This $250,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The grant will support research at the University of Utah to develop "AI-assisted digital twins" for advancing high-power laser science and engineering. The project aims to create theoretical foundations and machine learning models to integrate scientific data, physical principles, and rapid feedback between digital simulations and physical laser systems. This will enable more efficient design, failure prediction, operational optimization, and emerging capabilities for high-power laser technologies. The multidisciplinary research involves collaboration between mathematics, data science, and laser experts, and will train the next generation of scientists in these areas. The project period runs from October 1, 2024 to September 30, 2027.
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