DSI Affiliates are Co-PIs on $4.5 Million Grant

DSI affiliates George Karypis (Computer Science & Engineering) and Ellad Tadmor (Aerospace Engineering & Mechanics) are co-principle investigators on a four-year project that will establish foundational machine learning models that can be applied in materials science. The grant, entitled "At-Scale Heterogeneous Data based Adaptive Development Platform for Machine-Learning Models for Material and Chemical Discovery,"  was awarded by the National Science Foundation through the Office of Advanced Cyberinfrastructure (OAC). Also part of the team are Principal Investigator Stefano Martiniani (Physics and Chemistry) from New York University, and co-PI Adrian Roitberg (Chemistry) from the University of Florida, as well as industry support from Amazon Web Services (AWS).

For the past year, the CSE DSI has been working with materials science researchers within the College to explore ways that data science and especially machine learning can play a role in discovering new materials. This included a successful workshop in September, Advancing Molecules & Materials via Data Science, and a Journal Club focused on data science and materials science. The group will continue to collaborate as data science becomes a significant part of the development of new materials.

Read more about the grant in this CS&E news post.