%0 Thesis
%A Heymann, William
%T Advanced parameter estimation, Bayesian uncertainty quantification, and surrogate modeling for chromatography processes
%I RWTH Aachen
%V Dissertation
%M FZJ-2023-05190
%P 139 p.
%D 2023
%Z Dissertation, RWTH Aachen, 2023
%F PUB:(DE-HGF)11
%9 Dissertation / PhD Thesis
%U https://juser.fz-juelich.de/record/1019142