Actualités
![In-depth 2D FEM analysis of gate cracking in SiC MOSFETs under repetitive short-circuit conditions: Application of a damage-based model for crack length prediction [ESREF’25 Selected and Extended Full-Paper]](https://www.nae.fr/wp-content/uploads/2024/12/hal-logo-text-1-400x203.png){kind=logo}
In-depth 2D FEM analysis of gate cracking in SiC MOSFETs under repetitive short-circuit conditions: Application of a damage-based model for crack length prediction [ESREF’25 Selected and Extended Full-Paper]
The on-state resistance RDSON is a key aging indicator of silicon carbide MOSFETs power module. It can provide information on both chip and packaging degradation allowing more reliable power electronic converter. This on-state resistance can be determined using both...
Online measurement of differential drain to source voltage for SiC MOSFETS power module
The on-state resistance RDSON is a key aging indicator of silicon carbide MOSFETs power module. It can provide information on both chip and packaging degradation allowing more reliable power electronic converter. This on-state resistance can be determined using both...
Les innovations de l’impression 3D présentées au CES 2026
Présenté comme une scène mondiale dédiée à l’innovation, le Consumer Electronics Show (CES) est revenu cette année à Las Vegas, du 6 au 9 janvier. L’événement rassemble des experts en technologie, des décideurs, des médias et des acheteurs issus de l’ensemble de...
Les antennes à métasurfaces se démocratisent
Les ingénieurs de la plateforme PFAN-P (Polymères) en collaboration avec Ultimetas, ont exploré des résines photopolymères compatibles avec l'impression 3D pour des antennes haute fréquence à bas coût. La 5G et la 6G sont définies pour répondre aux attentes des...
UAV Systems and Swarm Robotics
The unstable nature of the dynamics of Unmanned Aerial Vehicles (UAVs) might significantly increase the complexity of their control strategies. In addition, some UAV systems require robust and fast stabilization to perform certain maneuvers. In particular, tail-sitter...
Federated Learning Semantic Communication in UAV Systems: PPO-Based Joint Trajectory and Resource Allocation Optimization
This thesis explores the use of Reinforcement Learning (RL) for controlling a fixed-wing UAV in attitude and waypoint tracking under varying wind conditions. Unlike traditional controllers such as PID or MPC that rely on accurate models, RL provides a data-driven...
Reinforcement learning based control of a fixed-wing UAV under wind disturbances
This thesis explores the use of Reinforcement Learning (RL) for controlling a fixed-wing UAV in attitude and waypoint tracking under varying wind conditions. Unlike traditional controllers such as PID or MPC that rely on accurate models, RL provides a data-driven...
Boosting All-in-One UAV Image Restoration via Degradation-Aware Frequency Prompt State Space Model
Unmanned Aerial Vehicle (UAV)-captured images are easily affected by various degradations such as motion blur, noise, low illumination, haze, and raindrops in complex environments, and these degradations exhibit significant differences in the frequency domain....
Renault se diversifie : du véhicule civil au drone militaire
Le constructeur automobile français Renault s’engage dans la production de drones de combat en partenariat avec la PME Turgis Gaillard. Le projet, baptisé « Chorus » et soutenu par un contrat potentiel d’un milliard d’euros avec l’État, viserait à produire en série...
Predictive maintenance and life cycle management for armoured vehicles
Europe is rapidly increasing the size of armoured vehicle fleets, but it is long-term readiness – not acquisition – that has become the key challenge. Recurring issues such as shortage of parts, technical-data gaps, and uneven maintenance capacity are also limiting...
