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Number of items: 4.

Nicolai, H. and Kuenne, G. and Knappstein, R. and Schneider, H. and Becker, L.G. and Hasse, C. and di Mare, F. and Dreizler, A. and Janicka, J. (2020):
Large Eddy Simulation of a laboratory-scale gas-assisted pulverized coal combustion chamber under oxy-fuel atmospheres using tabulated chemistry.
In: Fuel, 272272. Elsevier, p. 117683, ISSN 0016-2361,
DOI: 10.1016/j.fuel.2020.117683,
[Online-Edition: https://doi.org/10.1016/j.fuel.2020.117683],

Debiagi, P. and Nicolai, H. and Han, W. and Janicka, J. and Hasse, C. (2020):
Machine learning for predictive coal combustion CFD simulations-From detailed kinetics to HDMR Reduced-Order models.
In: Fuel, 274. p. 117720, DOI: 10.1016/j.fuel.2020.117720,
[Online-Edition: https://doi.org/10.1016/j.fuel.2020.117720],

Debiagi, P. and Nicolai, H. and Han, W. and Janicka, J. and Hasse, C. (2019):
Towards predictive CFD simulations of coal combustion – using Machine Learning for efficient representation of solid fuel kinetics.
Qingdao, China, In: Proceedings of the 9th International Symposium on Coal Combustion, (Qingdao, China), 21.-24.7.2019, [Conference or Workshop Item]

Knappstein, R. and Kuenne, G. and Nicolai, H. and di Mare, F. and Sadiki, A. and Janicka, J. (2019):
Description of the char conversion process in coal combustion based on premixed FGM chemistry.
In: Fuel, 236pp. 124-134, ISSN 00162361,
DOI: 10.1016/j.fuel.2018.08.158,
[Online-Edition: https://doi.org/10.1016/j.fuel.2018.08.158],

This list was generated on Sat Jun 6 01:23:10 2020 CEST.