DOE OSTI · 2575322
Physics-Informed Machine Learning for Void Fraction Prediction in Upward and Downward Two-Phase Flows
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Rotilio, Davide [University of Tennessee, Knoxville (UTK)], Petersen, Jacob [University of Tennessee, Knoxville (UTK)], Salko Jr, Robert [ORNL] (ORCID:0000000253566679), Zhao, Xingang [University of Tennessee, Knoxville (UTK)]. 2025-06-01. Physics-Informed Machine Learning for Void Fraction Prediction in Upward and Downward Two-Phase Flows. https://www.osti.gov/biblio/2575322
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