Research data supporting "Knowledge-graph approach to combustion chemistry and interoperability"
Aditya, Leonardus Kevin
Lim, Mei Qi
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Farazi, F., Salamanca, M., Mosbach, S., Akroyd, J., Eibeck, A., Aditya, L. K., Chadzynski, A., et al. (2020). Research data supporting "Knowledge-graph approach to combustion chemistry and interoperability" [Dataset]. https://doi.org/10.17863/CAM.54397
This is a repository of OWL files and code used to produce the results and figures for the paper "A knowledge-graph approach to combustion chemistry and interoperability", by Feroz Farazi, Maurin Salamanca, Sebastian Mosbach, Jethro Akroyd, Andreas Eibeck, Leonardus Kevin Aditya, Arkadiusz Chadzynski, Kang Pan, Xiaochi Zhou, Shaocong Zhang, Mei Qi Lim, and Markus Kraft. For more details, see the Readme.txt file within the dataset.
A copy of the source code of the software is provided. For more details, see the Readme.txt file within the dataset.
Chemical mechanisms, consistency, knowledge-graphs, Semantic Web, interoperability
Publication Reference: https://doi.org/10.1021/acsomega.0c02055https://www.repository.cam.ac.uk/handle/1810/307474
This work was partly funded by the National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme, and by the European Union Horizon 2020 Research and Innovation Programme under grant agreement 646121. Markus Kraft gratefully acknowledges the support of the Alexander von Humboldt foundation. The authors are grateful to EPSRC (grant number: EP/R029369/1) and ARCHER for financial and computational support as a part of their funding to the UK Consortium on Turbulent Reacting Flows (www.ukctrf.com).
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
This record's DOI: https://doi.org/10.17863/CAM.54397