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Affichage des publications 201 à 210 sur 1269 au total

Microelectronics

Sub-millisecond electric field sensing with an individual rare-earth doped ferroelectric nanocrystal

Understanding the dynamics of electrical signals within neuronal assemblies is crucial to unraveling complex brain function. Despite recent advances in employing optically active nanostructures in transmembrane potential sensing, there remains room…

Athulya Muraleedharan, Jingye Zou, Maxime Vallet, Abdelali Zaki, Christine Bogicevic, Charles Paillard, Karen Perronet, François Treussart

ACS Applied Materials & Interfaces -

Engineering Sciences

Transport Map Coupling Filter for State-Parameter Estimation

Many dynamical systems are subjected to stochastic influences, such as random excitations, noise, and unmodeled behavior. Tracking the system's state and parameters based on a physical model is a common task for which filtering algorithms, such as…

Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer

Advances in Reliability, Safety and Security -

Electromagnetism

Multimaterial filtering applied to the topology optimization of a permanent magnet synchronous machine

This study aims to propose a general methodology to handle multimaterial filtering for density-based topology optimization containing periodic or antiperiodic boundary conditions, which are expected to reduce the simulation time of electrical…

Théodore Cherrière, S Hlioui, François Louf, Luc Laurent

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering -

Mathematics

Local dynamic reconstruction in digital breast tomosynthesis

Description of purpose: Digital Breast Tomosynthesis (DBT) is a pseudo 3D X-ray imaging technique that limits the tissue superimposition problem observed in 2D mammography. DBT is therefore on track to become a standard of care for breast cancer…

Matteo Barbieri, Clément Jailin, Laurence Vancamberg, Stéphane Roux

17th International Workshop on Breast Imaging (IWBI 2024) -

Solid mechanics

A hybrid approach with reduced order modelling and graph neural networks for non-parametric problems

Reduced Order Modelling (ROM), such as the Proper Generalized Decomposition (PGD) [1], offers accelerated solutions for partial differential equations (PDEs). However, their effectiveness often relies on parametrization, limiting applicability to…

Victor Matray, Faisal Amlani, Frédéric Feyel, David Néron

ECCOMAS Congress 2024 9th European Congress on Computational Methods in Applied Sciences and Engineering -