Project Grant 2232968

This $106,769 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program will support the development of new methods to systematically explore and predict materials microstructures. The University of California, Davis will receive funding from September 1, 2022 through August 31, 2024 to adapt machine learning and data science techniques for materials science applications. Specifically, the university will integrate expert knowledge on physically meaningful microstructure comparisons into machine learning models to provide a systematic approach for discovering both realized and unrealized microstructures. This is expected to improve the accuracy and efficiency of models that predict material properties based solely on microstructure. The grant will also support research experiences for undergraduate and graduate students in mathematics and materials science.