Tianhan Zhang

A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics

Tianhan Zhang, Yuxiao Yi, Yifan Xu et al. · Combustion and Flame · 2022 · 71 citations

Artificial Intelligence, Convolutional Neural Network, Engineering +8

Multi-scale modeling of detonation formation with concentration and temperature gradients in n-heptane/air mixtures

Tianhan Zhang, Weiqi Sun, Yiguang Ju · Proceedings of the Combustion Institute · 2016 · 56 citations

Chemical Kinetics, Engineering, N-heptane/air Mixtures +15

Modeling of the effects of non-equilibrium excitation and electrode geometry on H2/air ignition in a nanosecond plasma discharge

Xingqian Mao, Hongtao Zhong, Tianhan Zhang et al. · Combustion and Flame · 2022 · 55 citations · Full text

Engineering, Electrode Geometry, Physics +10

Effects of low-temperature chemistry and turbulent transport on knocking formation for stratified dimethyl ether/air mixtures

Tianhan Zhang, Weiqi Sun, Liang Wang et al. · Combustion and Flame · 2018 · 52 citations

Chemical Engineering, Engineering, Turbulent Flow Heat Transfer +7

DeepFlame: A deep learning empowered open-source platform for reacting flow simulations

Runze Mao, Minqi Lin, Yan Zhang et al. · Computer Physics Communications · 2023 · 52 citations · Full text