This symposium aims at bringing together experts and early stage researchers from multiple disciplines to network, exchange and generate new ideas related (but not limited) to
• tribology, fatigue and fracture
• atomistic aspects of plasticity and failure
• structure and properties of complex and disordered materials
• biomaterials and polymers
as well as to discuss methods for extending the time scale in atomistic simulation and the application of machine learning and data science approaches to computational material science.
For further information and registration please visit: http://www.cmsm.iis.u-tokyo.ac.jp/isam4/