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the propagation of collapse bands [7]. The fabrication and experimental characterization of these new structures will be carried out at SIMAP, an expert in additive manufacturing and architectured materials
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, which brings together 4 partners: LTM/CNRS, pheliqs/CEA, Institut Néel/CNRS and CREAH/CNRS. The aim of the project is to fabricate betavoltaic sources using a new core-shell wire architecture that will
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, going beyond the state of the art in science and technology. Two architectures will be explored, similar to silica fiber lasers - a conventional technology available only in infrared. These architectures
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team and their collaborators in wireless bioelectronics, the goal of this project is to design a wireless architecture and RF circuits that enable backscattering-based wireless biosensing using organic
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and
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adhesion networks to deformation, detachment, and shear? (b) How do local stress, effective friction and viscosity emerge from, and depend upon, the microscopic architecture and co-dynamics of contractile
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as to generate feedbacks from motor action to perception. The evolved agents' behaviours will be compared with the observed behaviours of real ants. The evolved neural architecture will be tuned
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the application architecture of Edge-Cloud continuum infrastructures - Propose and experimentally validate energy metrics for resource management in Cloud environments - Discuss with the IPCEI-CIS E2CC project
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waveguides, we have developed a new paradigm for controlling micro-photonics systems based on the transition between optical states. We have particularly identified a specific architecture with potential
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previously unknown gene functions. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary