8 Einträge gefunden

1. Model-assisted DoE applied to microalgae processes

   1. Gassenmeier, Veronika
   2. Deppe, Sahar
   3. Hernández Rodríguez, Tanja
   4. Kuhfuß, Fabian
   5. Moser, André
   6. Hass, Volker C.
   7. Kuchemüller, Kim Beatrice

   2022 - TUHH Open Research - frei zugänglich
2. Model-assisted DoE software: optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses

   1. Moser, André
   2. Kuchemüller, Kim Beatrice
   3. Deppe, Sahar
   4. Hernández Rodríguez, Tanja
   5. Frahm, Björn
   6. Pörtner, Ralf
   7. Hass, Volker C.

   2021 - TUHH Open Research - frei zugänglich
3. Considerations of the impacts of cell-specific growth and production rate on clone selection : a simulation study

   1. Hernández Rodríguez, Tanja
   2. Morerod, Sophie
   3. Pörtner, Ralf
   4. Wurm, Florian M.
   5. Frahm, Björn

   2021 - TUHH Open Research - frei zugänglich
4. Model uncertainty-based evaluation of process strategies during scale-up of biopharmaceutical processes

   1. Möller, Johannes
   2. Hernández Rodríguez, Tanja
   3. Müller, Jan
   4. Arndt, Lukas
   5. Kuchemüller, Kim Beatrice
   6. Frahm, Björn
   7. Eibl, Regine

   2020 - TUHH Open Research - frei zugänglich
5. Towards integration of prior knowledge and propagation of uncertainty for digital twins of biopharmaceutical production processes

   1. Hernández Rodríguez, Tanja
   2. Posch, Christoph
   3. Pörtner, Ralf
   4. Frahm, Björn

   2020 - TUHH Open Research
6. Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed train

   1. Hernández Rodríguez, Tanja
   2. Posch, Christoph
   3. Pörtner, Ralf
   4. Frahm, Björn

   2020 - TUHH Open Research - frei zugänglich
7. Estimation of process model parameters

   1. Deppe, Sahar
   2. Frahm, Björn
   3. Hass, Volker C.
   4. Hernández Rodríguez, Tanja
   5. Kuchemüller, Kim Beatrice
   6. Möller, Johannes
   7. Pörtner, Ralf

   2020 - TUHH Open Research
8. Predicting industrial-scale cell culture seed trains – a bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method

   1. Hernández Rodríguez, Tanja
   2. Posch, Christoph
   3. Schmutzhard, Julia
   4. Stettner, Josef
   5. Weihs, Claus
   6. Pörtner, Ralf
   7. Frahm, Björn

   2019 - TUHH Open Research - frei zugänglich