Hauptseite > Publikationsdatenbank > Advanced parameter estimation, Bayesian uncertainty quantification, and surrogate modeling for chromatography processes > print |
001 | 1019142 | ||
005 | 20231207201912.0 | ||
037 | _ | _ | |a FZJ-2023-05190 |
100 | 1 | _ | |a Heymann, William |0 P:(DE-Juel1)165915 |b 0 |
245 | _ | _ | |a Advanced parameter estimation, Bayesian uncertainty quantification, and surrogate modeling for chromatography processes |f - 2022-09-30 |
260 | _ | _ | |c 2023 |
300 | _ | _ | |a 139 p. |
336 | 7 | _ | |a Output Types/Dissertation |2 DataCite |
336 | 7 | _ | |a DISSERTATION |2 ORCID |
336 | 7 | _ | |a PHDTHESIS |2 BibTeX |
336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
336 | 7 | _ | |a Dissertation / PhD Thesis |b phd |m phd |0 PUB:(DE-HGF)11 |s 1701948093_18191 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a doctoralThesis |2 DRIVER |
502 | _ | _ | |a Dissertation, RWTH Aachen, 2023 |c RWTH Aachen |b Dissertation |d 2023 |
536 | _ | _ | |a 2171 - Biological and environmental resources for sustainable use (POF4-217) |0 G:(DE-HGF)POF4-2171 |c POF4-217 |f POF IV |x 0 |
909 | C | O | |o oai:juser.fz-juelich.de:1019142 |p VDB |
913 | 1 | _ | |a DE-HGF |b Forschungsbereich Erde und Umwelt |l Erde im Wandel – Unsere Zukunft nachhaltig gestalten |1 G:(DE-HGF)POF4-210 |0 G:(DE-HGF)POF4-217 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-200 |4 G:(DE-HGF)POF |v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten |9 G:(DE-HGF)POF4-2171 |x 0 |
914 | 1 | _ | |y 2023 |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-1-20101118 |k IBG-1 |l Biotechnologie |x 0 |
980 | _ | _ | |a phd |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)IBG-1-20101118 |
980 | _ | _ | |a UNRESTRICTED |
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