Publications

• Article dans une revue

Time-resolved self-heating temperature measurements of AlInN/GaN HEMTs using CeO2 Raman micro-thermometers

R. Strenaer, Y. Guhel, C. Gaquiere, B. Boudart

The DC and RF electrical performance and reliability of GaN-based transistors depend on their thermal behavior. Therefore, measuring the self-heating temperature of these devices under real operating conditions with high accuracy is an important and challenging issue. For these reasons, we present…

Microelectronics Reliability, 2023, 150, pp.115156. ⟨10.1016/j.microrel.2023.115156⟩. ⟨hal-04281820⟩

• Article dans une revue

Improving Date Fruit Sorting with a Novel Multimodal Approach and CNNs

Ibtissam Boumaraf, Abdelhamid Djeffal, Sarah Setta, Abdelmalik Taleb-Ahmed

Date fruit is a beloved and widely consumed food in the Middle East and North Africa, and its popularity is growing globally. However, sorting these fruits can be a time-consuming and labor-intensive process, particularly when done manually. To address this challenge, we have proposed an innovative…

International journal of advances in soft computing and its applications, 2023, 15 (3), pp.190-206. ⟨10.15849/IJASCA.231130.13⟩. ⟨hal-04372771⟩

• Article dans une revue

Analysis of Airgaps for Off State Capacitance Reduction in SOI CMOS RF Switches

Daniel Gheysens, Alain Fleury, Stephane Monfray, Frederic Gianesello, Philippe Cathelin, David Troadec, Jean-François Robillard, Emmanuel Dubois

This article analyses the introduction of airgaps in the interconnect network of SOI-CMOS based RF switches to significantly reduce the off-state capacitance COFF without degrading the on-state resistance RON. Based on the 130 nm node of an existing RF-SOI-CMOS technology, an accurate COFF…

IEEE Transactions on Electron Devices, 2023, 70 (11), pp.5814 - 5817. ⟨10.1109/TED.2023.3311415⟩. ⟨hal-04192324⟩

• Article dans une revue

Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification

D. Elhani, A.C. Megherbi, A. Zitouni, F. Dornaika, S. Sbaa, Abdelmalik Taleb-Ahmed

Although Convolutional Neural Networks (CNNs) have been shown to be highly effective in image classificationtasks, designing their architecture to achieve optimal results is often challenging. This process is time consuming, requires significant effort and expertise, and is complicated by the large…

Expert Systems with Applications, 2023, 229, part A, 120411. ⟨10.1016/j.eswa.2023.120411⟩. ⟨hal-04115021⟩

• Pré-publication, Document de travail

Fortran... ok, and what’s next?

Vincent Magnin, José Alves, Antoine Arnoud, Arjen Markus, Michele Esposito Marzino

Modern Fortran is a standardized language that includes object-oriented and parallel programming paradigms. The Fortran-lang community, created at the end of 2019, is actively working to modernize its ecosystem. New compilers are under development. And the fourth Fortran standard of the 21st…

2024. ⟨hal-04448657v2⟩

• Article dans une revue

Fortran... et puis quoi encore ?, Fortran... ok, and what's next?

Vincent Magnin, José Alves, Antoine Arnoud, Arjen Markus, Michele Esposito Marzino

Le Fortran moderne est un langage normalisé incluant les paradigmes de la programmation orientée objet et de la programmation parallèle. La communauté Fortran-lang, créée fin 2019, travaille activement à la modernisation de son environnement de développement. De nouveaux compilateurs sont en…, Modern Fortran is a standardized language that includes object-oriented and parallel programming paradigms. The Fortran-lang community, created at the end of 2019, is actively working to modernize its ecosystem. New compilers are under development. And the fourth Fortran standard of the 21st…

1024 : Bulletin de la Société Informatique de France, 2023, 22, pp.143-161. ⟨10.48556/SIF.1024.22.143⟩. ⟨hal-04279503⟩

• Article dans une revue

Role of AlGaN back-barrier in enhancing the robustness of ultra-thin AlN/GaN HEMT for mmWave applications

N. Said, Kathia Harrouche, F Medjdoub, N. Labat, Jean-Guy Tartarin, N. Malbert

In this work, the robustness of three different AlN/GaN structures targeting high frequency applications with ultra-thin 3 nm AlN barrier and devices with different gate-to-drain spacing are evaluated. Devices were step-stress tested in off-state, semi-on-state, and on-state conditions. Different…

Microelectronics Reliability, 2023, 150, pp.115110. ⟨10.1016/j.microrel.2023.115110⟩. ⟨hal-04278649⟩

• Article dans une revue

Ultra-hydrophobic biomimetic transparent bilayer thin film deposited by atmospheric pressure plasma

Manon Saget, Nicolas Nuns, Philippe Supiot, Corinne Foissac, Séverine Bellayer, Kevin Dourgaparsad, Pierre-Alexandre Royoux, Guillaume Delaplace, Vincent Thomy, Yannick Coffinier, Maude Jimenez

An open-air atmospheric pressure plasma was used to deposit ultrahydrophobic bilayer coatings. The plasma setup was tuned, allowing the successive injection in the post-discharge of two monomers. To the best of our knowledge, no study describes the successive deposition by atmospheric plasma of two…

Surfaces and Interfaces, 2023, 42, part A, pp.103398. ⟨10.1016/j.surfin.2023.103398⟩. ⟨hal-04215368⟩

• Article dans une revue

Photonic THz mixers based on iron-doped InGaAs embedded in a plasmonic microcavity

Charbel Tannoury, Victor Merupo, Giuseppe Di Gioia, Vanessa Avramovic, David Troadec, Jean-François Lampin, Guillaume Ducournau, Steffen Breuer, Björn Globisch, Stefano Barbieri, Robert B Kohlhaas, Emilien Peytavit

We present an optoelectronic mixer for the terahertz (THz) frequency-domain based on an iron-doped InGaAs layer integrated in a plasmonic microcavity. We show that this structure, under 1550-nm-wavelength illumination, allows for more than 70% absorption efficiency in a 220 nm-thin InGaAs absorber…

APL Photonics, 2023, 8 (11), pp.116101. ⟨10.1063/5.0153046⟩. ⟨hal-04268627⟩

• Communication dans un congrès

Evaluation of Power-of-two Quantization for Multiplier-less Near-Memory and In-Memory Computing Schemes for Biomedical Applications

Antoine Gautier, Benoit Larras, Olev Märtens, Deepu John, Antoine Frappé

2023 IEEE Nordic Circuits and Systems Conference (NorCAS), Oct 2023, Aalborg, Denmark. pp.1-5, ⟨10.1109/NorCAS58970.2023.10305487⟩. ⟨hal-04310284⟩