%0 Thesis %1 vo2018analysis %A Vo, Son %C Stuttgart %D 2018 %K diss oa phf04 ubs_10004 ubs_20004 ubs_30049 unibibliografie %R 10.18419/opus-10013 %T DNS analysis of Large Eddy Simulation-Filtered Density Function (LES-FDF) modeling for gas phase combustion and nanoparticle flame synthesis

@phdthesis{vo2018analysis, added-at = {2019-10-31T17:33:25.000+0100}, address = {Stuttgart}, author = {Vo, Son}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2675001ee2f3be72a4649e0f37ec684b4/unibiblio-3}, doi = {10.18419/opus-10013}, eventdate = {2018-06-27}, interhash = {f1f89cd463f996b03775da3e1df92f3b}, intrahash = {675001ee2f3be72a4649e0f37ec684b4}, keywords = {diss oa phf04 ubs_10004 ubs_20004 ubs_30049 unibibliografie}, language = {eng}, school = {Universität Stuttgart}, supervisor = {Kronenburg, Andreas}, supervisorgnd = {1047088533}, timestamp = {2020-07-24T07:26:46.000+0200}, title = {DNS analysis of Large Eddy Simulation-Filtered Density Function (LES-FDF) modeling for gas phase combustion and nanoparticle flame synthesis}, type = {Dissertation}, year = 2018 }