A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Processes 8.1 (2020): 65.
- Ereignis
-
Veröffentlichung
- (wo)
-
Erlangen
- (wer)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (wann)
-
2020
- Urheber
-
Schmölder, Johannes
Kaspereit, Malte
- DOI
-
10.3390/pr8010065
- URN
-
urn:nbn:de:bvb:29-opus4-133108
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:48 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Schmölder, Johannes
- Kaspereit, Malte
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Entstanden
- 2020
Ähnliche Objekte (12)
Modelling and optimization of chromatographic process in protein separation
Advanced chromatographic methods for lignin characterization
Advanced hyperparameter optimization: performance modelling and efficient benchmarking
Mathematical modeling and mixed-integer optimization of multimodal chromatographic processes
Advanced financial modelling
Chromatographic analysis
Optimization of chromatographic multi-component separations in silico using HTS-data
Advanced Django queries optimization
Chromatographic adsorption analysis
Chromatographic Separation #2
Chromatographic Separation #1
Chromatographic Separation #5
Modelling and optimization of chromatographic process in protein separation
Advanced chromatographic methods for lignin characterization
Advanced hyperparameter optimization: performance modelling and efficient benchmarking
Mathematical modeling and mixed-integer optimization of multimodal chromatographic processes
Advanced financial modelling
Chromatographic analysis
Optimization of chromatographic multi-component separations in silico using HTS-data
Advanced Django queries optimization
Chromatographic adsorption analysis
Chromatographic Separation #2
Chromatographic Separation #1
Chromatographic Separation #5
Modelling and optimization of chromatographic process in protein separation
Advanced chromatographic methods for lignin characterization
Advanced hyperparameter optimization: performance modelling and efficient benchmarking
Mathematical modeling and mixed-integer optimization of multimodal chromatographic processes
Advanced financial modelling
Chromatographic analysis
Optimization of chromatographic multi-component separations in silico using HTS-data
Advanced Django queries optimization
Chromatographic adsorption analysis
Chromatographic Separation #2
Chromatographic Separation #1