On-the-fly artificial neural network for chemical kinetics in direct numerical simulations of premixed combustion

Transient Ignition of Premixed Methane/Air Mixtures by a Pre-chamber Hot Jet: a DNS Study

“…DINO has been extensively used in numerous combustion studies, e.g. (Chi et al 2017(Chi et al , 2018(Chi et al , 2019(Chi et al , 2021Thévenin 2017, 2019), in which the proper coupling between chemical reactions, turbulent transport, and heat exchange has been fully validated.…”

Autonomous kinetic modeling of biomass pyrolysis using chemical reaction neural networks

“…Neural network models have been employed for combustion kinetic modeling for computation acceleration by approximating a given complex model with computationally cheap neural network models [5][6][7][8][9][10], and for learning combustion models from experimental data when there is no available model [11,12]. While black-box neural network models have shown success in fitting the experimental data, it is often desirable that the learned model can be interpretable such that the model can also elucidate the reaction pathways and thus provide chemical insights.…”

Thermal decomposition of nano Al-based energetic composites with fluorinated energetic polyurethane binders: experimental and theoretical understandings for enhanced combustion and energetic performance

“…In addition, in order to deeply understand the thermal decomposition process of energetic materials, the commonly used kinetic models are Kissinger, 16 Friedman, 17 Ozawa, 18 Starink, 19 and chemical reaction neural network (CRNN). [20][21][22][23] The CRNN uses the network model to solve the reaction kinetics equation, and can propose the multi-step overall reaction mechanism, which can deeply understand the thermal decomposition kinetics of complex systems.…”