Publications

Affichage de 3521 à 3530 sur 15923


  • Communication dans un congrès

Numerical approach of biological tissues/thin layer sensor interface behavior quantification

Marwa Sawan, Hilal Reda, Nadine Saad, Georges Nassar, Mohammad Hammoud

In this paper, we investigate the behavior of biological tissues coupled to a substrate (sensor) based on a numerical model taking into account the relationship between strain/stress components at the interface. Based on this study, the most appropriate biomechanical factors are understood and…

International Conference on Numerical Analysis and Applied Mathematics (ICNAAM 2019), Sep 2019, Rhodes, Greece. pp.420030, ⟨10.1063/5.0026643⟩. ⟨hal-03322799⟩

  • Chapitre d'ouvrage

Electronic biosensors based on graphene FETs

Patrik Aspermair, Vladyslav Mishyn, Sabine Szunerits, Wolfgang Knoll

Olfaction is capable of accomplishing incredible tasks: it starts with capturing an odor molecule, delivering it to the odorant receptors, converting it into an electrical stimulus and transmitting the data to the brain. And all of this in milliseconds. The sense of smell is not yet fully decoded…

Pelosi, P; Knoll, W. Methods in Enzymology 642 - Odorant binding and chemosensory proteins, 642, Elsevier science LTD, chapter 16, 371-401, 2020, Methods in Enzymology, 978-0-12-821157-1. ⟨10.1016/bs.mie.2020.05.016⟩. ⟨hal-03322824⟩

  • Article dans une revue

High-frequency limits of graphene field-effect transistors with velocity saturation

Quentin Wilmart, Mohamed Boukhicha, Holger Graef, David Mele, José Palomo, Michael Rosticher, Takashi Taniguchi, Kenji Watanabe, Vincent Bouchiat, Emmanuel Baudin, Jean-Marc Berroir, Erwann Bocquillon, Gwendal Fève, Emiliano Pallecchi, Bernard Plaçais

The current understanding of physical principles governing electronic transport in graphene field effect transistors (GFETs) has reached a level where we can model quite accurately device operation and predict intrinsic frequency limits of performance. In this work, we use this knowledge to analyze…

Applied Sciences, 2020, 10 (2), pp.446. ⟨10.3390/app10020446⟩. ⟨hal-02520621⟩

  • Article dans une revue

Editorial questions

Amar Abderrahmani

All Life, 2020, 13 (1), pp.691-693. ⟨10.1080/26895293.2020.1720304⟩. ⟨hal-03322817⟩

  • Communication dans un congrès

Electrothermal modeling of GaN power transistor for high frequency power converter design

Loris Pace, Florian Chevalier, Arnaud Videt, N. Defrance, Nadir Idir, Jean-Claude de Jaeger

This work proposes the electrothermal modeling of a packaged GaN power transistor in order to evaluate by simulation its performances in a 200 W - 1 MHz DC/DC converter. The complete electrical modeling of the high frequency converter using EM-circuit co-simulations is presented. After validation…

22nd European Conference on Power Electronics and Applications (EPE ECCE Europe), Sep 2020, Lyon, France. pp.1-10, ⟨10.23919/EPE20ECCEEurope43536.2020.9215782⟩. ⟨hal-03276912⟩

  • Communication dans un congrès

IR micro-spectroscopy and micro-tomography of isolated murchison grains in preparation of the Hayabusa2 sample return

R. Brunetto, A. Aléon-Toppani, S. Rubino, D. Baklouti, F. Borondics, Z. Dionnet, Z. Djouadi, C. Lantz, T. Nakamura, M. Takahashi, David Troadec, A. Tsuchiyama

We report the incorporation of IR-CT and IR hyperspectral imaging in the multi-analytical sequence of the MIN-PET CG Hayabusa2 preliminary examination team.

Lunar and Planetary Science Conference, Mar 2020, Houston, United States. 1135, 2 p. ⟨hal-03090397⟩

  • Communication dans un congrès

Robust H.264 video decoding using crc-based single error correction and non-desynchronizing bits validation

Vivien Boussard, Firouzeh Golaghazadeh, Stephane Coulombe, François-Xavier Coudoux, Patrick Corlay

In this paper, we introduce a novel cyclic redundancy check (CRC)-based single error correction method which we apply to robust H.264 Baseline video decoding. Unlike state-of-the-art methods, the proposed correction algorithm does not require lookup tables as it determines the error location based…

27th IEEE International Conference on Image Processing, ICIP 2020, Sep 2020, Abu Dhabi, United Arab Emirates. pp.1098-1102, ⟨10.1109/ICIP40778.2020.9190650⟩. ⟨hal-03322814⟩

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