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CAREER: Physics-Informed, AI-Driven Prediction and Optimization of Concrete for Resilient Infrastructure

US NSF grant open #nsf-2543840

Summary

This Faculty Early Career Development Program (CAREER) award will advance the predictive design of concrete, the most widely used construction material, by developing new data-driven approaches to improve performance, cost efficiency, and resource utilization. Concrete production currently relies on empirical, trial-and-error methods that often lead to suboptimal mixtures and increased costs. These limitations are becoming more significant as the industry incorporates diverse supplementary materials derived from industrial byproducts and natural resources, introducing greater variability and c

CAREER: Physics-Informed, AI-Driven Predic…
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