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Institution

ParisTech

EducationParis, 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
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Mathias Fink11690051759
George G. Malliaras9438228533
Mickael Tanter8558329452
Gerard Mourou8265334147
Catherine Lapierre7922718286
Carlo Adamo7544436092
Jean-François Joanny7229420700
Marie-Paule Lefranc7238121087
Paul B. Rainey7022217930
Vincent Lepetit7026826207
Bernard Asselain6940923648
Michael J. Baker6939420834
Jacques Prost6819819064
Jean-Philippe Vert6723517593
Jacques Mairesse6631020539
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202212
202174
202093
2019127
2018145