Machine Learning Advances in Mechanics of Materials

This event is part of the Hariri Institute's Distinguished Speaker Series: Machine Learning for Model-Rich Problems. In the last decade Machine Learning (ML) has become an essential tool in Science and Engineering. There is however a large rift separating ML developments in Computer Science from applications in Solid Mechanics. Materials have complex microstructures from which uncertain, irreversible, and history-dependent phenomena emerge. This creates difficulties in using ML because the learning process requires high throughput yet physically accurate data. These challenges are addressed by novel data-driven methods that lead to materials and structures with unprecedented properties.

When 11:00 am to 12:00 pm on Thursday, April 22, 2021
Location Zoom. Please register in advance on Eventbrite.
Contact Name Gina Mantica
Phone 617-353-7942
Contact Email gmantica@bu.edu
Contact Organization Hariri Institute for Computing
Fees Free
Speakers Miguel A. Bessa, Faculty of Mechanical, Maritime and Materials Engineering at Delft University of Technology