Publications

• ART

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⟩

• ART

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⟩

• ART

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⟩

• ART

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⟩

• ART

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⟩

• COUV

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⟩

• ART

Autonomous radar interference detection and mitigation using neural network and signal decomposition

Dayat Kurniawan, Budiman Putra Asmaur Rohman, Ratna Indrawijaya, Chaeriah Bin Ali Wael, Suyoto Suyoto, Purwoko Adhi, Iman Firmansyah

Autonomous radar interference is a challenging problem in autonomous vehicle systems. Interference signals can decrease the signal-to-interference-noise ratio (SINR), and this condition decreases the performance detection of autonomous radar. This paper exploits a neural network and signal…

IAES International Journal of Artificial Intelligence (IJ-AI), 2024, 13 (3), pp.2854-2861. ⟨10.11591/ijai.v13.i3.pp2854-2861⟩. ⟨hal-04673052⟩

• COMM

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⟩

• ART

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⟩

• ART

On the Performance of a Photonic Reconfigurable Electromagnetic Band Gap Antenna Array for 5G Applications

Taha A Elwi, Fatma Taher, Bal S Virdee, Mohammad Alibakhshikenari, Ignacio J Garcia Zuazola, Astrit Krasniqi, Amna Shibib Kamel, Nurhan Türker Tokan, Salahuddin Khan, Naser Ojaroudi Parchin, Patrizia Livreri, Iyad Dayoub, Giovanni Pau, Sonia Aïssa, Ernesto Limiti, Mohamed Fathy Abo Sree

In this paper, a reconfigurable Multiple-Input Multiple-Output (MIMO) antenna array is presented for 5G portable devices. The proposed array consists of four radiating elements and an Elec- tromagnetic Band Gap (EBG) structure. Planar monopole radiating elements are employed in the array with…

IEEE Access, 2024, 12, pp.60849 - 60862. ⟨10.1109/access.2024.3392368⟩. ⟨hal-04569351⟩