Date: Thu. October 24, 2024
Event: FAU MoD Lecture
Event type: On-site / Online
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning
Speaker: Prof. Dr. Paolo Zunino
Affiliation: MOX, Politecnico di Milano (Italy)

Abstract. Neural networks and learning algorithms have gained substantial attention among researchers engaged in computational mechanics. Notably, there are well-established methodologies for employing these tools in solving mathematical models based on partial differential equations. Additionally, a significant overlap exists between the machine learning and computational science and engineering communities in the realm of data-driven reduced order models. After reviewing the main trends in this field, we will discuss novel emerging approaches such as the application of learning algorithms to expedite the resolution of linear systems or to foster the approximation of multiscale problems.

See more details of this FAU MoD lecture at:

https://mod.fau.eu/fau-mod-lecture-new-avenues-for-the-interaction-of-computational-mechanics-and-machine-learning/