E-LIB Suche - Ergebnisse für: Esche, Erik

1

Sequential optimal experimental design for vapor-liquid equ..:

Bubel, Martin ; Schmid, Jochen ; Kozachynskyi, Volodymyr..
Chemical Engineering Science. 300 (2024) - p. 120566 , 2024

Link: https://doi.org/10.1016/..

2

Automatic initial value generation procedure for nonlinear ..:

Bublitz, Saskia ; Esche, Erik ; Repke, Jens-Uwe
Computers & Chemical Engineering. 185 (2024) - p. 108672 , 2024

Link: https://doi.org/10.1016/..

3

The optimal experiment? Influence of solution strategies on..:

Kozachynskyi, Volodymyr ; Illner, Markus ; Esche, Erik.
Computers & Chemical Engineering. 187 (2024) - p. 108746 , 2024

Link: https://doi.org/10.1016/..

4

Adaptation of Dynamic Data‐Driven Models for Real‐Time Appl..:

Rihm, Gerardo Brand ; Schueler, Merlin ; Nentwich, Corina..
Chemie Ingenieur Technik. 95 (2023) 7 - p. 1125-1133 , 2023

Link: https://doi.org/10.1002/..

5

Anlagen‐Engineering mit BIM:

Krämer, Markus ; de Lima Vasconcelos, Silvia ; Esche, Erik..
CITplus. 26 (2023) 5 - p. 19-20 , 2023

Link: https://doi.org/10.1002/..

6

Efficient dynamic sampling of batch processes through opera..:

Brand Rihm, Gerardo ; Esche, Erik ; Repke, Jens-Uwe
Computers & Chemical Engineering. 179 (2023) - p. 108433 , 2023

Link: https://doi.org/10.1016/..

7

Autothermal Oxidative Coupling of Methane: Steady‐State Mul..:

Perez Ortiz, Abigail ; Penteado, Alberto ; Karsten, Tim...
Chemie Ingenieur Technik. 94 (2022) 5 - p. 791-795 , 2022

Link: https://doi.org/10.1002/..

8

Semi-supervised learning for data-driven soft-sensing of bi..:

Esche, Erik ; Talis, Torben ; Weigert, Joris...
Chemical Engineering Science. 251 (2022) - p. 117459 , 2022

Link: https://doi.org/10.1016/..

9

Architectures for neural networks as surrogates for dynamic..:

Esche, Erik ; Weigert, Joris ; Brand Rihm, Gerardo..
Chemical Engineering Research and Design. 177 (2022) - p. 184-199 , 2022

Link: https://doi.org/10.1016/..

10

Enabling optimization of complex distillation configuration..:

Krone, David ; Esche, Erik ; Asprion, Norbert..
Computers & Chemical Engineering. 157 (2022) - p. 107626 , 2022

Link: https://doi.org/10.1016/..

11

Fast-track realization of reactive microemulsion systems – ..:

Illner, Markus ; Kozachynskyi, Volodymyr ; Esche, Erik.
Chemical Engineering Science. 252 (2022) - p. 117290 , 2022

Link: https://doi.org/10.1016/..

12

Sampling Space Reduction for Data-driven Modelling of Batch..:

, In: 31st European Symposium on Computer Aided Process Engineering; Computer Aided Chemical Engineering,

Brand-Rihm, Gerardo ; Esche, Erik ; Repke, Jens-Uwe - p. 611-616 , 2021

Link: https://doi.org/10.1016/..

13

Economic Potential of Bio-Ethylene Production via Oxidative..:

Teixeira Penteado, Alberto ; Lovato, Giovanna ; Pérez Ortiz, Abigail...
Processes. 9 (2021) 9 - p. 1613 , 2021

Link: https://doi.org/10.3390/..

14

Machine Learning in Chemical Engineering: A Perspective:

Schweidtmann, Artur M. ; Esche, Erik ; Fischer, Asja...
Chemie Ingenieur Technik. 93 (2021) 12 - p. 2029-2039 , 2021

Link: https://doi.org/10.1002/..

15

Adaptive Sampling of Dynamic Systems for Generation of Fast..:

Talis, Torben ; Weigert, Joris ; Esche, Erik.
Chemie Ingenieur Technik. 93 (2021) 12 - p. 2097-2104 , 2021

Link: https://doi.org/10.1002/..