Publications

• 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

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⟩

• 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⟩

• Communication dans un congrès

Enabling Low-Power Signature Recognition for the IoT with SLIF neurons

Guillaume Marthe, Claire Goursaud, Laurent Clavier

Energy constraints are still a significant challenge in numerous IoT applications, particularly due to the excessive power consumption of microcontrollers. To overcome this limitation, novel circuit designs have been introduced, with the integration of spiking neurons and analog computing emerging…

EUSIPCO 2024 - 32nd European conference on signal processing, Aug 2024, Lyon, France. pp.1-5. ⟨hal-04788239⟩

• Article dans une revue

A Tight-Binding Model for Illustrating Exciton Confinement in Semiconductor Nanocrystals

Z. Hens, Christophe Delerue

The Brus equation describes the relation between the lowest energy of an electron–hole pair and the size of a semiconductor crystallite. However, taking the strong confinement regime as a starting point, the equation does not cover the transition from weak to strong confinement, the accompanying…

The Journal of Chemical Physics, 2024, 160 (11), pp.114106. ⟨10.1063/5.0192031⟩. ⟨hal-04513566⟩

• Chapitre d'ouvrage

Opera Geometrica's Transcription: General Considerations

Raffaele Pisano

Homage to Evangelista Torricelli’s Opera Geometrica 1644–2024 Text, Transcription, Commentaries and Selected Essays as New Historical Insights, Springer, pp.281-282, 2024, 978-3-031-06962-8. ⟨hal-04511930⟩

• Article dans une revue

Tunable topologically protected waveguiding in auxetic nonlinear metamaterials

M. Morvaridi, F. Bosia, M. Brun, V.F. Dal Poggetto, A.S. Gliozzi, M. Miniaci, C. Croenne, N.M. Pugno, G. Carta

In this paper, we discuss the possibility of achieving tunable topologically protected edge modes through the application of uniaxial prestrain in an auxetic metamaterial. The proposed structure consists of a thin slab with oriented cuts in a hexagonal lattice, where topologically protected band…

Physical Review Applied, 2024, 21 (3), pp.034024. ⟨10.1103/PhysRevApplied.21.034024⟩. ⟨hal-04526207⟩

• Article dans une revue

FT-IR detection of DMMP on TiO 2 -Modified Porous Silicon Substrates

Warda Raiah, M. Guendouz, Parastesh Pirasteh, Vincent Thomy, Joël Charrier, Yannick Coffinier

In this study, we present a new chemical sensor based on a functionalized porous silicon and sensitive to dimethyl methyl phosphonate (DMMP), a simulant of sarin gas, known as one of the most toxic warfare agents. The porous silicon was prepared by anodising a boron-doped p-Si (100) wafer. A metal…

Materials Today Chemistry, 2024, 42, pp.102363. ⟨10.1016/j.mtchem.2024.102363⟩. ⟨hal-04774473v2⟩

• Communication dans un congrès

500 GHz operational bandwidth MUTC-photodiodes with milliwatt terahertz output power levels

Ezgi Abacıoğlu, Marcel Grzeslo, Tom Neerfeld, Abdu Subahan Mohammed, J L F Estévez, Guillaume Ducournau, Andreas Stöhr

We present waveguide-integrated 1.55 μm InP-based modified uni-travelling-carrier photodiodes (MUTC-PDs) featuring coplanar waveguide outputs. The fabricated photodiodes yield an operational bandwidth of 500 GHz and milliwatt output power levels in the lower THz domain.

49th European Conference on Optical Communications (ECOC 2023), Oct 2023, Hybrid Conference, Glasgow, United Kingdom. pp.1410 - 1413, ⟨10.1049/icp.2023.2572⟩. ⟨hal-04695657⟩