CAREER: A Physics-Informed Machine Learning Framework for Surrogate Modeling of Geostructural Systems
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This Faculty Early Career Development (CAREER) award will support research that attempts to advance a new computational framework that integrates high-fidelity physics and machine learning to transform earthquake engineering for geostructural systems. By reducing the high computational costs typically associated with accurate numerical models,…
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