Machine Learning in Chemical Engineering: A Perspective von Schweidtmann, Artur M., Esche, Erik, Fischer, Asja, Kloft, Marius, Repke, Jens‐Uwe, Sager, Sebastian, Mitsos, Alexander

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Generation of linear-based surrogate models from non-linear functional relationships for use in scheduling formulation von Obermeier, Andreas, Vollmer, Nikolaus, Windmeier, Christoph, Esche, Erik, Repke, Jens-Uwe

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Design and Assessment of a Membrane and Absorption Based Carbon Dioxide Removal Process for Oxidative Coupling of Methane von Penteado, Alberto, Esche, Erik, Salerno, Daniel, Godini, Hamid Reza, Wozny, Günter

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Development of a State Estimation Environment for the Optimal Control of a Mini-plant for the Hydroformylation in Microemulsions von Joris Weigert, Markus Illner, Erik Esche, Jens-Uwe Repke

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Model Adaptation and Optimization for the Evaluation and Investigation of Novel Amine Blends in a Pilot-plant Scale CO2 Capture Process under Industrial Conditions von Robert Wilhelm, Erik Esche, Zion Guetta, Johannes Menzel, Holger Thielert, Jens-Uwe Repke

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Sequential optimal experimental design for vapor-liquid equilibrium modeling von Bubel, Martin, Schmid, Jochen, Kozachynskyi, Volodymyr, Esche, Erik, Bortz, Michael

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Optimization-based process synthesis by phenomena-based building blocks and an MINLP framework featuring structural screening von Krone, David, Esche, Erik, Skiborowski, Mirko, Repke, Jens-Uwe

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The optimal experiment? Influence of solution strategies on model-based optimal experimental design von Kozachynskyi, Volodymyr, Illner, Markus, Esche, Erik, Repke, Jens-Uwe

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Towards demand-side management of the chlor-alkali electrolysis: Dynamic, pressure-driven modeling and model validation of the 1,2-dichloroethane synthesis von Hoffmann, Christian, Weigert, Joris, Esche, Erik, Repke, Jens-Uwe

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Automatic initial value generation with interval arithmetic for nonlinear process models von Bublitz, Saskia, Esche, Erik, Repke, Jens-Uwe

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Automatic initial value generation procedure for nonlinear process models by interval arithmetic based cutting and splitting von Bublitz, Saskia, Esche, Erik, Repke, Jens-Uwe

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Towards demand-side management of the chlor-alkali electrolysis: Dynamic modeling and model validation von Weigert, Joris, Hoffmann, Christian, Esche, Erik, Fischer, Peter, Repke, Jens-Uwe

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Fast-track realization of reactive microemulsion systems – Systematic system analysis and tailored application of PSE methods von Illner, Markus, Kozachynskyi, Volodymyr, Esche, Erik, Repke, Jens-Uwe

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A discrete-time scheduling model for power-intensive processes taking fatigue of equipment into consideration von Obermeier, Andreas, Windmeier, Christoph, Esche, Erik, Repke, Jens-Uwe

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Enabling optimization of complex distillation configurations in GAMS with CAPE-OPEN thermodynamic models von Krone, David, Esche, Erik, Asprion, Norbert, Skiborowski, Mirko, Repke, Jens-Uwe

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Architectures for neural networks as surrogates for dynamic systems in chemical engineering von Esche, Erik, Weigert, Joris, Brand Rihm, Gerardo, Göbel, Jan, Repke, Jens-Uwe

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Efficient dynamic sampling of batch processes through operation recipes von Brand Rihm, Gerardo, Esche, Erik, Repke, Jens-Uwe

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A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation von Hoffmann, Christian, Weigert, Joris, Esche, Erik, Repke, Jens-Uwe

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Embedding of temperature-dependent plant model into time-discrete scheduling formulation von Obermeier, Andreas, Windmeier, Christoph, Esche, Erik, Repke, Jens-Uwe

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Semi-supervised learning for data-driven soft-sensing of biological and chemical processes von Esche, Erik, Talis, Torben, Weigert, Joris, Brand Rihm, Gerardo, You, Byungjun, Hoffmann, Christian, Repke, Jens-Uwe

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