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)

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)

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)

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)

Liesche, G.; Schack, D.; Sundmacher, K.: Integrated Process Synthesis and Heat Integration Exemplified for Production of Hydrogen Cyanide. YCOPE 2019, Magdeburg, Germany (2019)

Liesche, G.; Schack, D.; Sundmacher, K.: Process Intensification by Network Flow Optimization in the Thermodynamic State Space. Process Intensification Colloquium Dortmund, Dortmund, Germany (2019)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Schulze, M.; Schenkendorf, R.: Robust Design of Experiments for Model Selection Using Inverse Modeling. 5th European Congress of Applied Biotechnology, Florence, Italy (2019)

Triemer, S.; Gilmore, K.; Seidel-Morgenstern, A.: Application of Green Catalysts for the Partial Synthesis of the Antimalarial Artemisinin. EuropaCat 2019, Aachen, Germany (2019)

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)

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)

Uebbing, J.; Sager, S.; Sundmacher, K.: Rigorous MINLP Optimization of Power-to-Methane Processes. SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA (2019)

Altaf, H.; Vorhauer, N.; Vidaković-Koch, T.; Tsotsas, E.: Micro-CT imaging of electrolyser gas diffusion layers to extract pore space information for pore network modeling. Symposium on Insights into Gas Diffusion Electrodes: From Fundamentals to Industrial Applications, Magdeburg (accepted)

Andonov, P.; Savchenko, A.; Findeisen, R.: Qualitative verification of system properties for nonlinear systems. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)

Bechtel, S.; Vidaković-Koch, T.; Weber, A.; Sundmacher, K.: Multiscale analysis of the limiting mechanisms in the gas phase oxidation of hydrogen chloride employing an oxygen depolarized cathode. Symposium on Insights into Gas Diffusion Electrodes: From Fundamentals to Industrial Applications, Magdeburg (accepted)

Benner, P.; Fritze, R.; Mlinarić, P.; Rave, S.; Schindler, F.: Systems-theoretic Model Order Reduction with pyMOR. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)

Bhandari, S.; Cascella, F.; Lorenz, H.; Seidel-Morgenstern, A.: Preferential Enantioselective Crystallization: experiments and modelling. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)

Bremer, J.; Sundmacher, K.: Flexible Production of Synthetic Methane: Dynamic Operation and Control of Fixed-Bed Methanation Reactors. YCOPE 2019, Magdeburg, Germany (2019)

Cascella, F.; Lorenz, H.; Seidel-Morgenstern, A.: Studies on batch preferential crystallization of an API. Jahrestreffen der ProcessNet-Fachgruppen Zerkleinern und Klassieren, Kristallisation und Grenzflächenbestimmte Systeme und Prozesse, Bamberg, Germany (2019)

Chi, C.; Abdelsamie, A.; Thévenin, D.: Towards Direct Numerical Simulations of a gas engine pre-chamber. 9th European Combustion Meeting, Lisbon, Portugal (2019)

Chi, C.; Abdelsamie, A.; Thévenin, D.: Direct Numerical Simulations of Transient Ignition by a Hot Jet. International workshop on clean combustion: Principles and Applications, Darmstadt, Germany (2019)

Emenike, V. N.; Xie, X.; Schenkendorf, R.; Krewer, U.: A point estimate method-based back-off approach to robust optimization: application to pharmaceutical processes. 29th European Symposium on Computer Aided Process Engineering - ESCAPE-29, Eindhoven, The Netherlands (2019)

Hayat, A.; An, X.; Qamar, S.; Warnecke, G.; Seidel-Morgenstern, A.: Investigation of thermal gradients in liquid chromatography. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)

Himmel, A.; Sundmacher, K.: Strategie zur Betriebsführung von Power-to-X Prozessen und der Anwendung zur optimalen Auslegung von Speicherelementen. ProcessNet Energieverfahrenstechnik 2019, Frankfurt am Main, Germany (2019)

Himmel, A.; Sundmacher, K.: Conceptual Framework for Integrated Control and Design of Coupled Processes. AIChE Annual Meeting, Orlando, USA (2019)

Rodrigues Correia Ramos, J.; Bissinger, T.; Genzel, Y.; Reichl, U.: A Dynamic Model for Cell Growth, Metabolism & Virus Production of MDCK Suspension Cells. YCOPE 2019, Magdeburg, Germany (2019)

Rudolph, N.; Andonov, P.; Huber, H. J.; Findeisen, R.: Model-supported Patient Stratification Using Set-based Estimation Methods. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)

Schulze, E.; Stein, M.: Ensemble-based docking and uncertainties from MD refinement of weak binders: The case of bile acids and the Norovirus receptor domain. EUROPIN Summer School of Drug Design - Vienna, Vienna, Austria (2019)

Schulze, E.; Stein, M.: Ensemble-based docking and uncertainties from MD refinement of weak binders: The case of bile acids and the Norovirus receptor domain. Computational Advances in Drug Discovery, Sestri Levante, Italy (2019)

Schulze, E.; Stein, M.: Computer-Aided Surface Design: Optimizing Monolayer Composition for Physiological Membrane Tethering. TSCM - Towards Simulationg Sell Membranes, Heidelberg, Germany (2019)

Schulze, M.; Triemer, S.; Schenkendorf, R.; Seidel-Morgenstern, A.; Krewer, U.: Parameter identifiability of artemisinin synthesis using design of experiments. Symposium on Pharmaceutical Engineering Research SPhERe, Braunschweig, Germany (2019)

Triemer, S.; Gilmore, K.; Seidel-Morgenstern, A.: Coupled extraction and partial synthesis for the production of an antimalarial: Solvent and acid dependences. Jahrestreffen Reaktionstechnik 2019, Würzburg, Germany (2019)

Triemer, S.; Gilmore, K.; Seidel-Morgenstern, A.: Solid Acid Catalysis for API Production in Flow: A Case Study on Artemisinin. FROST 7 – 7th Conference on Frontiers in Organic Synthesis Technology, Budapest, Hungary (2019)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Optimal "Egg-Yolk" Catalyst Particle Design for Thermal Sensitivity Reduction of Industrial Scale Fixed-Bed CO₂ Methanation Reactors. Jahrestreffen Reaktionstechnik 2019 DECHEMA, Würzburg, Germany (2019)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: "Egg-Yolk" Catalyst Particle Design for Improved Flexibility of Industrial Scale Fixed-Bed Reactor used for CO₂ Methanation. 12th European Congress of Chemical Engineering – ECCE 12, Florence, Italy (2019)

Emenike, V. N.: Model-based design of optimal reactors for (bio)pharmaceutical manufacturing. Dissertation, 194 pp., Cuvillier Verlag, Göttingen (2019)

Quattrone, F.; Hansen, C.; Hoehn, O.; Koeneke, J.; Morabito, B.; Findeisen, R.: Model-based parameter estimation for directional drilling in wellbore operations. US 2019/0292898 A1 (2019)