%0 Journal Article %1 yao2022efficient %A Yao, Songbai %A Kronenburg, Andreas %A Stein, Oliver Thomas %D 2022 %I Elsevier %J Combustion and flame %K %N March %P 111722 %R 10.1016/j.combustflame.2021.111722 %T Efficient modeling of the filtered density function in turbulent sprays using ensemble learning %V 237

@article{yao2022efficient, added-at = {2023-08-31T16:42:56.000+0200}, affiliation = {Yao, S (Corresponding Author), Univ Stuttgart, Inst Tech Verbrennung, Herdweg 51, D-70174 Stuttgart, Germany. Yao, S.; Kronenburg, A.; Stein, O. T., Univ Stuttgart, Inst Tech Verbrennung, Herdweg 51, D-70174 Stuttgart, Germany.}, author = {Yao, Songbai and Kronenburg, Andreas and Stein, Oliver Thomas}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/286f15d3d7d862a7827b93c1acc441f37/puma-wartung}, doi = {10.1016/j.combustflame.2021.111722}, interhash = {4a3ac60b6d3c56fa74c88fd44f20b2d3}, intrahash = {86f15d3d7d862a7827b93c1acc441f37}, issn = {{0010-2180} and {1556-2921}}, journal = {Combustion and flame}, keywords = {}, language = {eng}, number = {March}, pages = 111722, publisher = {Elsevier}, research-areas = {Thermodynamics; Energy & Fuels; Engineering}, timestamp = {2023-08-31T14:42:56.000+0200}, title = {Efficient modeling of the filtered density function in turbulent sprays using ensemble learning}, unique-id = {WOS:000780238700009}, volume = 237, year = 2022 }