CAREER: Multifidelity Scientific Machine Learning for Design
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This Faculty Early Career Development (CAREER) award supports research looking to develop of a new approach to multifidelity scientific machine learning that combines data from both high- and low-fidelity simulations in a mathematically rigorous way, yielding new machine-learned models that issue high-accuracy predictions at low computational…
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