Robert Youngblood

Lin, L., Athe, P., Rouxelin, P., Avramova, M., Gupta, A., Youngblood, R., … Dinh, N. (2022). Digital-twin-based improvements to diagnosis, prognosis, strategy assessment, and discrepancy checking in a nearly autonomous management and control system. ANNALS OF NUCLEAR ENERGY, 166. https://doi.org/10.1016/j.anucene.2021.108715

Hanna, B. N., Dinh, N. T., Youngblood, R. W., & Bolotnov, I. A. (2020). Machine-learning based error prediction approach for coarse-grid Computational Fluid Dynamics (CG-CFD). PROGRESS IN NUCLEAR ENERGY, 118. https://doi.org/10.1016/j.pnucene.2019.103140

Bao, H., Dinh, N. T., Lane, J. W., & Youngblood, R. W. (2019). A data-driven framework for error estimation and mesh-model optimization in system-level thermal-hydraulic simulation. NUCLEAR ENGINEERING AND DESIGN, 349, 27–45. https://doi.org/10.1016/j.nucengdes.2019.04.023