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First demonstration of vertical AlGaN P-i-N diodes grown on silicon substrate for Next-Generation power electronics
No full textInternational audienceIn this work, we report the first demonstration of quasi-vertical AlGaN PiN diodes grown directly on siliconsubstrates, paving the way toward high-performance, low-cost power electronics. GaN and AlGaNheterostructures were grown on 2-inch silicon wafers via molecular beam epitaxy. The AlGaN diodecomprises a 20 nm UID Al₀.₁₉Ga₀.₈₁N layer, 160 nm n⁺ Al₀.₁₉Ga₀.₈₁N, 570 nm Al₀.₁₉Ga₀.₈₁N drift layer, and a100 nm p-type contact layer. It demonstrates high current density up to 16 kA/cm², a threshold voltageof 7.5 V, and Ron,sp of 0.61 mΩ·cm², comparable to that of GaN (0.54 mΩ·cm²). Most notably, the AlGaNdiode achieves a breakdown field of 4 MV/cm, far exceeding GaN’s 1 MV/cm under an identical quasivertical architecture
Chemical Control for the Morphogenesis of Conducting Polymer Dendrites in Water
No full textInternational audienceConducting polymer dendrite (CPD) morphogenesis is an electrochemical process that enables in materio evolving intelligence in wetware devices. During CPD morphogenesis, voltage transients drive the physical evolution of electrically conductive..
Joint Estimation of Deception Attacks on Sensors and Actuators in Cyber–Physical Systems
No full textInternational audienceThis article presents a strategy for estimating deception [false data injection (FDI)] attacks on sensors and actuators in cyber–physical systems (CPSs) described by a class of linear parameter-varying (LPV) systems. Gain-scheduled intermediate-variable-based estimators (GSIVBEs) are proposed to reconstruct both the system states and the attack sequences, ensuring bounded estimation errors even in cases where such attacks evade detection by conventional threshold-based methods. A convex design condition is derived to ensure that the estimation error dynamics are input-to-state stable with respect to variations in the attack sequences. To improve the accuracy of the estimators, an optimization problem is formulated to minimize the estimation error under these conditions. In addition, different strategies are proposed to mitigate the effects of the attack sequences on the system by using the estimated attack sequences as part of an attack-tolerant control framework. The proposed approach demonstrates its effectiveness in enhancing system resilience, contributing to the security and reliability of CPSs under adversarial scenarios
Trouble anormal du voisinage et/ou trouble manifestement illicite ?
No full textInternational audience(Civ. 3e, 27 févr. 2025, no 23-22.284, inédit, D. 2025. 1394, obs. N. Reboul-Maupin et Y. Strickler ; AJDI 2025. 312
Including enthesis in a preliminary patellar tendinopathy finite element model
No full textInternational audienc
Influence of the female breast on a ballistic impact: effect of the size and location of the impact
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Comparaison des méthodes multi-échelles pour la modélisation de la plaque perforée dans les calculs de structures
No full textInternational audienceComparaison des méthodes multi-échelles pour la modélisation de la plaque perforée dans les calculs de structure
Metamaterial-based Dielectric Elastomers for Enhanced Energy Harvesting
No full textInternational audienceThis work investigates the integration of mechanical metamaterials into dielectric elastomer generators(DEGs) to enhance energy harvesting performance. By introducing auxetic and multi-stable geometries in bothtwo-dimensional (2D) and three-dimensional (3D) DEGs, we demonstrate enhanced capacitance variation andbroadband response, leveraging metamaterial-induced nonlinearities and deformations to improve energyconversion efficienc
Hybrid Denoising of B-Scan UWB Radar Data Using Higher-Order Statistics and Wavelet Shrinkage
No full textInternational audienceThis paper introduces a novel hybrid approach for noise reduction in B-scan UWB radar data, specifically designed for the detection of cyclists, pedestrians, and cars. The proposed method integrates Higher-Order Statistics (HOS) with Wavelet Shrinkage Denoising (WSD) to enhance signal quality and improve detection accuracy. The effectiveness of this hybrid approach is evaluated against widely used noise removal methods, including Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and the individual use of WSD and HOS. A quantitative analysis based on the Signal-to-Noise Ratio (SNR) demonstrates that the HOS-WSD combination outperforms the other methods in terms of noise reduction. These results highlight the superiority of the hybrid approach and its potential to enhance the robustness of UWB radar detection systems
Classifieurs Électroniques Organiques pour la Détection
No full textThis monograph describes nine years of research carried out at the Institute for Electronics, Micro-electronics and Nanotechnologies (IEMN), developed around defining a generic concept for detection, filling a void between metrological sensors and biological senses, sensing an environment's qualities along with their measurable properties in information generation technologies. The first chapter introduces fundamental notions of recognition for complex environments, such as for their chemistry, for which organic semiconductors can embed two new functionalities in consumer electronics. The second and third chapters mostly summarize contributions to the state-of-the-art literature on these matters: in the second chapter, on studying conducting polymers as both chemical detectors and conductimetric transducers, and the third chapter, on studying electropolymerization sensitivity to conceptualize evolutionary electronics. The fourth chapter presents several results on the conception of several "classifiers" exploiting both functionalities: in tasks aiming at integrating different sensitivities at a very small scale, at broadening sensing devices' receptive fields based on experience, and at physically engraving the experience data in a sensing hardware. Along with this monograph are also associated four appendices, summarizing different elements related to the context of this research.Ce monographe décrit neuf années de recherches menées à l’Institut d’Électronique de Microélectroniqueet de Nanotechnologie (IEMN), articulées autour de la définition un concept générique de systèmes dedétection, comblant un vide entre capteurs métrologiques et sens biologiques, qui intègrerait intrinsèquementla nature qualitative d’un environnement à ses propriétés mesurables dans les technologies de générationde l’information. Le premier chapitre introduit des notions fondamentales autour de la reconnaissanced’environnements complexes, notamment dans leur chimie, pour laquelle les semi-conducteurs organiquespermettent d’apporter deux nouvelles fonctionnalités dans l’électronique grand public. Les deuxième ettroisième chapitres résument essentiellement des contributions apportées à l’état de l’art sur ces sujets :dans le deuxième chapitre, autour de l’étude des polymères conducteurs en tant que détecteurs chimiqueset transducteurs conductimétriques, et dans le troisième chapitre, autour de l’étude de la sensibilité del’électropolymérisation pour concevoir de l’électronique évolutive. Le quatrième chapitre expose plusieursrésultats sur la conception de différents « classifieurs » utilisant ces deux fonctionnalités : dans des projetsvisant à intégrer des sensibilités variées à très petite échelle, agrandir le champs réceptif des systèmes dedétection en fonction de l’expérience, et graver physiquement l’information de cette expérience dans lematériel des systèmes de détection. Quatre annexes sont également associées à ce monographe, rassemblantdifférents éléments associés au contexte de cette recherche