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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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during training, the finding of interpretable substructures to the explainability of general learning behaviour of such machine learning models, etc. In this project, we want to build upon the recent
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