Publicaciones

• ART

High-field 1/f noise in hBN-encapsulated graphene transistors

A. Schmitt, D. Mele, M. Rosticher, T. Taniguchi, K. Watanabe, C. Maestre, C. Journet, V. Garnier, Gwendal Fève, J. Berroir, Christophe Voisin, B. Plaçais, Emmanuel Baudin

Low-frequency 1/f noise in electronics is a conductance fluctuation, that has been expressed in terms of a mobility ”α-noise” by Hooge and Kleinpenning. Understanding this noise in graphene is a key towards high-performance electronics. Early investigations in diffusive graphene have pointed out a...

Physical Review B, 2023, 107 (16), pp.L161104. ⟨10.1103/PhysRevB.107.L161104⟩. ⟨hal-04086406⟩

• COUV

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⟩

• COMM

[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⟩

• COMM

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⟩

• ART

An LSTM-Based Network Slicing Classification Future Predictive Framework for Optimized Resource Allocation in C-V2X

Mohammed Salah Abood, Hua Wang, Dongxuan He, Maha Fathy, Sami Abduljabbar Rashid, Mohammad Alibakhshikenari, Bal Virdee, Salahuddin Khan, Giovanni Pau, Iyad Dayoub, Patrizia Livreri, Taha Elwi

With the advent of 5G communication networks, many novel areas of research have emerged and the spectrum of communicating objects has been diversified. Network Function Virtualization (NFV), and Software Defined Networking (SDN), are the two broader areas that are tremendously being explored to...

IEEE Access, 2023, 11, pp.129300-129310. ⟨10.1109/ACCESS.2023.3332225⟩. ⟨hal-04369688⟩

• ART

Scattering-matrix approach for a quantitative evaluation of the topological protection in valley photonic crystals

Gaëtan Lévêque, Yan Pennec, Pascal Szriftgiser, Alberto Amo, Alejandro Martínez

The realization of photonic crystal waveguides with high topological protection enables robust light propagation against defect-induced scattering. It should allow the design of very compact devices by exploiting guiding through sharp bends with low losses and backreflection. In this work we use...

Physical Review A, 2023, 108 (4), pp.043505. ⟨10.1103/PhysRevA.108.043505⟩. ⟨hal-04274279⟩

• ART

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⟩

• ART

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⟩

• ART

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⟩

• ART

0D/2D Co3O4/Ti3C2 MXene Composite: A Dual-Functional Electrocatalyst for Energy-Saving Hydrogen Production and Urea Oxidation

Yi Zhang, Zhaohui Zhang, Ahmed Addad, Qi Wang, Pascal Roussel, Mohammed Amin, Sabine Szunerits, Rabah Boukherroub

Electrocatalytic water splitting to produce hydrogen (H2) is a sustainable way of meeting energy demands at no environmental cost. However, the sluggish anodic reaction imposes a considerable overpotential requirement. By contrast, the electrocatalytic urea oxidation reaction offers the prospect of...

ACS Applied Energy Materials, 2022, 5 (12), pp.15471-15482. ⟨10.1021/acsaem.2c03052⟩. ⟨hal-03918348⟩