Peer-reviewed publications using CMCL’s software, covering areas such as ontology engineering, software interoperability, knowledge graphs, exhaust after-treatment, gas phase and particle number emissions, and more. Read the publications at the links below.


– Publication 1: C. T. Lao, J. Akroyd, N. A. Eaves, A. Smith, N. M. Morgan, A. Bhave, and M. Kraft, (2019) Modelling particle mass and particle number emissions during the active regeneration of diesel particulate filters, Proceedings of the Combustion Institute 37(4), 4831-4838
URL: https://doi.org/10.1016/j.proci.2018.07.079

– Publication 2: K. F. Lee, N. Eaves, S. Mosbach, D. Ooi, J. Lai, A. Bhave, A. Manz, J. N. Geiler, J. A. Noble, D. Duca, C. Focsa, C., (2019). Model Guided Application for Investigating Particle Number (PN) Emissions in GDI Spark Ignition Engines. SAE Technical Paper 2019-26-0062. [Selected for publication in Advances and Current Practices in Mobility: SAE International Conference Proceedings]
https://doi.org/10.4271/2019-26-0062

– Publication 3: A. Korsunovs, F. Campean, G. Pant, O. Garcia-Afonso, and E. Tunc, (2019), Evaluation of zero-dimensional stochastic reactor modelling for a Diesel engine application, International Journal of Engine Research, 1-18
URL: https://doi.org/10.1177/1468087419845823

– Publication 4: X. Zhou, A. Eibeck, M. W. Lim, N. B. Krdzavac, and M. Kraft, (2019), An agent composition framework for the J-Park simulator – a knowledge graph for the process industry, Preprint Cambridge Centre for Computational Chemical Engineering, USSN 1473-4273, Preprint No. 227
URL: https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-227.pdf