Publications of Kai Sundmacher

Wang, Z.; Zhou, T.; Sundmacher, K.: A Novel Machine Learning-Based Optimization Approach for the Molecular Design of Solvents. ESCAPE-32, Toulouse, France (2022)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Optimal Catalyst-Reactor Design for Load-Flexible CO2 Methanation by Multi-Period Design Optimization. 14th International Symposium on Process Systems Engineering (PSE2021+), Kyoto, Japan (2022)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Prototyping 'Egg-Yolk' and 'Egg-White' Catalyst Pellets for Exothermic Reactions. 2022 AIChE Annual Meeting, Phoenix, USA (2022)

Zimmermann, R. T.; Weber, S.; Bremer, J.; Idakiev, V.; Sheppard, T.; Mörl, L.; Sundmacher, K.: Prototyping Core-Shell Catalyst Particles for Exothermic Reactions. Annual Meeting on Reaction Engineering 2022, Würzburg, Germany (2022)

Abel, K. L.; Zimmermann, R. T.; Titus, J.; Sundmacher, K.; Gläser, R.: Influence of Preparation Method on Structure, Reducibility and Activity of Ni-based CO2 Methanation Catalysts. 18th International Conference on Carbon Dioxide Utilization (ICCDU 2021), Virtual (2021)

Bremer, J.; Heiland, J.; Benner, P.; Sundmacher, K.: Nonintrusive Time Galerkin POD for Optimal Control of a Fixed-Bed Reactor for CO2 Methanation. ADCHEM 2021, Virtual (2021)

Bremer, J.; Sundmacher, K.: Novel Multiplicity and Stability Criteria for Polytropic Fixed-Bed Reactors. ISCRE-26 & APCRE 9, Virtual (2021)

Bremer, J.; Zimmermann, R. T.; Sundmacher, K.: New Insights on Fixed-Bed Reactor Dynamics via Real-Time Distributed Temperature Sensing. Annual Meeting on Reaction Engineering (Jahrestreffen Reaktionstechnik), Virtual (2021)

Jokiel, M.; Sundmacher, K.: Helically Coiled Tubular Reactor for the Hydroformylation of 1-Dodecene: Operation, Characterization and Limitations. ECCE 13 & ECAB 6: 13th European Congress of Chemical Engineering and 6th European Congress of Applied Biotechnology, Berlin, Virtual (2021)

König-Mattern, L.; Linke, S.; Rihko-Struckmann, L.; Sundmacher, K.: Computational Solvent Screening for Efficient Microalgal-based Biorefineries exemplified by Phaeodactylum tricornutum. International Conference on Algal Biomass, Biofuels and Bioproducts (AlgalBBB 2021), Virtual (2021)

König-Mattern, L.; Linke, S.; Rihko-Struckmann, L.; Sundmacher, K.: Computational Solvent Screening for the Fractionation of Wet Microalgal Biomass Exemplified by Phaeodactylum tricornutum. ECCE 13 & ECAB 6: 13th European Congress of Chemical Engineering and 6th European Congress of Applied Biotechnology, Berlin, Virtual (2021)

Otrin, L.; Diehl, C.; Erb, T.; Sundmacher, K.; Vidaković-Koch, T.: Artificial Mitochondrion, Bottom-up! SYNCELL 2021: International Conference on Engineering Synthetic Cells and Organelles, Virtual (2021)

Sanchez Medina, E. I.; Rodriguez-Vallejo, D. F.; del Rio-Chanona, E. A.; Sundmacher, K.; Petsagkourakis, P.: Multi-Objective Bayesian optimization of process flowsheets using trust regions and quality set metrics. 2021 AIChE Annual Meeting, Virtual (2021)

Shi, H.; Zhou, T.; Sundmacher, K.: Computer-Aided Molecular Design of Ionic Liquid Phase Change Material (IL-PCM) for Efficient Thermal Energy Storage. 31st European Symposium on Computer-Aided Process Engineering (ESCAPE-31) , Istanbul, Turkey (2021)

Song, Z.; Zhou, T.; Qi, Z.; Sundmacher, K.: Computer-aided design of deep eutectic solvent systems for the associative extraction of a-tocopherol from deodorizer distillate. 31st European Symposium on Computer-Aided Process Engineering (ESCAPE-31), Istanbul, Turkey (2021)

Sundmacher, K.: Engineering Functional Modules for Life-like Systems: Energy Supply, Metabolism, and Growth. Matter to Life Lecture Series, Virtual (2021)

Zhang, X.; Zhou, T.; Sundmacher, K.: Integrated Material and Process Design for Gas Separation: Hybrid Modeling for MOF Descriptor Targeting. ECCE 13 & ECAB 6: 13th European Congress of Chemical Engineering and 6th European Congress of Applied Biotechnology, Berlin, Virtual (2021)

Linke, S.; Jokiel, M.; McBride, K.; Sundmacher, K.: Green solvents for the hydroformylation of long chain alkenes. 2020 Virtual AIChE Annual Meeting, virtual (2020)

Maggi, A.; Wenzel, M.; Sundmacher, K.: Power-to-Syngas Processes by Reactor-Separator Optimization. ESCAPE 30, 30th European Symposium on Computer Aided Process Engineering, virtual (2020)

Matschek, J.; Himmel, A.; Sundmacher, K.; Findeisen, R.: Constrained Gaussian Process Learning for Model Predictive Control. IFAC World Congress - 21st WC 2020, virtual (2020)