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Helmholtz decomposition of vector fields with mixed boundary conditions and...

Archive ouverte: Article de revue

Creusé, Emmanuel | 2015

International audience. This paper is devoted to the derivation of a Helmholtz decomposition of vector fields in the case of mixed boundary conditions imposed on the boundary of the domain. This particular decomposi...

Residual and Equilibrated Error Estimators for Magnetostatic Problems Solve...

Archive ouverte: Article de revue

Tang, Zuqi | 2013

International audience. In finite element computations, the choice of the mesh is crucial to obtain accurate solutions. In order to evaluate the quality of the mesh, a posteriori error estimators can be used. In thi...

Residual a posteriori estimator for magnetoharmonic potential formulations ...

Archive ouverte: Article de revue

Tang, Zuqi | 2015

International audience. In the modeling of eddy current problems, potential formulations are widely used in recent days. In this paper, the results of residual-based a posteriori error estimators, which evaluate the...

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Archive ouverte: Communication dans un congrès

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Pisano, Raffaele | 2017-06-12

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A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membran...

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Bah, Thierno-Moussa | 2022-12-10

International audience. Herein, we report the use of nanostructured crystalline silicon as a thermoelectric material and its integration into thermoelectric devices. The proof-of-concept relies on the partial suppre...

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans l...

Archive ouverte: Communication dans un congrès

Le Besnerais, Jean | 2016-06-07

International audience. Cet article étudie l'effet de l'angle de charge sur les efforts harmoniques de Maxwell (tangentiels et radiaux) et les bruits et vibrations d'origine magnétique dans deux machines synchrones ...

Further investigation of convolutional neural networks applied in computati...

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Gong, Ruohan | 2022-04-07

International audience. Convolutional neural networks (CNN) have shown great potentials and have been proven to be an effective tool for some image-based deep learning tasks in the field of computational electromagn...

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