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phase-field models require the underlying free-energy density as an input. This internship aims to compute that free-energy landscape from first principles and transfer it to continuum electrode models
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models. Conduct clock glitch injection campaigns (e.g. using the TRAITOR or ChipWhisperer platforms) and compare experimental results with µArchiFI predictions. This iterative approach will refine and
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Sujet de stage This postdoc aims to enhance PULSE, a generative (VAE) method revolutionizing predictions for disordered materials. You'll improve its accuracy, uncertainty quantification, and transition
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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