Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling

Journal of Chromatography A, vol. 1708, pp. 464329

Authors 6

1. William Heymann Aachen

   Forschungszentrum Jülich · Amgen (Germany) · RWTH Aachen University

   Affiliation as printed

   Institute of Bio- and Geosciences (IBG-1), Forschungszentrum Jülich, Wilhelm-Johnen-Str., Jülich 52428, Germany; RWTH Aachen University, Aachen 52062, Germany; Operations Digital Technology and Innovation Process Development (Ops DTI PD), Amgen Research Munich, Staffelseestr. 2, München 81477, Germany

   Institute of Bio- and Geosciences (IBG-1), Forschungszentrum Jülich, Wilhelm-Johnen-Str., Jülich 52428, Germany

   Operations Digital Technology and Innovation Process Development (Ops DTI PD), Amgen Research Munich, Staffelseestr. 2, München 81477, Germany

   RWTH Aachen University, Aachen 52062, Germany

2. Juliane Glaser

   Amgen (Germany)

   Affiliation as printed

   Digital Integration and Predictive Technologies (DIPT), Amgen Research Munich, Staffelseestr. 2, München 81477, Germany

3. Fabrice Schlegel

   Amgen (United States)

   Affiliation as printed

   Digital Integration and Predictive Technologies (DIPT), Amgen, 360 Binney St, Cambridge, MA 02142

4. Will Johnson

   Amgen (United States)

   Affiliation as printed

   Digital Integration and Predictive Technologies (DIPT), Amgen, 360 Binney St, Cambridge, MA 02142

5. Pablo A. Rolandi

   Amgen (United States)

   Affiliation as printed

   Digital Integration and Predictive Technologies (DIPT), Amgen, 360 Binney St, Cambridge, MA 02142

6. Eric von Lieres corresponding

   Forschungszentrum Jülich

   Affiliation as printed

   Institute of Bio- and Geosciences (IBG-1), Forschungszentrum Jülich, Wilhelm-Johnen-Str., Jülich 52428, Germany. Electronic address: e.von.lieres@fz-juelich.de

   Institute of Bio- and Geosciences (IBG-1), Forschungszentrum Jülich, Wilhelm-Johnen-Str., Jülich 52428, Germany