Talk (476)

2021
Talk
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)
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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)
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Martensen, C. J.; Rackauckas, C.: Neural Network Surrogates and Symbolic Regression for System Estimation. SIAM Conference on Applications of Dynamical Systems (DS21), Virtual (2021)
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Miličić, T.; Altaf, H.; Zivkovic, L.; Vorhauer-Huget, N.; Tsotsas, E.; Vidaković-Koch, T.: Model-Based Analysis of Anode Mass Transport Losses in Proton Exchange Membrane Water Electrolyzer. EFCF 2021: Low-Temperature Fuel Cells, Electrolysers & H2 Processing, Lucern, Switzerland (2021)
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Miličić, T.; Zivkovic, L.; Vidaković-Koch, T.: Development of Macroscopic Dynamical Model of Proton Exchange Membrane Water Electrolyzer. 72nd Annual Meeting of the International Society of Electrochemistry, Jeju, South Korea (2021)
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Morabito, B.; Pohlodek, J.; Matschek, J.; Savchenko, A.; Carius, L.; Findeisen, R.: Towards Risk-aware Machine Learning Supported Model Predictive Control and Open-loop Optimization for Repetitive Processes. 7th IFAC Conference on Nonlinear Model Predictive Control - NMPC 2021, Bratislava, Slovakia (2021)
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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)
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Triemer, S.; Schulze, M.; Schenkendorf, R.; Krewer, U.; Seidel-Morgenstern, A.: Kinetic model for the photocatalyzed oxidation step in the partial synthesis of an antimalarial. Annual Meeting on Reaction Engineering 2021 (Jahrestreffen Reaktionstechnik) , virtual (2021)
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Triemer, S.; Seidel-Morgenstern, A.: Integration of a Green and Efficient Synthesis Step Enables Enhanced Production of the Antimalarial Precursor Artemisinin from Plant-Based Extraction. 2021 AIChE Annual Meeting In-Person Boston, USA (Nov 7-11) and Virtual (Nov 15-19), Virtually (2021)
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Wünsche, S.; Triemer, S.; Vu, T. G.; Seidel-Morgenstern, A.; Lorenz, H.: Chromatographic Purification of Artemisinin from the Crude Plant Extract. SoCSS 2021 – 16th International PhD Seminar on Chromatographic Separation Science, Vienna, Austria (2021)
2020
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Andonov, P.; Savchenko, A.; Rumschinski, P.; Trenner, T.; Neidig, J.; Findeisen, R.: Monitoring and verification of event-driven transportation systems in discrete manufacturing. 2020 IEEE Conference on Control Technology and Applications, Montréal, Canada (online) (2020)
Talk
Bhandari, S.; Carneiro, T.; Lorenz, H.; Seidel-Morgenstern, A.: Modeling, Simulation and design strategies to efficiently apply preferental crystallization in a continous process. 2020 Virtual AIChE Annual Meeting, virtually (2020)
Talk
Cascella, F.; Lorenz, H.; Seidel-Morgenstern, A.: Design and Operation of Batch Crystallization Processes for Enantioseparation. Jour Fixe Kristallisation, virtuell (2020)
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Duvigneau, S.; Dürr, R.; Carius, L.; Kienle, A.: Hybrid Cybernetic Modeling of Polyhydroxyalkanoate Production in Cupriavidus necator using Fructose and Acetate as Substrates. 21th IFAC World Congress, virtual (2020)
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Kallies, C.; Ibrahim, M.; Findeisen, R.: Approximated Constrained Optimal Control subject to Variable Parameters. 21st IFAC World Congress (Virtual), Berlin, Germany (2020)
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Kallies, C.; Ibrahim, M.; Findeisen, R.: An Approximated Constrained Optimal Output Feedback Fallback Control under Variable Parameters. 14th International Conference on Automatic Control and Soft Computing - CONTROLO 2020 , Bragança, Portugal (2020)
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Linke, S.; Jokiel, M.; McBride, K.; Sundmacher, K.: Green solvents for the hydroformylation of long chain alkenes. 2020 Virtual AIChE Annual Meeting, virtual (2020)
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Matschek, J.; Himmel, A.; Sundmacher, K.; Findeisen, R.: Constrained Gaussian Process Learning for Model Predictive Control. IFAC World Congress - 21st WC 2020, virtual (2020)
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Morabito, B.; Kögel, M.; Blasi, S.; Klemme, V.; Hansen, C.; Höhn, O.; Findeisen., R.: Multi-stage Event-triggered Model Predictive Control for Automated Trajectory Drilling. 21st IFAC World Congress, Berlin, Germany (2020)
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Rodrigues Correia Ramos, J.: A dynamic model for cell growth, metabolism and virus production of MDCK suspension cells. Society of Mathematical Biology Annual Meeting, Virtual Meeting (2020)
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Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Optimal Catalyst-Reactor Design for Flexible CO2 Methanation. 10. ProcessNet-Jahrestagung und 34. DECHEMA-Jahrestagung der Biotechnologen 2020: Processes for Future, virtual (2020)
2019
Talk
Andonov, P.; Savchenko, A.; Findeisen, R.: Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. 2019 American Control Conference (ACC), Philadelphia, PA, USA (2019)
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Bechtel, S.; Vidaković-Koch, T.; Sundmacher, K.: Electrochemical Gas Phase Oxidation of Hydrogen Chloride to Chlorine: Model-based Analysis of Transport and Reaction Mechanisms. 70th Annual Meeting of the International Society of Electrochemistry, Durban, South Africa (2019)
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Benner, P.; Grundel, S.; Mlinarić, P.: Clustering-Based Model Order Reduction for Nonlinear Network Systems. 4th Workshop on Model Reduction of Complex Dynamical Systems (MODRED 2019), Graz, Austria (2019)
Talk
Bhandari, S.; Carneiro, T.; Temmel, E.; Lorenz, H.; Seidel-Morgenstern, A.: Modeling Batch Preferential Crystallization for Conglomerates Forming Systems using Shortcut Models. ECCE12 – 12th European Congress of Chemical Engineering, Florence, Italy (2019)
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Bremer, J.; Zimmermann, R. T.; Sundmacher, K.: Enhanced Fixed-Bed Reactor Flexibility through Optimal Control and Design for CO2 Methanation. 12th European Congress of Chemical Engineering – ECCE 12, Florence, Italy (2019)
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Chi, C.; Abdelsamie, A.; Thévenin, D.: A directional ghost-cell immersed boundary method for low-Mach reacting flows in complex geometries. 17th International Conference on Numerical Combustion, Aachen, Germany (2019)
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Hayat, A.; An, X.; Qamar, S.; Warnecke, G.; Seidel-Morgenstern, A.: Theoretical analysis of forced segmented temperature gradients in liquid chromatography. Hirschegg Workshop on Conservation Laws, Hirschegg, Austria (2019)
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Kallies, C.; Findeisen, R.: Explicit Optimal Control Laws for Systems with multiplicative Uncertainties. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)
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Kunde, C.; Keßler, T.; Linke, S.; McBride, K.; Sundmacher, K.; Kienle, A.: Global optimization of catalyst recovery in a thermomorphic multiphase system using surrogate models. 12th European Congress of Chemical Engineering – ECCE 12, Florence, Italy (2019)
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Kweyu, C. M.; Feng, L.; Stein, M.; Benner, P.: Fast solution of the Poisson-Boltzmann equation by the reduced basis method and range-separated canonical tensor format. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)
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Liesche, G.; Schack, D.; Sundmacher, K.: Integriertes Prozessdesign und Wärmeintegration gezeigt am Beispiel der Synthese von Blausäure. ProcessNet Energieverfahrenstechnik 2019, Frankfurt am Main, Germany (2019)
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Liesche, G.; Schack, D.; Sundmacher, K.: Integrated Process Synthesis and Heat Integration Exemplified for Production of Hydrogen Cyanide. YCOPE 2019, Magdeburg, Germany (2019)
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Liesche, G.; Schack, D.; Sundmacher, K.: Process Intensification by Network Flow Optimization in the Thermodynamic State Space. Process Intensification Colloquium Dortmund, Dortmund, Germany (2019)
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Liesche, G.; Schack, D.; Sundmacher, K.: The FluxMax Approach: Integrated Process Synthesis and Heat Integration Exemplified for the Production of Hydrogen Cyanide. AIChE Annual Meeting, Orlando, USA (2019)
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Linke, S.; McBride, K.; Rätze, K.; Sundmacher, K.: Green Solvent Selection and Early Stage Process Design for the Homogeneously Catalyzed Reductive Amination of Long-chain Aldehydes. 12th European Congress of Chemical Engineering – ECCE 12, Florence, Italy (2019)
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Linke, S.; McBride, K.; Sundmacher, K.: Green solvent selection for the homogeneously catalyzed hydroformylation of long-chain olefins in a thermomorphic solvent system. YCOPE 2019, Magdeburg, Germany (2019)
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Mlinarić, P.; Grundel, S.; Benner, P.: H2-optimal model order reduction of interconnected systems. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Vienna, Austria (2019)
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Morabito, B.; Kienle, A.; Carius, L.; Findeisen, R.: Multi-Mode Model Predictive Control and Estimation for Uncertain Biotechnological Processes. Dynamics and Control of Process Systems, including Biosystems - 12th DYCOPS 2019, Florianópolis, BRAZIL (2019)
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Rätze, K.; Jokiel, M.; McBride, K.; Sundmacher, K.: Alternative Process Configuration and Solvent Selection for Enhanced Performance of the Hydroformylation of 1-Dodecene. YCOPE 2019, Magdeburg, Germany (2019)
Talk
Rätze, K.; McBride, K.; Sundmacher, K.: A Bayesian approach for continuous improvement of kinetic parameter estimates. 12th European Congress of Chemical Engineering – ECCE 12, Florence, Italy (2019)
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Rätze, K.; Sundmacher, K.: Analysis of a cyclically operated semi-batch reactor for the hydroformylation of long-chain olefins in a continuous production process under uncertain feed composition. Jahrestreffen Reaktionstechnik 2019 DECHEMA, Würzburg, Germany (2019)
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Rihko-Struckmann, L.; Sahni, A.; McBride, K.; Linke, S.; Sundmacher, K.: Algal remnant transformation to 5-HMF under biphasic conditions using a computationally predicted solvent selection approach. International Symposium on Green Chemistry 2019, La Rochelle , France (2019)
Talk
Schack, D.; Liesche, G.; Sundmacher, K.: Optimaler Prozessentwurf für eine nachhaltige Methanolproduktion unter Einsatz von CO2 und erneuerbaren Energien. ProcessNet Energieverfahrenstechnik 2019, Frankfurt am Main, Germany (2019)
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Schack, D.; Liesche, G.; Sundmacher, K.: Optimal Process Design for a Sustainable Methanol Production Using Renewable Energies by Applying the FluxMax Approach. Optimal Process Design for a Sustainable Methanol Production Using Renewable Energies by Applying the FluxMax Approach , Orlando, USA (2019)
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Schulze, M.; Schenkendorf, R.: Novel aspects of differential flatness in computer aided process engineering: A biopharmaceutical manufacturing perspective. CAPE Forum 2019 - Computer Aided Process Engineering Forum, Liège, Belgium (2019)
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Schulze, M.; Schenkendorf, R.: Robust Design of Experiments for Model Selection Using Inverse Modeling. 5th European Congress of Applied Biotechnology, Florence, Italy (2019)
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Triemer, S.; Gilmore, K.; Seidel-Morgenstern, A.: Application of Green Catalysts for the Partial Synthesis of the Antimalarial Artemisinin. EuropaCat 2019, Aachen, Germany (2019)
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Triemer, S.; Gilmore, K.; Seidel-Morgenstern, A.: Efficient Coupling of Extraction and Partial Synthesis for the Production of the Antimalarial Artemisinin. SPhERe – 3rd Braunschweig International Symposium on Pharmaceutical Engineering Resaerch, Braunschweig, Germany (2019)
Talk
Triemer, S.; Gilmore, K.; Vu, T. G.; Seidel-Morgenstern, A.: Coupling of extraction and partial synthesis for efficient production of the antimalarial artemisinin. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)
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