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Data-Driven Mechanics
1 : Arts et Métiers Paristech
École Nationale Supérieure d'Arts et Métiers (ENSAM)
This work revisits data-driven approches and addresses a new paradigm in engineering sciences, the
one of hybrid approches, in which the data could enrich existing models, without neither the necessity
nor the opportunity of replacing them, while models allows enriching models in order to transform the
big-data paradigm into the smart data one, able to proceed very efficiently in the low-data limit
