The National Science Foundation (NSF) Division of Chemistry awarded a $521,959 Project Grant to the Regents of the University of Michigan to develop chemist-in-the-loop machine learning approaches for predicting chemical reaction outcomes, under the Mathematical and Physical Sciences program (CFDA 47.049). The project, led by Professor Paul Zimmerman, will combine advanced machine learning with graph-based reaction discovery tools to overcome data scarcity challenges in reaction mechanism discovery. The research aims to provide an environment to train young scientists in mechanism development, including teaching data science, software development, and mentoring neurodiverse interns. The project will run from September 1, 2023 to August 31, 2026.
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