Publications

• Article dans une revue

TileChain: A Blockchain-Based Framework for Security Service Management For Vehicular Communications

Ahmed Didouh, Anthony Bahadir Lopez, Houda Labiod, Yassin El Hillali, Atika Rivenq, Mohammad Abdullah Al Faruque

Vehicular communications have become essential for functional and road safety purposes due to the development of vehicle fleets. However, these communications have made vehicles more vulnerable to cyber-attacks. The security of data exchanges in vehicular networks currently relies on a centralized…

IEEE Transactions on Vehicular Technology, 2024, pp.1-17. ⟨10.1109/TVT.2024.3358784⟩. ⟨hal-04465353⟩

• Article dans une revue

Three‐dimensional multiscale assembly of phyllosilicates, organics, and carbonates in small Ryugu fragments

Zelia Dionnet, Stefano Rubino, Alice Aléon-Toppani, Rosario Brunetto, Akira Tsuchiyama, Cateline Lantz, Zahia Djouadi, Donia Baklouti, Tomoki Nakamura, Ferenc Borondics, Christophe Sandt, Eva Héripré, David Troadec, Obadias Mivumbi, Jérome Aléon, Theo Ternier, Megumi Matsumoto, Kana Amano, Tomoyo Morita, Hisayoshi Yurimoto, Takaaki Noguchi, Ryuji Okazaki, Hikaru Yabuta, Hiroshi Naraoka, Kanako Sakamoto, Shogo Tachibana, Toru Yada, Masahiro Nishimura, Aiko Nakato, Akiko Miyazaki, Kasumi Yogata, Masanao Abe, Tatsuaki Okada, Tomohiro Usui, Makoto Yoshikawa, Takanao Saiki, Satoshi Tanaka, Fuyuto Terui, Satoru Nakazawa, Seiichiro Watanabe, Yuichi Tsuda

We report μm‐scale nondestructive infrared (IR) hyperspectral results (IR computed tomography, IR‐CT) in 3‐D and IR surface imaging, IR‐S) in 2‐D, at SOLEIL) combined with X‐ray nano‐computed tomography analyses (at SPring‐8) performed on eight small Ryugu fragments extracted from mm‐sized grains…

Meteoritics and Planetary Science, 2024, 59 (8), pp.1859-1876. ⟨10.1111/maps.14068⟩. ⟨hal-04243762⟩

• Article dans une revue

Boosting the performances of semitransparent organic photovoltaics via synergetic near-infrared light management

Tao Xu, Baozhong Deng, Kaiwen Zheng, Hongyu Li, Zihan Wang, Yunbo Zhong, Chengxi Zhang, Gaëtan Lévêque, Bruno Grandidier, Renaud Bachelot, Mona Tréguer-Delapierre, Yabing Qi, Shenghao Wang

Semitransparent organic photovoltaics (ST‐OPVs) offer promising prospects for application in building‐integrated photovoltaic systems and greenhouses, but further improvement of their performance faces a delicate trade‐off between the two competing indexes of power conversion efficiency (PCE) and…

Advanced Materials, 2024, 36 (18), pp.2311305. ⟨10.1002/adma.202311305⟩. ⟨hal-04465431⟩

• Article dans une revue

[Review] Graphene-based field-effect transistors for biosensing: where is the field heading to?

Sabine Szunerits, Teresa Rodrigues, Rupali Bagale, Henri Happy, Rabah Boukherroub, Wolfgang Knoll

Two-dimensional (2D) materials hold great promise for future applications, notably their use as biosensing channels in the field-effect transistor (FET) configuration. On the road to implementing one of the most widely used 2D materials, graphene, in FETs for biosensing, key issues such as…

Analytical and Bioanalytical Chemistry, 2024, Topical collection Advances in (Bio-)Analytical Chemistry: Reviews and Trends Collection 2024, 416, pp.2137-2150. ⟨10.1007/s00216-023-04760-1⟩. ⟨hal-04125275⟩

• Article dans une revue

Atomistic insights into the nucleation and growth of hexagonal boron nitride and graphene heterostructures

Mohamed Achehboune, Kazem Zhour, Jaroslaw Dabrowski, Dominique Vignaud, Max Franck, Mindaugas Lukosius, Jean-François Colomer, Luc Henrard

Graphene and hexagonal boron nitride (hBN) are two-dimensional (2D) materials with a similar atomic structure but drastically different although complementary electronic properties. The large-scale synthesis of h-BN/graphene heterostructures with high crystallographic quality is required to fully…

Physical Chemistry Chemical Physics, 2024, 26 (44), pp.28198-28207. ⟨10.1039/D4CP03300K⟩. ⟨hal-04787626⟩

• Article dans une revue

A Temporal Filter to Extract Doped Conducting Polymer Information Features from an Electronic Nose

Wiem Haj Ammar, Aicha Boujnah, Antoine Baron, Aimen Boubaker, Adel Kalboussi, Kamal Lmimouni, Sébastien Pecqueur

Identifying relevant machine learning features for multi-sensing platforms is both an applicative limitation to recognize environments and a necessity to interpret the physical relevance of transducers’ complementarity in their information processing. Particularly for long acquisitions, feature…

Electronics, 2024, 13 (3), pp.497. ⟨10.3390/electronics13030497⟩. ⟨hal-04477341⟩

• Article dans une revue

Experimental closed-loop flow separation control: Data- and phenomenological-driven approaches

T. Arnoult, G. Acher, V. Nowinski, P. Vuillemin, C. Briat, P. Pernod, C. Ghouila-Houri, A. Talbi, E. Garnier, C. Poussot-Vassal

Flow control aims at modifying a natural flow state to reach an other flow state considered as advantageous. In this paper, active feedback flow separation control is investigated with two different closed-loop control strategies, involving a reference signal tracking architecture. Firstly, a data-…

European Journal of Control, 2024, 79, pp.101082. ⟨10.1016/j.ejcon.2024.101082⟩. ⟨hal-04662002⟩

• Article dans une revue

On the reduction of gas permeation through the glass windows of micromachined vapor cells using Al₂O₃ coatings

C. Carlé, A. Mursa, P. Karvinen, S. Keshavarzi, M. Abdel Hafiz, V. Maurice, R. Boudot, N. Passilly

Stability and precision of atomic devices are closely tied to the quality and stability of the internal atmosphere of the atomic vapor cells on which they rely. Such an atmosphere can be stabilized by building the cell with low permeation materials such as sapphire or aluminosilicate glass in…

• Article dans une revue

Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes

Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed

One of the primary challenges in applying deep learning approaches to medical imaging is the limited availability of data due to various factors. These factors include concerns about data privacy and the requirement for expert radiologists to perform the time-consuming and labor-intensive task of…

Artificial Intelligence Review, 2024, 57 (4), pp.90. ⟨10.1007/s10462-024-10717-2⟩. ⟨hal-04520691⟩

• Article dans une revue

Colloidal Quantum Dots Thin Films: A Theoretical Insight Into Optical Efficiency for Optoelectronic Applications

Bilal Chehaibou, Peter Reiss, Emmanuel Lhuillier, Gabriel Mugny, Christophe Delerue, Arthur Arnaud

A growing number of scientific publications have shown during this last decade the potential of colloidal quantum dots (QDs) thin films for optical sensing, such as photonic applications, multispectral imaging, or infrared (IR) depth imaging. In this context, it appears interesting to consolidate…

IEEE Transactions on Electron Devices, 2024, pp.1-11. ⟨10.1109/TED.2024.3517595⟩. ⟨hal-04878591⟩