Congratulations to Chih-Wei Chang and Jun Fang, they won the best paper award at the 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-18). Their paper was entitled “Reynolds-Averaged Turbulence Modeling Using Deep Learning with Local Flow Features – an Empirical Approach”.
Dr. Chih-Wei Chang graduated from NC State’s Nuclear Engineering department in spring 2018 and was advised by Dr. Nam Dinh. His dissertation, “Data-Driven Modeling of Nuclear System Thermal-Hydraulics”, developed a methodology to enhance predictive power of data-driven nuclear system thermal-hydraulics (NSTH) simulation using machine learning. Chih-Wei is currently a postdoctoral fellow at Emory University School of Medicine.
Dr. Jun Fang graduated in summer 2016 and was advised by Dr. Igor Bolotnov. His dissertation, “Development of Advanced Analysis Toolkit for Turbulent Bubbly Flow Simulations”, investigated the correlations among parameters to improve the understanding of bubbly flow behavior. Jun is currently a postdoctoral fellow at Argonne National Laboratory.