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physics.chem-ph2022★ 6 cited
Low-Dimensional High-Fidelity Kinetic Models for NOX Formation by a Compute Intensification Method
Mark Kelly, Harry Dunne, Gilles Bourque +1
A novel compute intensification methodology to the construction of low-dimensional, high-fidelity "compact" kinetic models for NOX formation is designed and demonstrated. The metho…
physics.chem-ph2022★ 22 cited
Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models
Mark Kelly, Mark Fortune, Gilles Bourque +1
Chemical kinetic models are an essential component in the development and optimisation of combustion devices through their coupling to multi-dimensional simulations such as computa…
physics.chem-ph2021★ 5 cited
Toward Machine Learned Highly Reduce Kinetic Models For Methane/Air Combustion
Mark Kelly, Gilles Bourque, Stephen Dooley
Accurate low dimension chemical kinetic models for methane are an essential component in the design of efficient gas turbine combustors. Kinetic models coupled to computational flu…