Publications

• Autre publication scientifique

Young Professionals Events at the 2024 European Microwave Week [Young Professionals]

Samir Lagoug, Maya Alawar, Ana Inês Inácio, Anthony Ghiotto, Anne-Laure Billabert, Marina Deng, Pedro Rynkiewicz, Philippe Descamps, Valentina Palazzi

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

2025, pp.100 - 102. ⟨10.1109/mmm.2024.3487792⟩. ⟨hal-04882235⟩

• Thèse

High Resolution THz Spectroscopy Based on Frequency Combs and Optically Pumped Molecular Lasers, Spectroscopie THz à Haute Résolution Basée sur des Peignes de Fréquences et des Lasers Moléculaires Pompes Optiquement

Alexandra Khabbaz

The objective of this thesis is to study the use of frequency combs for high-resolution molecular spectroscopy in the terahertz (THz) region of the electromagnetic spectrum. This approach is based on the conversion of an optical frequency comb into the THz domain. Nevertheless, the state of the art…, L'objectif de cette thèse est d'étudier l'utilisation Peignes de fréquence pour la spectroscopie moléculaire à haute résolution dans la région du spectre électromagnétique Térahertz (THz). Cette approche est basée sur la conversion d'un peigne dans le domaine optique vers le…

Physics [physics]. Université du Littoral Côte d'Opale, 2025. English. ⟨NNT : ⟩. ⟨tel-04869248⟩

• Chapitre d'ouvrage

Numerical Simulations of Methylammonium Tin Iodide-Based Perovskite Solar Cells

Mohammed Cherif Ramdani, Khadidja Rahmoun, Wissem Benaissa, Katir Ziouche

Perovskite solar cells have attracted significant attention within the scientific community due to their rapidly advancing performance. In particular, inorganic perovskite devices are renowned for their remarkable performance and enduring stability.This study introduces a device optimization…

Technological and Innovative Progress in Renewable Energy Systems, Springer Nature Switzerland, pp.339-344, 2025, Advances in Science, Technology & Innovation, ISBN 978-3-031-71925-7. ⟨10.1007/978-3-031-71926-4_59⟩. ⟨hal-04990775⟩

• Article dans une revue

Experimental observation of mutual coupling in resonator array on thin-metal-film

Surya Revanth Ayyagari, Simonas Indrišiūnas, Alexey Basharin, Vytautas Janonis, Daniil Pashnev, Guillaume Ducournau, Polina Kuzhir, Irmantas Kašalynas

We present the experimental observation of electromagnetic mutual coupling in an array of ring-shaped resonators (meta-atoms) fabricated on a free-standing thin metal film using a maskless direct laser ablation technique. The transmission spectra of various resonator configurations were measured…

Journal of Applied Physics, 2025, 137 (1), ⟨10.1063/5.0245081⟩. ⟨hal-04885168⟩

• Article dans une revue

Investigating Impacts of Local Pressure and Temperature on CVD Growth of Hexagonal Boron Nitride on Ge(001)/Si

Max Franck, Jarek Dabrowski, Markus Andreas Schubert, Dominique Vignaud, Mohamed Achehboune, Jean‐françois Colomer, Luc Henrard, Christian Wenger, Mindaugas Lukosius

The chemical vapor deposition (CVD) growth of hexagonal boron nitride (hBN) on Ge substrates is a promising pathway to high-quality hBN thin films without metal contaminations for microelectronic applications, but the effect of CVD process parameters on the hBN properties is not well understood yet…

Advanced Materials Interfaces, 2025, 12 (1), pp.2400467. ⟨10.1002/admi.202400467⟩. ⟨hal-05216562⟩

• Article dans une revue

Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach

Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Abdelmalik Taleb-Ahmed

Hyperspectral Image (HSI) classification categorizes every pixel sample into distinct land-cover types. While CNN-based methods have demonstrated significant advances in feature representation, they often struggle with extracting deep features. On the other hand, transformer models excel in…

Computers and Electronics in Agriculture, 2025, 237, Part A, pp.110489. ⟨10.1016/j.compag.2025.110489⟩. ⟨hal-05123205⟩

• Article dans une revue

Chemical Control for the Morphogenesis of Conducting Polymer Dendrites in Water

Antoine Baron, Corentin Scholaert, David Guérin, Yannick Coffinier, Fabien Alibart, Sébastien Pecqueur

Conducting polymer dendrite (CPD) morphogenesis is an electrochemical process that enables in materio evolving intelligence in wetware devices. During CPD morphogenesis, voltage transients drive the physical evolution of electrically conductive...

RCS Applied Polymers, 2025, ⟨10.1039/D5LP00225G⟩. ⟨hal-05344352⟩

• Pré-publication, Document de travail

PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition

Ibtissam Saadi, Abdenour Hadid, Douglas Cunningham, Abdelmalik Taleb-Ahmed, Yassin El Hillali

Vision-Language Models (VLMs) like CLIP offer promising solutions for Dynamic Facial Expression Recognition (DFER) but face challenges such as inefficient full fine-tuning, high complexity, and poor alignment between textual and visual representations. Additionally, existing methods struggle with…

2025. ⟨hal-05033150⟩

• Article dans une revue

Polymer-Based Microstructured Photonic Membrane for Passive Heating Textiles

Mohamed Boutghatin, Salim Assaf, Pascal Tilmant, Parastesh Pirasteh-Charrier, Bahram Djafari-Rouhani, Petr Janíček, Petr Nemec, Joël Charrier, V. Thomy, Yan Pennec, Michèle Carette

The development of textiles for personal thermal management is one of the most promising technological solutions to reduce the energy consumption in heating, ventilation, and air conditioning (HVAC) systems. These technologies offer a potentially low-cost solution that can help to limit greenhouse…

ACS Omega, 2025, 10 (36), pp.40922-40929. ⟨10.1021/acsomega.5c02006⟩. ⟨hal-05294684⟩

• Article dans une revue

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfO_x ReRAM Devices

Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia

Analog in-memory computing is an emerging paradigm designed to efficiently accelerate deep neural network workloads. Recent advancements have focused on either inference or training acceleration. However, a unified analog in-memory technology platform-capable of on-chip training, weight retention,…