The University of California, Santa Barbara was awarded a $1,040,000 project grant from the National Science Foundation Division of Materials Research. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to advance scientific knowledge and understanding of major problems.
Specifically, the four-year award will fund collaborative research titled "Symmetry-Guided Machine Learning for the Discovery of Topological Phononic Materials." The university will leverage machine learning techniques informed by material symmetry to identify new phononic materials with topological properties. Such materials could enable next-generation technologies like quantum computing and low-power electronics. The grant period runs from October 1, 2021 through September 30, 2025, with the university serving as the primary awardee and provider of the proposed research services.
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