Publikationen von Kai Sundmacher

Hiremath , S.A.; Kakanov , M.; Voigt, A.; Sundmacher, K.; Bajcinca , N.: Learning based Adaptive Robust Control of a Precipitation Process. ESCAPE-34, Florence, Italy (2024)

Kay, S.; Sanchez Medina, E. I.; Sundmacher, K.; Zhang, D.: A symbolic regression based methodology for the construction of interpretable and predictive thermodynamic models. ESCAPE-34, Florence, Italy (2024)

Klimek, A.; Ganzer, C.; Sundmacher, K.: Enhancing superstructure optimization via embedded neural networks in optimal process design for sustainable aviation fuel (SAF) production. ESCAPE34, Florence, Italy (2024)

Klimek, A.; Svitnic, T.; Ganzer, C.; Sundmacher, K.: The influence of technical, economic, and site-specific factors on optimal ammonia production from renewables. 2024 AIChE Annual Meeting , San Diego, USA (eingereicht)

König-Mattern, L.; Sanchez Medina, E. I.; Komarova, A. O.; Linke, S.; Rihko-Struckmann, L.; Luterbacher, J. S.; Sundmacher, K.: PSEvolve: A graph-based solvent design framework. ESCAPE34 , Florence, Italy (2024)

Peterson, L.; Bremer, J.; Goyal, P. K.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Learning reduced-order models for dynamic CO2 methanation using operator inference. ESCAPE-34, Florence, Italy (2024)

Peterson, L.; Goyal, P. K.; Pontes Duff, I.; Gosea, I. V.; Bremer, J.; Benner, P.; Sundmacher, K.: Stability-Guaranteed Inference of Reduced-Order Models with Control of Power-to-X Processes. 2024 AIChE Annual Meeting, San Diego, USA (eingereicht)

Sanchez Medina, E. I.; Minor, A.-J.; Sundmacher, K.: A Comparison of the UNIFAC Model vs. Graph Neural Network-based Models for the Prediction of Binary Vapor-Liquid Equilibria. 33rd European Symposium on Applied Thermodynamics 2024, Edinburgh, UK (2024)

Svitnic, T.; Sundmacher, K.: Spatially distributed power-to-methanol plants in dissimilar locations: specific or standardized designs? ESCAPE34, Florence, Italy (2024)

Svitnic, T.; Sundmacher, K.: Investigating the design of global-scale Power-to-Methanol production systems: Large- or small-scale chemical plants? 2024 AIChE Annual Meeting , San Diego, USA (eingereicht)

Zimmermann, R. T.; Geschke, A.; Peterson, L.; Bremer, J.; Sundmacher, K.: A Smart Catalytic Fixed-Bed Reactor for CO2 Methanation. Achema 2024 , Frankfurt, Germany (2024)

Otrin, L.; Otrin, N.; Bednarz, C.; Sundmacher, K.: Bottom-up assembly of A prokaryotic synthetic cell. N.I.C.E. INTERNATIONAL RENDEZ-VOUS, Nice, France (2023)

Chang Dominguez, D.; Dam, A. P.; Richter, T.; Sundmacher, K.: Application of a multirate method to model the degradation of the Iridium Anode Catalyst Layer in a Proton Exchange Membrane Water Electrolyzer. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Dresden, Germany (2023)

Chang Dominguez, D.; Dam, A. P.; Richter, T.; Sundmacher, K.: Application of a multirate method to model the degradation of the Iridium anode catalyst layer in a proton exchange membrane water electrolyzer. CSE 2023 - Workshop on Computational Science and Engineering, Gross Schwansee, Germany (2023)

Hamedi, D.; Ganzer, C.; Sundmacher, K.: Comparative study of hydrogen and natural gas networks: Simulation and network design optimization. WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERING, Buenos Aires, Argentina (2023)

Hiremath, S. A.; Batool, I.; Kakanov, M.; Bajcinca, N.; Hegde, C.; Voigt, A.; Sundmacher, K.: Self-Learning Adaptive Robust Control of a Precipitation Process. ECCE 14 & ECAB 7: 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany (2023)

König-Mattern, L.; Sanchez Medina, E. I.; Komarova, A. O.; Linke, S.; Rihko-Struckmann, L.; Luterbacher, J.; Sundmacher, K.: Tailored solvent design for lignin dissolution using graph neural networks. ECCE 14 & ECAB 7: 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany (2023)

Minor, A.-J.; Goldhahn, R.; Rihko-Struckmann, L.; Sundmacher, K.: Techno-Economic Process Analysis of the Chemical Recycling of Nylon 6 Using Phosphoric Acid. ESCAPE-33, Athens, Greece (2023)

Otrin, L.; Otrin, N.; Bednarz, C.; Sundmacher, K.: Bottom-up assembly of A prokaryotic synthetic cell. SynCell 2023, Minneapolis, USA (2023)

Peterson, L.; Bremer, J.; Goyal, P. K.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Learning reduced-order models for dynamic CO2 methanation using operator inference. ESCAPE34 - PSE24, Florence, Italy (angenommen)