12/3/19: Machine Learning to Augment Material’s Property Prediction with Professor Hartwin Peelaers

This week, we learned about how machine learning can help condensed matter physicists predict properties of certain materials. Professor Peelaers talked about a variety of topics, including compressed sensing, cluster expansion, and finding the ground state of a material’s structure. Slides from Professor Peelaers talk can be found here. Professor Peelaers also walked us through a tutorial on compressed sensing, focusing on the differences between the L1 and L2 norms. This tutorial can be found here.