A machine learning method to predict rate constants for various reactions in combustion kinetic models
Combustion and Flame, vol. 263, pp. 113375
Authors 6
-
Affiliation as printed
School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
-
Affiliation as printed
Institute for Combustion Technology, RWTH Aachen University, Aachen 52056, Germany
-
Shanghai Jiao Tong University · RWTH Aachen University
Affiliation as printed
Institute for Combustion Technology, RWTH Aachen University, Aachen 52056, Germany
Key Laboratory for Power Machinery of M. O. E., Shanghai Jiao Tong University, Shanghai 200240, China
-
State Key Laboratory of Multiphase Flow in Power Engineering · Xi'an Jiaotong University
Affiliation as printed
State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
-
Shenghua Liu corresponding
Affiliation as printed
School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
-
Affiliation as printed
Institute for Combustion Technology, RWTH Aachen University, Aachen 52056, Germany
Cited by 31 stored of 31
No patents citing this paper on Lens.org (checked 2026-10-06).