69 | 409 | 23648 |
Michael J. Baker | 69 | 394 | 20834 |
Jacques Prost | 68 | 198 | 19064 |
Jean-Philippe Vert | 67 | 235 | 17593 |
Jacques Mairesse | 66 | 310 | 20539 |