Graduate Seminar will be held Monday, March 16th, 2020 at 4:00pm in CB 256.
Dr. Taylor Sparks of University of Utah will be speaking.
Building the machine learning tools that will enable materials discovery
We need to discover new materials in order to address many of the challenges that humanity faces in the 21st century. The emerging field of Materials Informatics offers a relatively new and under-utilized approach via machine learning and data science approaches to discovery new materials. However, the tasks and requirements associated with Materials Informatics do not match the typical tasks and requirements of traditional machine learning. It’s clear that we need to build materials specific machine learning algorithms, features, and cross-validation techniques to address the unique challenges of materials discovery. In this talk I’ll describe tools we’ve built in our group and provide case studies in validation in thermoelectrics, superhard materials, crystal structure prediction and more.
Dr. Sparks is an Associate Professor & Associate Chair of Materials Science and Engineering at the University of Utah. He is an alumni of the department he now teaches in. He did his MS in Materials at UCSB and his PhD in Applied Physics at Harvard University with David Clarke and then did a postdoc with Ram Seshadri at UCSB.