Publications of Kai Sundmacher

Sundmacher, K., Nowitzki, O., & Hoffmann, U. (1996)Dynamic simulation and analysis of reaction and transport processes during oxygen reduction at gas-diffusion-electrodesContemporary trends in electrochemical engineering172–179.

Hegde, C., Voigt, A., & Sundmacher, K. (2024)Towards pH Swing-based CO2 Mineralization by Calcium Carbonate Precipitation: Modeling and Experimental AnalysisIn: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 1519–1524doi: 10.1016/B978-0-443-28824-1.50254-4.

Kakanov, M., Hiremath, S. A., Voigt, A., Sundmacher, K., & Bajcinca, N. (2024)Learnable Adaptive and Robust Controller for a Two Particle Carbonate Precipitation ProcessIn: 2024 European Control Conference (ECC), 3868–3875doi: 10.23919/ECC64448.2024.10591065.

Kay, S., Sanchez Medina, E. I., Sundmacher, K., & Zhang, D. (2024)A symbolic regression based methodology for the construction of interpretable and predictive thermodynamic modelsIn: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 2701–2706doi: 10.1016/B978-0-443-28824-1.50451-8.

Peterson, L., Bremer, J., Goyal, P. K., Gosea, I. V., Benner, P., & Sundmacher, K. (2024)Learning Reduced-Order Models for Dynamic CO₂ Methanation using Operator InferenceIn: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 3319–3324doi: 10.1016/B978-0-443-28824-1.50554-8.

Sethi, S., Zhang, X., & Sundmacher, K. (2024)Rational Function-based Approach for Integrated Ionic Liquid Solvent Selection and Extractive Distillation Process DesignIn: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 1345–1350doi: 10.1016/B978-0-443-28824-1.50225-8.

Svitnic, T. & Sundmacher, K. (2024)Spatially Distributed Power-to-Methanol Plants in Dissimilar Locations: Specific or Standardized Designs?In: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 1531–1536doi: 10.1016/B978-0-443-28824-1.50256-8.

Vhora, K., Neeraj, T., Thévenin, D., Janiga, G., & Sundmacher, K. (2024)Investigating Fluid Flow Dynamics in Triply Periodic Minimal Surfaces (TPMS) Structures Using CFD SimulationIn: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 709–714doi: 10.1016/B978-0-443-28824-1.50119-8.

Minor, A.-J., Goldhahn, R., Rihko-Struckmann, L., & Sundmacher, K. (2023)Techno-Economic Process Analysis of the Chemical Recycling of Nylon 6 Using Phosphoric AcidIn: 33rd European Symposium on Computer Aided Process Engineering, 2393–2398doi: 10.1016/B978-0-443-15274-0.50380-2.

Peterson, L., Bremer, J., & Sundmacher, K. (2023)Hybrid modeling of the catalytic CO2 methanation using process data and process knowledgeIn: 33rd European Symposium on Computer Aided Process Engineering, 1489–1494doi: 10.1016/B978-0-443-15274-0.50237-7.

Sanchez Medina, E. I. & Sundmacher, K. (2023)Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural NetworksIn: 33rd European Symposium on Computer Aided Process Engineering, 2037–2042doi: 10.1016/B978-0-443-15274-0.50324-3.

Wang, Z., Zhou, T., & Sundmacher, K. (2023)Molecular Property Targeting for Optimal Solvent Design in Extractive Distillation ProcessesIn: 33rd European Symposium on Computer Aided Process Engineering: Computer Aided Chemical Engineering, 1247–1252doi: 10.1016/B978-0-443-15274-0.50199-2.

Zhang, X. & Sundmacher, K. (2023)Optimal Design of Anion-pillared Metal-organic Frameworks for Gas SeparationIn: 33rd European Symposium on Computer Aided Process Engineering, 991–996doi: 10.1016/B978-0-443-15274-0.50158-X.

Wang, Z., Zhou, T., & Sundmacher, K. (2022)A Novel Machine Learning-Based Optimization Approach for the Molecular Design of SolventsIn: 32nd European Symposium on Computer Aided Process Engineering, 1477–1482doi: 10.1016/B978-0-323-95879-0.50247-2.

Zhang, X., Zhou, T., & Sundmacher, K. (2022)Metal-Organic Framework Targeting for Optimal Pressure Swing Adsorption ProcessesIn: 14th International Symposium on Process Systems Engineering: 295–300doi: 10.1016/B978-0-323-85159-6.50049-X.

Zhou, T., Wang, Z., & Sundmacher, K. (2022)A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen StorageIn: 14th International Symposium on Process Systems Engineering: 1807–1812doi: 10.1016/B978-0-323-85159-6.50301-8.

Zimmermann, R. T., Bremer, J., & Sundmacher, K. (2022)Optimal Catalyst-Reactor Design for Load-Flexible CO2 Methanation by Multi-Period Design OptimizationIn: 14th International Symposium on Process Systems Engineering: 841–846doi: 10.1016/B978-0-323-85159-6.50140-8.

Balasbas III, S., Ivanov, I., & Sundmacher, K. (2021)Metabolic Network Reconstruction from Time-Series of Concentration Data: Evaluation of the Numerical Matrices MethodsIn: 31st European Symposium on Computer Aided Process Engineering, 1991–1996doi: 10.1016/B978-0-323-88506-5.50308-9.

Bremer, J., Heiland, J., Benner, P., & Sundmacher, K. (2021)Non-intrusive Time Galerkin POD for Optimal Control of a Fixed-Bed Reactor for CO₂ MethanationIn: IFAC-PapersOnLine, 122–127doi: 10.1016/j.ifacol.2021.08.229.

Sanchez Medina, E. I., Linke, S., & Sundmacher, K. (2021)Prediction of Bioconcentration Factors (BCF) using Graph Neural NetworksIn: 31st European Symposium on Computer Aided Process Engineering, 991–997doi: 10.1016/B978-0-323-88506-5.50153-4.