Suchergebnisse

Fechtner, M.; Kienle, A.: Approximate shock layer solutions for the separation of multicomponent mixtures with different axial dispersion or mass transfer coefficients. Chemical Engineering Science 231, 116335 (2021)

Chernev, V.; Vande Wouwer, A.; Kienle, A.: Efficient Simulation of Chromatographic Processes Using the Conservation Element/Solution Element Method. Processes 8, 1316 (2020)

Duvigneau, S.; Dürr, R.; Laske, T.; Bachmann, M.; Dostert, M.; Kienle, A.: Model-based approach for predicting the impact of genetic modifications on product yield in biopharmaceutical manufacturing—Application to influenza vaccine production. PLoS Computational Biology 16 (6), e1007810 (2020)

Lee, J. W.; Kienle, A.; Seidel-Morgenstern, A.: On-line optimization of four-zone simulated moving bed chromatography using an Equilibrium-Dispersion Model: II. Experimental validation. Chemical Engineering Science 226, 115808 (2020)

Lee, J. W.; Kienle, A.; Seidel-Morgenstern, A.: On-line Optimization of Four-Zone Simulated Moving Bed Chromatography using an Equilibrium-Dispersion Model: I. Simulation Study. Chemical Engineering Science 225, 115810 (2020)

Neugebauer, C.; Bück, A.; Kienle, A.: Control of Particle Size and Porosity in Continuous Fluidized-Bed Layering Granulation Processes. Chemical Engineering and Technology 43 (5), S. 813 - 818 (2020)

Seidel, C.; Jörke, A.; Vollbrecht, B.; Seidel-Morgenstern, A.; Kienle, A.: Corrigendum to "Kinetic modeling of methanol synthesis from renewable resources" (Chem. Eng. Sci. 175 (2018) 130-138). Chemical Engineering Science 223, 115724 (2020)

Verma, P.; Eaton, M.; Kienle, A.; Flockerzi, D.; Yang , Y.; Doraiswami, R.: Examining Sodium and Potassium Channel Conductances Involved in Hyperexcitability of Chemotherapy-Induced Peripheral Neuropathy: A Mathematical and Cell Culture-Based Study. Frontiers in Computational Neuroscience 14, 564980 (2020)

Verma, P.; Kienle, A.; Flockerzi, D.; Ramkrishna, D.: Computational analysis of a 9D model for a small DRG neuron. Journal of Computational Neuroscience 48, S. 429 - 444 (2020)

Verma, P.; Kienle, A.; Flockerzi, D.; Ramkrishna, D.: Using Bifurcation Theory for Exploring Pain. Industrial and Engineering Chemistry Research 59 (6), S. 2524 - 2535 (2020)

Fechtner, M.; Kienle, A.: Equilibrium theory of ion exchange chromatography with variable solution normality and steric hindrance. Chemical Engineering Science 199, S. 508 - 527 (2019)

Keßler, T.; Kunde, C.; McBride, K.; Mertens, N.; Michaels, D.; Sundmacher, K.; Kienle, A.: Global optimization of distillation columns using explicit and implicit surrogate models. Chemical Engineering Science 197, S. 235 - 245 (2019)

Keßler, T.; Kunde, C.; Linke, S.; McBride, K.; Sundmacher, K.; Kienle, A.: Systematic Selection of Green Solvents and Process Optimization for the Hydroformylation of Long-Chain Olefines. Processes 7 (12), 882 (2019)

Keßler, T.; Kunde, C.; Mertens, N.; Michaels, D.; Kienle, A.: Global optimization of distillation columns using surrogate models. SN Applied Sciences 1 (1), 11 (2019)

Kunde, C.; Keßler, T.; Linke, S.; McBride, K.; Sundmacher, K.; Kienle, A.: Surrogate Modeling for Liquid–Liquid Equilibria Using a Parameterization of the Binodal Curve. Processes (7), 753 (2019)

Neugebauer, C.; Diez, E.; Bück, A.; Palis, S.; Heinrich, S.; Kienle, A.: On the dynamics and control of continuous fluidized bed layering granulation with screen-mill-cycle. Powder Technology 354, S. 765 - 778 (2019)

Suvarov, P.; Lee, J. W.; Vande Wouwer, A.; Seidel-Morgenstern, A.; Kienle, A.: Online estimation of optimal operating conditions for simulated moving bed chromatographic processes. Journal of Chromatography A 1602, S. 266 - 272 (2019)

Fechtner, M.; Kienle, A.: Efficient simulation and equilibrium theory for adsorption processes with implicit adsorption isotherms – Ideal adsorbed solution theory. Chemical Engineering Science 177, S. 284 - 292 (2018)

Golovin, I.; Strenzke, G.; Dürr, R.; Palis, S.; Bück, A.; Kienle, A.; Tsotsas, E.: Parameter Identification for Continuous Fluidized Bed Spray Agglomeration. Processes 6 (12), 246 (2018)

Kunde, C.; Kienle, A.: Global optimization of multistage binary separation networks. Chemical Engineering and Processing: Process Intensification 131, S. 164 - 177 (2018)