Zefang is a PhD student in Nuclear Engineering at the Georgia Institute of Technology. He is also a Master student in Computational Science and Engineering. He came to Georgia Tech in 2016 and joined FRC in 2018.
Zefang’s primary research is in theory and simulation of burning plasma dynamics in tokamaks. He is also interested in applying deep learning for fusion plasma physics. His previous research areas were in chemical kinetics and combustion simulations.
MS in Aerospace Engineering, Georgia Institute of Technology, 2018
BE in Energy and Power Engineering, Shandong University, 2016
Minor in Financial Mathematics and Financial Engineering
Wang, Y., Movaghar, A., Wang, Z., Liu, Z., Sun, W., Egolfopoulos, F. N., & Chen, Z. (2020). Laminar flame speeds of methane/air mixtures at engine conditions: Performance of different kinetic models and power-law correlations. Combustion and Flame, 218, 101 – 108. doi: https://doi.org/10.1016/j.combustflame.2020.05.004
Karimi, M., Ochs, B., Liu, Z., Ranjan, D., & Sun, W. (2019). Measurement of methane autoignition delays in carbon dioxide and argon diluents at high pressure conditions. Combustion and Flame, 204, 304 – 319. doi: https://doi.org/10.1016/j.combustflame.2019.03.020
Liu, Z., Gao, X., Karimi, M., Ochs, B., Acharya, V., Sun, W., … Andrews, N. (2018). Sensitivity of reduced kinetic models: The cfd simulation of sco2 oxy-combustion. In Turbo expo: Power for land, sea, and air (Vol. 51067, p. V04BT04A040).