Collection and Processing of Material Acoustic Data for a Robust Lightweighting Strategy

Speaker: François-Xavier Bécot, Co-founder and Executive Co-manager at MATELYS – Research Lab

Recent developments in Machine Learning (ML) and Artificial Intelligence (AI) approaches highlight the importance of collecting and storing data accurately. This presentation will show how an efficient use of this data paves the way toward a robust lightweighting strategy.

The key is to obtain a computationally cheap framework where the multi-physical response can be investigated for a large variety of materials. We will illustrate how AlphaCell by Matelys can help maintain acoustic and thermal comfort while coping with the reduction of air pollution related to noise emission and air particle release.