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Mark Kelly
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Toward machine learned highly reduced kinetic models for methane/air combustion
M Kelly, S Dooley, G Bourque
Turbo Expo: Power for Land, Sea, and Air 84942, V03AT04A005, 2021
132021
Machine learned compact kinetic models for methane combustion
M Kelly, M Fortune, G Bourque, S Dooley
Combustion and Flame 253, 112755, 2023
52023
Low-dimensional high-fidelity kinetic models for NOX formation by a compute intensification method
M Kelly, H Dunne, G Bourque, S Dooley
Proceedings of the Combustion Institute 39 (1), 199-209, 2023
42023
Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models
M Kelly, M Fortune, G Bourque, S Dooley
arXiv preprint arXiv:2202.08021, 2022
22022
A physics constrained methodology for the life cycle assessment of sustainable aviation fuel production
LA Mannion, A Bell, T Watson-Murphy, M Kelly, MR Ghaani, S Dooley
Biomass and Bioenergy 185, 107169, 2024
2024
Ab Initio and Kinetic Modeling of β-d-Xylopyranose under Fast Pyrolysis Conditions
J Lupi, L Ayarde-Henríquez, M Kelly, S Dooley
The Journal of Physical Chemistry A, 2024
2024
Quantum Chemical Modelling of Hemicellulose Fast Pyrolysis: β-D-xylopyranose as a Structural Motif
J Lupi, M Kelly, A O'Shea, MR Ghaani, S Dooley
2023
Machine Learned Compact Kinetic Models for Combustion
M Kelly
The University of Dublin, 2023
2023
Production of ethyl acetate from pyrolysis of lignin model compound guaiacylglycerol-β-guaiacyl using TGA-MS
MJ Kelly, AD Ure, S Dooley
2019
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