Dissertation / PhD Thesis FZJ-2023-05190

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Advanced parameter estimation, Bayesian uncertainty quantification, and surrogate modeling for chromatography processes



2023

139 p. () = Dissertation, RWTH Aachen, 2023


Note: Dissertation, RWTH Aachen, 2023

Contributing Institute(s):
  1. Biotechnologie (IBG-1)
Research Program(s):
  1. 2171 - Biological and environmental resources for sustainable use (POF4-217) (POF4-217)

Appears in the scientific report 2023
Click to display QR Code for this record

The record appears in these collections:
Document types > Theses > Ph.D. Theses
Institute Collections > IBG > IBG-1
Workflow collections > Public records
Publications database

 Record created 2023-12-07, last modified 2023-12-07



Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)