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Institute for Combustion Technology
Uni
versity of Stuttgart
F
aculty
04
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Research
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Research
Modelling of gas phase combustion
Modelling of multiphase flows (gas/liquid)
Modelling of multiphase flows (gas/solid)
Modelling of nanoparticle processes
Deep learning
Publications
Deep learning
Application of deep learning in combustion
Modelling of gas phase combustion
MMC-LES modelling of premixed and stratified combustion
MMC-LES modelling of alternative fuels
MMC-LES modelling of extinction and re-ignition in non-premixed flames
Conservative CMC-LES modelling of turbulent jet flames
MMC-LES modelling of differential diffusion
Modelling of multiphase flows (gas/liquid)
MMC-LES modelling of spray combustion
DNS of droplet evaporation and combustion
Modelling and simulation of flash boiling in cryogenic liquids
CMC-LES modelling of spray combustion
Modelling of multiphase flows (gas/solid)
DNS of single particle and particle cloud combustion
LES of pulverised coal combustion
Workshop on Measurement and Simulation of Coal and Biomass Conversion “CBC”
Sparse-Lagrangian particle methods for solid fuel combustion
Modelling of nanoparticle processes
Agglomeration of nanoparticles in turbulent flows
PDF-LES modelling of nanodroplet nucleation and growth
MMC-LES modelling of silica nanoparticle flame synthesis
MMC-LES modelling of nanoparticle synthesis in spray flames
Teaching
Studentische Arbeiten
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Institute
Team
Yao, Songbai
Songbai Yao
Dr.
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Subject
Application of Deep Learning in Combustion
Vita
From: Fujian, China
2009-2013: B.Eng. in Engineering Mechanics, Wuhan University, China
2013-2018: Ph.D. in Fluid Mechanics, Peking University, China
Since 2018: Scientific staff, ITV Stuttgart
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