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-functional-theory (DFT) reference calculations; sample lithiation and phase transitions using Grand-Canonical Monte Carlo coupled to molecular dynamics, including biased sampling when needed; reconstruct
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their impact on processor microarchitectures. These experiments suggest that clock glitches induce sampling faults on sensitive sequential elements, but the corresponding fault models remain to be formally
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deciphering the mechanisms of cellular plasticity. Technological advances and cryogenic sample preparation now make it possible to visualise cellular structures, membrane arrangements, contacts between
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positions CEA as a pioneer in generative sampling of the configuration space of chemically disordered materials. This 24-month postdoc gives you the opportunity to drive this method toward its next generation
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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