This section presents a record of the group's publications to date. Most of these publications are drawn from preprints, many of which are available in full in the Preprints section. To find out about the group's work in detail you are invited to review the relevant preprint as appropriate.The broad interests of the group are reflected in the wide spectrum of publications in which the group's work is published, ranging from the Journal of Computational Physics to Combustion and Flame and including specialist computational methods journals such as Monte Carlo Methods and Applications.
Recent Publications
Knowledge Graph Approach to Combustion Chemistry and Interoperability
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, ACS Omega 5(29), 18342-18348, (2020).
A Parallel World Framework for scenario analysis in knowledge graphs
Andreas Eibeck, Arkadiusz Chadzynski, Mei Qi Lim, Leonardus Kevin Aditya, Laura Ong, Aravind Devanand, Gourab Karmakar, Sebastian Mosbach, Raymond Lau, Iftekhar A. Karimi, Eddy Y.S. Foo, and Markus Kraft, Data-Centric Engineering 1, 6, (2020).
Juan Ramírez, David Soto, Sebastian López, Jethro Akroyd, Daniel Nurkowski, Maria Botero, Nicola Bianco, George Brownbridge, Markus Kraft, and Alejandro Molina, Education for Chemical Engineers 33, 36-44, (2020).
Deep kernel learning approach to engine emissions modeling
Changmin Yu, Marko Seslija, George Brownbridge, Sebastian Mosbach, Markus Kraft, Mohammad Parsi, Mark Davis, Vivian Page, and Amit Bhave, Data-Centric Engineering 1, 4, (2020).