Nissrine Akkari, Safran Group
Fabien Casenave, Safran Group
David Ryckelynck, MINES ParisTech
The aim of this mini-symposium is to meet the two following research domains “Data science” and “Model Order Reduction” in the Computational Mechanics field, to provide the optimal estimate of the evolving state of a mechanical system. Data science is an important tool for the classification and regression of the large amount of scientific data coming from the High Fidelity simulations, and Model Order Reduction techniques provide an efficient physical tool to forecast some new states of the mechanical system. Today numerical models can assimilate massive data from experiment and/or from numerical predictions.
