Welcome to the Group on Data-Driven Mechanics! In our group, we combine theoretical, computational and experimental methods of contact mechanics to decipher the link between the underlying nano- and microscopic structures and the macroscopic outcomes. Presently, we are focusing on two topics related to contact mechanics. We are developing advanced computational techniques that leverages ideas of machine learning and high-performance computing to better understand and predict the behavior of materials and structures across length and timescales.
Read more about some of our recent and ongoing research projects by following the links below, or start with our research summary.
