Jun Fang | Argonne National Laboratory

Biography

Presently, Dr. Jun Fang works as a nuclear engineer within the Nuclear Science and Engineering Division at Argonne National Laboratory. His research pursuits involve the analysis of reactor thermal hydraulics and two-phase flow modeling, utilizing advanced simulation techniques and high-performance computing. With extensive experience, Dr. Fang has conducted high-fidelity simulations for both Light Water Reactors (LWR) and advanced non-LWR reactors on leadership-class supercomputers.

Education:

Ph.D. North Carolina State University - Nuclear Engineering (Minor in Mech. Eng.), 2016
M.Eng. North Carolina State University - Nuclear Engineering, 2014
B.Eng. University of Science and Technology of China - Nuclear Science and Technology, 2012

Publications:

Shaver, D. R., Tomboulides, A., Obabko, A., Fang, J., & Saini, N. (2023). Demonstration of RANS models with wall functions in the spectral element code Nek5000. Nuclear Engineering and Design, 408, 112302. https://doi.org/10.1016/j.nucengdes.2023.112302
Frederix, E. M. A., Tajfirooz, S., Hopman, J. A., Fang, J., Merzari, E., & Komen, E. M. J. (2023). Two-Phase Turbulent Kinetic Energy Budget Computation in Co-Current Taylor Bubble Flow. Nuclear Science and Engineering, 1–17. https://doi.org/10.1080/00295639.2022.2141517
Giudicelli, G. L., Abou-Jaoude, A., Novak, A. J., Abdelhameed, A., Balestra, P., Charlot, L., Fang, J., Feng, B., Folk, T., Freile, R., Freyman, T., Gaston, D., Harbour, L., Hua, T., Jiang, W., Martin, N., Miao, Y., Miller, J., Naupa, I., … Permann, C. (2023). The Virtual Test Bed (VTB) Repository: A Library of Reference Reactor Models Using NEAMS Tools. Nuclear Science and Engineering, 197(8), 2217–2233. https://doi.org/10.1080/00295639.2022.2142440
Fang, J., Yu, Y., Yuan, H., Merzari, E., & Shaver, D. R. (2022). CFD Evaluation of Pressure Change Along Coolant Passages in Sodium-Cooled Fast Reactor with Nek5000. Nuclear Technology, 208(8), 1233–1243. https://doi.org/10.1080/00295450.2021.1957373
Novak, A. J., Andrs, D., Shriwise, P., Fang, J., Yuan, H., Shaver, D., Merzari, E., Romano, P. K., & Martineau, R. C. (2022). Coupled Monte Carlo and thermal-fluid modeling of high temperature gas reactors using Cardinal. Annals of Nuclear Energy, 177, 109310. https://doi.org/10.1016/j.anucene.2022.109310
Fang, J., Shaver, D. R., Min, M., Fischer, P., Lan, Y.-H., Rahaman, R., Romano, P., Benhamadouche, S., Hassan, Y. A., Kraus, A., & Merzari, E. (2021). Feasibility of Full-Core Pin Resolved CFD Simulations of Small Modular Reactor with Momentum Sources. Nuclear Engineering and Design, 378. https://doi.org/10.1016/j.nucengdes.2021.111143
Fang, J., Purser, M. K., Smith, C., Balakrishnan, R., Bolotnov, I. A., & Jansen, K. E. (2020). Annular Flow Simulation Supported by Iterative In-Memory Mesh Adaptation. Nuclear Science and Engineering, 1–14. https://doi.org/10.1080/00295639.2020.1743577
Fan, Y., Fang, J., & Bolotnov, I. A. (2020). Complex bubble deformation and break-up dynamics studies using interface capturing approach. Experimental and Computational Multiphase Flow, 3(3), 139–151. https://doi.org/10.1007/s42757-020-0073-3
Cambareri, J. J., Fang, J., & Bolotnov, I. A. (2020). Interface capturing simulations of bubble population effects in PWR subchannels. Nuclear Engineering and Design, 365, 110709. https://doi.org/10.1016/j.nucengdes.2020.110709
Chang, C.-W., Fang, J., & Dinh, N. T. (2020). Reynolds-Averaged Turbulence Modeling Using Deep Learning with Local Flow Features: An Empirical Approach. Nuclear Science and Engineering, 1–15. https://doi.org/10.1080/00295639.2020.1712928
Fang, J., Cambareri, J. J., Li, M., Saini, N., & Bolotnov, I. A. (2020). Interface-Resolved Simulations of Reactor Flows. Nuclear Technology, 206(2), 133–149. https://doi.org/10.1080/00295450.2019.1620056
Cambareri, J. J., Fang, J., & Bolotnov, I. A. (2020). Simulation scaling studies of reactor core two-phase flow using direct numerical simulation. Nuclear Engineering and Design, 358, 110435. https://doi.org/10.1016/j.nucengdes.2019.110435
Fang, J., Cambareri, J. J., Rasquin, M., Gouws, A., Balakrishnan, R., Jansen, K. E., & Bolotnov, I. A. (2019). Interface Tracking Investigation of Geometric Effects on the Bubbly Flow in PWR Subchannels. Nuclear Science and Engineering, 193(1–2), 46–62. https://doi.org/10.1080/00295639.2018.1499280
Fang, J., Cambareri, J. J., Brown, C. S., Feng, J., Gouws, A., Li, M., & Bolotnov, I. A. (2018). Direct numerical simulation of reactor two-phase flows enabled by high-performance computing. Nuclear Engineering and Design, 330, 409–419. https://doi.org/10.1016/j.nucengdes.2018.02.024
Fang, J., & Bolotnov, I. A. (2017). Bubble tracking analysis of PWR two-phase flow simulations based on the level set method. Nuclear Engineering and Design, 323(Supplement C), 68–77. https://doi.org/10.1016/j.nucengdes.2017.07.034
Fang, J., Rasquin, M., & Bolotnov, I. A. (2017). Interface tracking simulations of bubbly flows in PWR relevant geometries. Nuclear Engineering and Design, 312(Supplement C), 205–213. https://doi.org/10.1016/j.nucengdes.2016.07.002
Thomas, A. M., Fang, J., Feng, J., & Bolotnov, I. A. (2015). Estimation of shear-induced lift force in laminar and turbulent flows. Nuclear Technology, 190(3), 274–291. https://doi.org/10.13182/NT14-72