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Towards predictive CFD simulations of coal combustion – using Machine Learning for efficient representation of solid fuel kinetics

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]

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Debiagi, P. and Nicolai, H. and Han, W. and Janicka, J. and Hasse, C.
Title: Towards predictive CFD simulations of coal combustion – using Machine Learning for efficient representation of solid fuel kinetics
Language: English
Place of Publication: Qingdao, China
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Simulation of reactive Thermo-Fluid Systems (STFS)
Event Title: Proceedings of the 9th International Symposium on Coal Combustion
Event Location: (Qingdao, China)
Event Dates: 21.-24.7.2019
Date Deposited: 14 Aug 2019 12:50
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