Publicaciones

• Chapitre d'ouvrage

Photonic spheres

Housni Al Wahsh, Leonard Dobrzynski, Abdellatif Akjouj

Resonance, Elsevier, pp.133-152, 2023, ⟨10.1016/B978-0-44-319144-2.00014-2⟩. ⟨hal-04070653⟩

• Chapitre d'ouvrage

State phase, rules, and theorems

Leonard Dobrzynski, Housni Al Wahsh, Abdellatif Akjouj

Resonance, Elsevier, pp.1-10, 2023, ⟨10.1016/B978-0-44-319144-2.00009-9⟩. ⟨hal-04070647⟩

• Article dans une revue

Nanomechanical damping via electron-assisted relaxation of two-level systems

Olivier Maillet, Dylan Cattiaux, Xin Zhou, Rasul R. Gazizulin, Olivier Bourgeois, Andrew D. Fefferman, Eddy Collin

We report on measurements of dissipation and frequency noise at millikelvin temperatures of nanomechanical devices covered with aluminum. A clear excess damping is observed after switching the metallic layer from superconducting to the normal state with a magnetic field. Beyond the standard model...

Physical Review B, 2023, 107 (6), pp.064104. ⟨10.1103/PhysRevB.107.064104⟩. ⟨hal-03007076⟩

• Communication dans un congrès

Ultrafast Modulation of Polarization in Spintronic THz Emitters Enhanced by Field Induced Spin Reorientation Transition

Geoffrey Lezier, Pierre Koleják, Jean-Francois Lampin, Kamil Postava, Mathias Vanwolleghem, Nicolas Tiercelin

We demonstrate an efficient and simple modulation of the polarization in Spin-tronic Terahertz Emitters, by rapid switching of the magnetization using high-frequency magnetic field, enhanced by field induced Spin Reorientation Transition (SRT). The instability of the magnetic layer at the...

CLEO: Science and Innovations, 2023, San Jose, United States. pp.SF2I.4, ⟨10.1364/CLEO_SI.2023.SF2I.4⟩. ⟨hal-04308497⟩

• Article dans une revue

Exhaled breath condensate as bioanalyte: from collection considerations to biomarker sensing

Sabine Szunerits, Hannes Dӧrfler, Quentin Pagneux, John Daniel, Shekhar Wadekar, Eloise Woitrain, Dennis Ladage, David Montaigne, Rabah Boukherroub

Since the SARS-CoV-2 pandemic, the potential of exhaled breath (EB) to provide valuable information and insight into the health status of a person has been revisited. Mass spectrometry (MS) has gained increasing attention as a powerful analytical tool for clinical diagnostics of exhaled breath...

Analytical and Bioanalytical Chemistry, 2023, 415, pp.27-34. ⟨10.1007/s00216-022-04433-5⟩. ⟨hal-03882123⟩

• 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⟩

• 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⟩

• 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⟩

• 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

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⟩