output
20132026
most citedToward Development of Machine Learned Techniques for Production of Compact Kinetic Models

22 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing physics.chem-phShow all

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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…