%0 Journal Article
%A Bode, Mathis
%A Gauding, Michael
%A Lian, Zeyu
%A Denker, Dominik
%A Davidovic, Marco
%A Kleinheinz, Konstantin
%A Jitsev, Jenia
%A Pitsch, Heinz
%T Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows
%J Proceedings of the Combustion Institute
%V 38
%N 2
%@ 1540-7489
%C New York, NY [u.a.]
%I Elsevier ScienceDirect
%M FZJ-2021-02100
%P 2617 - 2625
%D 2021
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000651837700001
%R 10.1016/j.proci.2020.06.022
%U https://juser.fz-juelich.de/record/892464