E-LIB Suche - Ergebnisse für: Galvanin, Federico

1

An optimal experimental design framework for fast kinetic m..:

Sangoi, Enrico ; Quaglio, Marco ; Bezzo, Fabrizio.
Computers & Chemical Engineering. 187 (2024) - p. 108752 , 2024

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

2

An optimization-free Fisher information driven approach for..:

Friso, Andrea ; Galvanin, Federico
Computers & Chemical Engineering. 187 (2024) - p. 108724 , 2024

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

3

Automated Continuous Crystallization Platform with Real-Tim..:

Pal, Sayan ; Pankajakshan, Arun ; Besenhard, Maximilian O....
Organic Process Research & Development. 28 (2024) 7 - p. 2755-2764 , 2024

Link: https://doi.org/10.1021/..

4

Automated kinetic model identification via cloud services u..:

Agunloye, Emmanuel ; Petsagkourakis, Panagiotis ; Yusuf, Muhammad...
Reaction Chemistry & Engineering. 9 (2024) 7 - p. 1859-1876 , 2024

Link: https://doi.org/10.1039/..

5

Machine learning and physics-driven modelling and simulatio..:

Basha, Nausheen ; Arcucci, Rossella ; Angeli, Panagiota...
International Journal of Multiphase Flow. 179 (2024) - p. 104936 , 2024

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

6

Mechanistic modelling of separating dispersions in pipes us..:

Evripidou, Nikola ; Galvanin, Federico ; Angeli, Panagiota
Chemical Engineering Science. 284 (2024) - p. 119504 , 2024

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

7

An exploratory model-based design of experiments approach t..:

Cenci, Francesca ; Pankajakshan, Arun ; Facco, Pierantonio.
Computers & Chemical Engineering. 177 (2023) - p. 108353 , 2023

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

8

Development of a predictive response surface model for size..:

Nathanael, Konstantia ; Galvanin, Federico ; Kovalchuk, Nina M..
Chemical Engineering Science. 279 (2023) - p. 118907 , 2023

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

9

An optimal experimental design strategy for improving param..:

Huang, Chunbing ; Cattani, Federica ; Galvanin, Federico
Computers & Chemical Engineering. 170 (2023) - p. 108133 , 2023

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

10

Autonomous kinetic model identification using optimal exper..:

Pankajakshan, Arun ; Bawa, Solomon Gajere ; Gavriilidis, Asterios.
Reaction Chemistry & Engineering. 8 (2023) 12 - p. 3000-3017 , 2023

Link: https://doi.org/10.1039/..

11

A stochastic modelling approach for the characterisation of..:

Huang, Chunbing ; Cattani, Federica ; Piccione, Patrick M..
Chemical Engineering Science. 248 (2022) - p. 117207 , 2022

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

12

A model-based experimental design approach to assess the id..:

Deussen, Philipp ; Galvanin, Federico
Chemical Engineering Research and Design. 178 (2022) - p. 609-622 , 2022

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

13

Rapid Screening of Kinetic Models for Methane Total Oxidati..:

Bawa, Solomon Gajere ; Pankajakshan, Arun ; Waldron, Conor...
Chemistry–Methods. 3 (2022) 1 - p. , 2022

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

14

Process-oriented approach towards catalyst design and optim..:

Abbasi, Mohammad Reza ; Galvanin, Federico ; Blacker, Andrew John...
Catalysis Communications. 163 (2022) - p. 106392 , 2022

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

15

Contributors:

, In: Simulation and Optimization in Process Engineering,

Ackermann, Heiner ; Akkermans, Simen ; Amaran, Satyajith... - p. xiii-xv , 2022

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