Publicaciones

• Article dans une revue

Steady vs. Dynamic Contributions of Different Doped Conducting Polymers in the Principal Components of an Electronic Nose’s Response

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

Multivariate data analysis and machine-learning classification become popular tools to extract features without physical models for complex environments recognition. For electronic noses, time sampling over multiple sensing elements must be a fair compromise between a period sufficiently long to...

Eng, 2023, 4 (4), pp.2483-2496. ⟨10.3390/eng4040141⟩. ⟨hal-04212911⟩

• Article dans une revue

Higher-order mode filtering by a resistive layer

Svetlana Kuznetsova, Yves Aurégan, Vincent Pagneux

A method for filtering higher-order acoustic modes using a resistive layer is proposed and applied to a two-dimensional rectangular waveguide with a quiescent fluid. An analogue of Cremer's criterion is discussed and used to obtain the optimal modal attenuation of the non-planar waves while...

JASA Express Letters, 2023, 3 (10), ⟨10.1121/10.0021283⟩. ⟨hal-04249215⟩

• Article dans une revue

Design and fabrication of nanometer measurement platform for better understanding of silicon mechanical properties

Maciej Haras, Jean-François Robillard, Thomas Skotnicki, Emmanuel Dubois

Semiconductor industry is experiencing unprecedented growth, still driven by Moore's law, which is continually delivering devices with improved performance at lower costs. The continuation of this development places the industry in a divergent trade-off between economic attractiveness,...

Journal of Applied Physics, 2023, 134 (2), pp.024305. ⟨10.1063/5.0152192⟩. ⟨hal-04165436v2⟩

• Chapitre d'ouvrage

Metamaterial-based barriers for railway-generated ground borne vibration

F. Nistri, R.M. Cosentini, V.F. Dal Poggetto, P. Charkaluk, N. Pugno, M. Miniaci, A. Gliozzi, F. Bosia

Parachkévova-Racine, Irina; Teller, Marina. Quelles régulations pour l'économie collaborative ? : un défi pour le droit économique, Dalloz, pp.177, 2023, Thèmes et commentaires, 978-2-247-17602-1. ⟨hal-04374214⟩

• Communication dans un congrès

[Invited] Design of Metamaterials for Acoustic Stealth Using Optimization Tools

Laetitia Roux, Charles Croenne, Monique Pouille, C. Audoly, Anne-Christine Hladky

PHONONICS 2023: 6th International Conference on Phononic Crystals/Metamaterials/Metasurfaces, Phonon Transport, and Topological Phononics, Jun 2023, Manchester (UK), United Kingdom. ⟨hal-04374254⟩

• Chapitre d'ouvrage

One photonic closed loop

Housni Al Wahsh, Leonard Dobrzynski, Abdellatif Akjouj

Resonance, Elsevier, pp.53-80, 2023, ⟨10.1016/B978-0-44-319144-2.00011-7⟩. ⟨hal-04070650⟩

• Article dans une revue

Novel opto-fluidic drug delivery system for efficient cellular transfection

Majid Layachi, A. Treizebre, Laurent Hay, David Gilbert, Jean Pesez, Quentin D’acremont, Kevin Braeckmans, Quentin Thommen, Emmanuel Courtade

Abstract Intracellular drug delivery is at the heart of many diagnosis procedures and a key step in gene therapy. Research has been conducted to bypass cell barriers for controlled intracellular drug release and made consistent progress. However, state-of-the-art techniques based on non-viral...

Journal of Nanobiotechnology, 2023, 21 (1), pp.43. ⟨10.1186/s12951-023-01797-3⟩. ⟨hal-03996959⟩

• Article dans une revue

Pharmacological inhibitors of β-cell dysfunction and death as therapeutics for diabetes

Stéphane Dalle, Amar Abderrahmani, Eric Renard

More than 500 million adults suffer from diabetes worldwide, and this number is constantly increasing. Diabetes causes 5 million deaths per year and huge healthcare costs per year. β-cell death is the major cause of type 1 diabetes. β-cell secretory dysfunction plays a key role in the development...

Frontiers in Endocrinology, 2023, 14, pp.1076343. ⟨10.3389/fendo.2023.1076343⟩. ⟨hal-04079756⟩

• Communication dans un congrès

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens

Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique

Machine Learning (ML) architectures have been applied to several applications that involve sensitive data, where a guarantee of users' data privacy is required. Differentially Private Stochastic Gradient Descent (DPSGD) is the state-of-the-art method to train privacy-preserving models. However...

International Joint Conference on Neural Networks (IJCNN 2023), Jun 2023, Gold Coast, Australia. ⟨10.1109/IJCNN54540.2023.10191743⟩. ⟨hal-04202435⟩

• Article dans une revue

The Effect of C60 and Pentacene Adsorbates on the Electrical Properties of CVD Graphene on SiO2

Jacopo Oswald, Davide Beretta, Michael Stiefel, Roman Furrer, Dominique Vuillaume, Michel Calame

Graphene is an excellent 2D material for vertical organic transistors electrodes due to its weak electrostatic screening and field-tunable work function, in addition to its high conductivity, flexibility and optical transparency. Nevertheless, the interaction between graphene and other carbon-based...

Nanomaterials, 2023, 13 (6), pp.1134. ⟨10.3390/nano13061134⟩. ⟨hal-04041239⟩