- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Machine Learning in Chemical Engineering: A Perspective ; day:22 ; month:10 ; year:2021 ; extent:12
Chemie - Ingenieur - Technik ; (22.10.2021) (gesamt 12)
- Creator
-
Schweidtmann, Artur M.
Esche, Erik
Fischer, Asja
Kloft, Marius
Repke, Jens‐Uwe
Sager, Sebastian
Mitsos, Alexander
- DOI
-
10.1002/cite.202100083
- URN
-
urn:nbn:de:101:1-2021102215304870346254
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schweidtmann, Artur M.
- Esche, Erik
- Fischer, Asja
- Kloft, Marius
- Repke, Jens‐Uwe
- Sager, Sebastian
- Mitsos, Alexander
Other Objects (12)
Machine Learning in Chemical Engineering : A Perspective
Predictive life cycle assessment for chemical processes using machine learning
Microfabricated power generation devices : design and technology
Bioraffinierte Verfahrenstechnik. Die Aachener Verfahrenstechnik verpflichtet sich der Herausforderung "Nachwachsende Rohstoffe"
Unsicherheit in Stromnetzen : Robuste Optimierung für eine robuste Stromversorgung
Global optimization of processes through machine learning
Electrified production of ammonia as chemical product and energy storage
Relaxations of thermodynamic property and costing models in process engineering
Accelerating nonlinear model predictive control through machine learning with application to automotive waste heat recovery
Abscheideverhalten von Aerosolen in einem Kondensator
Global Solution of Semi-infinite Programs with Existence Constraints
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations
Machine Learning in Chemical Engineering : A Perspective
Predictive life cycle assessment for chemical processes using machine learning
Microfabricated power generation devices : design and technology
Bioraffinierte Verfahrenstechnik. Die Aachener Verfahrenstechnik verpflichtet sich der Herausforderung "Nachwachsende Rohstoffe"
Unsicherheit in Stromnetzen : Robuste Optimierung für eine robuste Stromversorgung
Global optimization of processes through machine learning
Electrified production of ammonia as chemical product and energy storage
Relaxations of thermodynamic property and costing models in process engineering
Accelerating nonlinear model predictive control through machine learning with application to automotive waste heat recovery
Abscheideverhalten von Aerosolen in einem Kondensator
Global Solution of Semi-infinite Programs with Existence Constraints
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations
Machine Learning in Chemical Engineering : A Perspective
Predictive life cycle assessment for chemical processes using machine learning
Microfabricated power generation devices : design and technology
Bioraffinierte Verfahrenstechnik. Die Aachener Verfahrenstechnik verpflichtet sich der Herausforderung "Nachwachsende Rohstoffe"
Unsicherheit in Stromnetzen : Robuste Optimierung für eine robuste Stromversorgung
Global optimization of processes through machine learning
Electrified production of ammonia as chemical product and energy storage
Relaxations of thermodynamic property and costing models in process engineering
Accelerating nonlinear model predictive control through machine learning with application to automotive waste heat recovery
Abscheideverhalten von Aerosolen in einem Kondensator
Global Solution of Semi-infinite Programs with Existence Constraints