Machine learning strategies for optimising frictional properties of materials

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Principal investigators:

• Academy Fellow Dr. Lasse Laurson (coordinator)

Prof. Adam S. Foster

Dr. Filippo Federici Canova (AScI fellow)

Dr. Martha Arbayani Zaidan (AScI fellow)

 

Contact: firstname.lastname [at] aalto [dot] fi (firstname.lastname@aalto.fi)

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.

 

Page content by: | Last updated: 27.09.2016.