grant
CAREER: Data-Driven Learning of Interpretable and Extrapolative Models of Complex Systems with Sparse Data
Organization University of ConnecticutLocation STORRS, United StatesPosted 1 Jul 2026Deadline 30 Jun 2031
NSFUS FederalResearch GrantScience FoundationCT
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Modern scientific and engineering challenges, from understanding cell growth to predicting material failure and crack formation under stress, require complex modeling and expensive experiments. While machine learning has demonstrated remarkable potential to accelerate scientific discovery for highly complex systems and reduce costs, its adoption…
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