In gamma spectrometry, the demand for automated algorithms for rapid decision-making in low-statistics in situ measurements is high.
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The CEA pioneered 2.5D and 3D integration with its IntAct circuit and has held on to its position as a leader in 3D integration ever since. Recent research by two CEA-List PhD students has led to significant advances in communications and security.
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Digital Twins, which are built on complex and heterogeneous technologies, are becoming more widely used. The purpose of this research was to come up with a qualitative methodology for assessing the economic and environmental costs associated with Digital Twins.
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CEA-List used its Papyrus4Manufacturing modeling platform to design a new software architecture to provide the flexibility and automation needed to make ondemand production a reality.
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For the simulation of viscoelastic wave propagation, conventional explicit schemes like those used in our CIVA non-destructive testing simulation software become impractical in the presence of localized contrasts or fine meshes emanating from complex geometries.
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LEBNN, developed by CEA-List, is a neural network architecture for the mechanics of statically hyperelastic structures.
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The CEA has been conducting R&D on resistive memory (ReRAM)— an alternative to flash memory—for more than a decade. A complete system integrating ReRAM into a processor architecture was recently designed and validated for advanced memory company Weebit Nano.
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Much like classical application-specific processors, quantum processing units (QPUs) are expected to be used to speed up certain computational steps in algorithm execution.
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