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Norbert Asprion
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2020 – today
- 2022
- [j6]David Krone
, Erik Esche, Norbert Asprion
, Mirko Skiborowski, Jens-Uwe Repke:
Enabling optimization of complex distillation configurations in GAMS with CAPE-OPEN thermodynamic models. Comput. Chem. Eng. 157: 107626 (2022) - 2021
- [j5]Charlie Vanaret, Philipp Seufert, Jan Schwientek, Gleb Karpov, Gleb V. Ryzhakov, Ivan V. Oseledets, Norbert Asprion
, Michael Bortz:
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? Comput. Chem. Eng. 146: 107218 (2021)
2010 – 2019
- 2019
- [j4]Raoul Heese
, Michal Walczak
, Tobias Seidel, Norbert Asprion
, Michael Bortz
:
Optimized data exploration applied to the simulation of a chemical process. Comput. Chem. Eng. 124: 326-342 (2019) - [j3]Ian T. Cameron, Sebastian Engell, Christos Georgakis, Norbert Asprion
, Dominique Bonvin
, Furong Gao, Dimitrios I. Gerogiorgis
, Ignacio E. Grossmann, Sandro Macchietto
, Heinz A. Preisig, Brent R. Young:
Education in Process Systems Engineering: Why it matters more than ever and how it can be structured. Comput. Chem. Eng. 126: 102-112 (2019) - [c1]Jan Schwientek, Charlie Vanaret, Johannes Höller, Patrick Schwartz, Philipp Seufert, Norbert Asprion, Roger Böttcher, Michael Bortz:
A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering. OR 2019: 513-519 - [i1]Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz:
Optimized data exploration applied to the simulation of a chemical process. CoRR abs/1902.06453 (2019) - 2018
- [j2]Alexander Mitsos
, Norbert Asprion
, Christodoulos A. Floudas, Michael Bortz
, Michael Baldea, Dominique Bonvin
, Adrian Caspari
, Pascal Schäfer
:
Challenges in process optimization for new feedstocks and energy sources. Comput. Chem. Eng. 113: 209-221 (2018) - 2014
- [j1]Michael Bortz
, Jakob Burger, Norbert Asprion
, Sergej Blagov, Roger Böttcher, U. Nowak, A. Scheithauer, Richard Welke, Karl-Heinz Küfer, Hans Hasse
:
Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets. Comput. Chem. Eng. 60: 354-363 (2014)
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