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ESTHER is a 1D Lagrangian code for radiation-matter interaction that studies the evolution of materials transitioning from the solid phase to the plasma phase under the effect of an intense radiation pulse
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on this benchmark. - Write a publication about this benchmark. #Cea List Moyens / Méthodes / Logiciels AI, Deep Neural Network, Computer Vision, Human behavior analysis Profil du candidat Profile - Students in
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of possible atomic configurations exceeds 2^2500? That is the bottleneck our IRESNE (nuclear fuel physics) and LIST (AI) teams have just cracked with PULSE, a generative (VAE) method published in Nature
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1,000 seconds. This postdoctoral position is part of a three-year collaborative project led by the Plasma Physics Laboratory (LPP) at École Polytechnique and involving German partners. The project aims
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented