Publicaciones

• Article dans une revue

Robust Al0.23Ga0.77N channel HFETs on bulk AlN for high voltage power electronics

J. Mehta, Idriss Abid, Reda Elwaradi, Yvon Cordier, F Medjdoub

AlxGa1-xN heterojunction FETs (HFETs) have been an eye catcher for high voltage power electronics with its potential to outperform the predecessors by virtue of high critical breakdown field of the material, which can be tuned by varying Al mole-fraction. In this work, we demonstrate Al0.23Ga0.77N...

e-Prime – Advances in Electrical Engineering, Electronics and Energy, 2023, 5, pp.100263. ⟨10.1016/j.prime.2023.100263⟩. ⟨hal-04194891⟩

• Autre publication scientifique

Advances in Historical Studies [Editor in Chief 12/3]

Raffaele Pisano

2023. ⟨hal-04510936⟩

• Article dans une revue

Topological vortex mode for flexural waves in pillared plates

Zhihui Wen, Julio Andrés Iglesias Martínez, Yabin Jin, Yan Li, Bahram Djafari-Rouhani, Daniel Torrent, Jean-Louis Raynaud, Abdelkrim Khelif

Localized topological modes with high robustness to various perturbations are receiving increasing attention. Recently, zero-order topological vortex modes have been designed in phononic structures, in analogy with zero-energy fermionic states modulated by Jackiw-Rossi binding mechanism. Such...

Materials & Design, 2023, 233, pp.112209. ⟨10.1016/j.matdes.2023.112209⟩. ⟨hal-04188368⟩

• Article dans une revue

One-channel time reversal focusing of ultra-high frequency acoustic waves on a MEMS

Hatem Dahmani, Nikolay Smagin, P. Campistron, J. Carlier, Malika Toubal, Bertrand Nongaillard

This Letter reports on a work performed to fabricate and characterize a silicon micro-machined cavity dedicated to micro-resolution Ultra-High Frequency imaging in microfluidics and microbiological applications using one-channel time reversal. Time reversal provides the means to spatially and...

Applied Physics Letters, 2023, 122 (10), pp.102201. ⟨10.1063/5.0142179⟩. ⟨hal-04215309⟩

• Article dans une revue

Deep learning aided topology optimization of phononic crystals

Paweł Kudela, Abdalraheem Ijjeh, Maciej Radzienski, Marco Miniaci, Nicola Pugno, Wieslaw Ostachowicz

In this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate deep learning (DL) model is proposed. We show that our trained DL model is...

Mechanical Systems and Signal Processing, 2023, 200, pp.110636. ⟨10.1016/j.ymssp.2023.110636⟩. ⟨hal-04182336⟩

• Article dans une revue

Combined Pulse Data Transmission and Indoor Localization Using 60-GHz-UWB MMIC Technology

Christophe Loyez, Michael Bocquet, Nathalie Rolland, Kamel Haddadi

This article presents a pulse radio transmission system operating in the millimeter-wave regime for simultaneous binary information transmission and location in an intrabuilding environment. In particular, the location solution mutualizes the hardware architectures of three sensors of known...

IEEE Open Journal of Instrumentation and Measurement, 2023, 2, pp.1-7. ⟨10.1109/OJIM.2023.3287251⟩. ⟨hal-04264535⟩

• Article dans une revue

Metal-based folded-thermopile for 2.5D micro-thermoelectric generators

Ibrahim Bel-Hadj, Zahia Bougrioua, Katir Ziouche

We report on the simulation and fabrication of 2.5D micro-thermoelectric generators (µTEGs) with a thermopile topology periodically folded and distributed on a multi-membrane template, capable of harvesting lost heat directly into useful electrical energy. The originality of the folded thermopile...

Sensors and Actuators A: Physical , 2023, 349, pp.114090. ⟨10.1016/j.sna.2022.114090⟩. ⟨hal-03899754⟩

• Pré-publication, Document de travail

A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models, Un framework basé sur le vision transformer pour le transfert de connaissance multi-modal vers mono-modal de modèles de sous-typage de lymphome.

Bilel Guetarni, Feryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard

Determining lymphoma subtypes is a crucial step for better patient treatment targeting to potentially increase their survival chances. In this context, the existing gold standard diagnosis method, which relies on gene expression technology, is highly expensive and time-consuming, making it less...

2024. ⟨hal-04456283⟩

• Communication dans un congrès

On exploiting the synaptic interaction properties to obtain frequency-specific neurons

Guillaume Marthe, Claire Goursaud, Romain Cazé, Laurent Clavier

Energy consumption remains the main limiting factors in many IoT applications. In particular, micro-controllers consume far too much power. In order to overcome this problem, new circuit designs have been proposed and the use of spiking neurons and analog computing has emerged as it allows a very...

DCAS 2023 - IEEE 16th Dallas Circuits and Systems Conference, Apr 2023, Denton, United States. pp.1-6, ⟨10.1109/DCAS57389.2023.10130264⟩. ⟨hal-04182362⟩

• Article dans une revue

Phononic Crystal Made of Silicon Ridges on a Membrane for Liquid Sensing

Abdellatif Gueddida, Victor Y. Zhang, Laurent Carpentier, Jérémy Bonhomme, Bernard Bonello, Yan Pennec, Bahram Djafari-Rouhani

We propose the design of a phononic crystal to sense the acoustic properties of a liquid that is constituted by an array of silicon ridges on a membrane. In contrast to other concepts, the ridges are immersed in the liquid. The introduction of a suitable cavity in the periodic array gives rise to a...

Sensors, 2023, 23 (4), pp.2080. ⟨10.3390/s23042080⟩. ⟨hal-04086892⟩