Tianhan Zhang, full professor at School of Astronautics. 

Education: 

B.S., Peking University 

Ph.D., Princeton University (Advisors: Professors Yiguang Ju and Weinan E)

Research Focus: 

AI for Science (AI4S), combustion, CFD, and high-performance computing. We utilizes numerical simulation and artificial intelligence methods to address fundamental scientific questions in advanced aerospace propulsion, focusing on multi-scale modeling. 

Publications: 

Published over 20 SCI papers in authoritative journals in combustion and aerospace, including Combustion and Flame, Proceedings of the Combustion Institute, Fuel, AIAA Journal, Chemical Engineering Science, and Computer Physics Communications. 

Publications in recent five years:

[13] Wang, Y., Liang, S., Xu, ZQJ., Zhang, T.*, Ji, L.*, Artificial neural network aided unstable combustion state prediction and dominant chemical kinetic analysis, Chemical Engineering Science (2024): 120567.

[12] Wang, Z., Zhang, Y., Lin, P., Zhao, E., Weinan, E., Zhang, T.*, & Xu, Z. Q. J.*, Deep mechanism reduction (DeePMR) method for fuel chemical kinetics, Combustion and Flame 261 (2024): 113286.

[11] Xie, S., Chen, X., Wang, Y., Zhang, T.*, & Chen, Z., Numerical study on forced ignition and flame propagation in a counterflow of nitrogen-diluted hydrogen versus air, Fuel 357 (2024): 129863.

[10] Wang, Y., Guan, X., Xie, S., Zhou, M., Zhang, Z., Chen, Z., & Zhang, T.*, Numerical studies on the ignition and propagation for spherically expanding premixed cool flames under gravitational conditions, Combustion and Flame 259 (2024): 113194.

[9] Mao, R., Lin, M., Zhang, Y., Zhang, T., Xu, Z. Q. J., & Chen, Z. X., DeepFlame: A deep learning empowered open-source platform for reacting flow simulations, Computer Physics Communications 291 (2023): 108842.

[8] Zhang, T.*, Susa, A. J., Hanson, R. K., & Ju, Y., Two-dimensional simulation of cool and double flame formation induced by the laser ignition under shock-tube condition, Proceedings of the Combustion Institute 39.2 (2023): 2017-2025.

[7] Zhang, T*., Yi, Y., Xu, Y., Chen, Z. X., Zhang, Y., Weinan, E., & Xu, Z. Q. J.*, A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics, Combustion and Flame 245 (2022): 112319.

[6] Mao, X., Zhong, H., Zhang, T., Starikovskiy, A., & Ju, Y., Modeling of the effects of non-equilibrium excitation and electrode geometry on H2/air ignition in a nanosecond plasma discharge, Combustion and Flame 240 (2022): 112046.

[5] Zhao, H., Yan, C., Zhang, T., Ma, G., Souza, M. J., Zhou, C. W., & Ju, Y., Studies of high-pressure n-butane oxidation with CO2 dilution up to 100 atm using a supercritical-pressure jet-stirred reactor, Proceedings of the Combustion Institute 38.1 (2021): 279-287.

[4] Zhang, T.*, Susa, A. J., Hanson, R. K., & Ju, Y., Studies of the dynamics of autoignition assisted outwardly propagating spherical cool and double flames under shock-tube conditions, Proceedings of the Combustion Institute 38.2 (2021): 2275-2283.

[3] Zhao, H., Zhao, N., Zhang, T., Wu, S., Ma, G., Yan, C., & Ju, Y., Studies of multi-channel spark ignition of lean n-pentane/air mixtures in a spherical chamber, Combustion and Flame 212 (2020): 337-344.

[2] Zhang, T.*, & Ju, Y., Structures and propagation speeds of autoignition-assisted premixed n-heptane/air cool and warm flames at elevated temperatures and pressures. Combustion and Flame 211 (2020): 8-17.

[1] Zhang, T.*, Sun, W., Wang, L., & Ju, Y., Effects of low-temperature chemistry and turbulent transport on knocking formation for stratified dimethyl ether/air mixtures, Combustion and Flame 200 (2019): 342-353.

We cordially invite interested students and scholars to contact us!