Machine learning strategies for optimising frictional properties of materials
• Academy Fellow Dr. Lasse Laurson (coordinator)
Contact: firstname.lastname [at] aalto [dot] fi (firstname.lastname@example.org)
The programme aims at combining physics of friction - and materials science in general - with machine learning, in order to explore possibilities to efficiently optimise and predict materials properties, e.g. for applications where low friction is desired. The programme consists of a series of thematic workshops, visitors, and AScI fellows working together on physics and machine learning. It is a genuinely interdisciplinary programme exploiting the key strengths of Aalto University, e.g. materials research and computational science.