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 | 13 | 2021 |
Machine learned compact kinetic models for methane combustion M Kelly, M Fortune, G Bourque, S Dooley Combustion and Flame 253, 112755, 2023 | 5 | 2023 |
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 | 4 | 2023 |
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 | 2 | 2022 |
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 |