Publikationen Forschungsgruppe PSE

Abel, K. L.; Beger, T.; Poppitz, D.; Zimmermann, R. T.; Kuschel, O.; Sundmacher, K.; Gläser, R.: Monolithic Al2O3 Xerogels with Hierarchical Meso‐/Macropore System as Catalyst Supports for Methanation of CO₂. ChemCatChem 14 (15), e202200288 (2022)

Brune, A.; Geschke, A.; Seidel-Morgenstern, A.; Hamel, C.: Modeling and Simulation of Catalyst Deactivation and Regeneration Cycles for Propane Dehydrogenation - Comparison of Different Modeling Approaches. Chemical Engineering and Processing - Process Intensification 180, 108689 (2022)

Chai, S.; Song, Z.; Zhou, T.; Zhang, L.; Qi, Z.: Computer-aided molecular design of solvents for chemical separation processes. Current Opinion in Chemical Engineering 35, 100732 (2022)

Chen, J.; Zhu, F.; Qin, H.; Song, Z.; Qi, Z.; Sundmacher, K.: Rational eutectic solvent design by linking regular solution theory with QSAR modelling. Chemical Engineering Science 262, 118042 (2022)

Cheng, J.; Qin, H.; Cheng, H.; Song, Z.; Qi, Z.; Sundmacher, K.: Rational Screening of Deep Eutectic Solvents for the Direct Extraction of α-Tocopherol from Deodorized Distillates. ACS Sustainable Chemistry & Engineering 10 (25), S. 8216 - 8227 (2022)

Guilbert, D.; Papakonstantinou, G.: Modeling, Degradation Study, Failures Diagnosis and Faulty Operating Management of Electrolyzers. Membranes 12, 1195 (2022)

Hessel, V.; Tran, N. N.; Asrami, M. R.; Tran, Q. D.; Van Duc Long, N.; Escribà-Gelonch, M.; Tejada, J. O.; Linke, S.; Sundmacher, K.: Sustainability of green solvents – review and perspective. Green Chemistry 24, S. 410 - 437 (2022)

Himmel, A.; Findeisen, R.; Sundmacher, K.: Closed-loop real-time optimization for unsteady operating production systems. Journal of Process Control 113, S. 80 - 95 (2022)

Keßler, T.; Kunde, C.; Linke, S.; Sundmacher, K.; Kienle, A.: Integrated computer-aided molecular and process design: Green solvents for the hydroformylation of long-chain olefines. Chemical Engineering Science 249, 117243 (2022)

Long, N. V. D.; Kim, G. S.; Tran, N. N.; Lee, D. Y.; Fulcheri, L.; Song, Z.; Sundmacher, K.; Lee, M.; Hessel, V.: Biogas upgrading using ionic liquid [Bmim][PF6] followed by thermal-plasma-assisted renewable hydrogen and solid carbon production. International Journal of Hydrogen Energy 47 (100), S. 42075 - 42083 (2022)

Marušič, N.; Otrin, L.; Rauchhaus, J.; Zhao, Z.; Kyrilis, F. L.; Hamdi, F.; Kastritis, P. L.; Dimova, R.; Ivanov, I.; Sundmacher, K.: Increased efficiency of charge-mediated fusion in polymer/lipid hybrid membranes. Proceedings of the National Academy of Sciences 119 (20), e2122468119 (2022)

Marušič, N.; Zhao, Z.; Otrin, L.; Dimova, R.; Ivanov, I.; Sundmacher, K.: Fusion‐Induced Growth of Biomimetic Polymersomes: Behavior of Poly(dimethylsiloxane)‐Poly(ethylene oxide) Vesicles in Saline Solutions Under High Agitation. Macromolecular Rapid Communications 43 (5), e2100712 (2022)

Papakonstantinou, G.; Spanos, I.; Dam, A. P.; Schlögl, R.; Sundmacher, K.: Electrochemical evaluation of the de-/re-activation of oxygen evolving Ir oxide. Physical Chemistry Chemical Physics 24 , S. 14579 - 14591 (2022)

Qin, H.; Cheng, J.; Yu, H.; Zhou, T.; Song , Z.: Hierarchical Ionic Liquid Screening Integrating COSMO-RS and Aspen Plus for Selective Recovery of Hydrofluorocarbons and Hydrofluoroolefins from a Refrigerant Blend. Industrial & Engineering Chemistry Research 61 (11), S. 4083 - 4094 (2022)

Qin, H.; Song, Z.; Qi, Z.; Sundmacher, K.: Comparative screening of organic solvents, ionic liquids, and their binary mixtures for vitamin E extraction from deodorizer distillate. Chemical Engineering and Processing - Process Intensification 171, 108711 (2022)

Qin, H.; Wang, Z.; Song, Z.; Zhang, X.; Zhou, T.: High-Throughput Computational Screening of Ionic Liquids for Butadiene and Butene Separation. Processes 10 (1), 165 (2022)

Sanchez Medina, E. I.; Linke, S.; Stoll, M.; Sundmacher, K.: Graph neural networks for the prediction of infinite dilution activity coefficients. Digital Discovery 1 (3), S. 216 - 225 (2022)

Song , Z.; Long, N. V. D.; Qin, H.; Tran, N. N.; Fulcheri, L.; Hessel, V.; Sundmacher, K.: Thermal-plasma-assisted renewable hydrogen and solid carbon production from ionic liquid-based biogas upgrading: A process intensification study. Chemical Engineering and Processing - Process Intensification 180, 108777 (2022)

Svitnič, T.; Sundmacher, K.: Renewable methanol production: Optimization-based design, scheduling and waste-heat utilization with the FluxMax approach. Applied Energy 326, 120017 (2022)

Wang, Z.; Zhou, T.; Sundmacher, K.: Interpretable machine learning for accelerating the discovery of metal-organic frameworks for ethane/ethylene separation. Chemical Engineering Journal 444, 136651 (2022)

Wang, Z.; Zhou, Y.; Zhou, T.; Sundmacher, K.: Identification of Optimal Metal-Organic Frameworks by Machine Learning: Structure Decomposition, Feature Integration, and Predictive Modeling. Computers & Chemical Engineering 160, 107739 (2022)

Weber, S.; Zimmermann, R. T.; Bremer, J.; Abel, K. L.; Poppitz, D.; Prinz, N.; Ilsemann, J.; Wendholt, S.; Yang, Q.; Pashminehazar, R. et al.; Monaco, F.; Cloetens, P.; Huang, X.; Kübel, C.; Kondratenko, E.; Bauer, M.; Bäumer, M.; Zobel, M.; Gläser, R.; Sundmacher, K.; Sheppard, T. L.: Digitization in Catalysis Research: Towards a Holistic Description of a Ni/Al2O3 Reference Catalyst for CO2 Methanation. ChemCatChem 14 (8), e202101878 (2022)

Wen, H.; Su, Y.; Wang, Z.; Jin, S.; Ren, J.; Shen, W.; Eden, M.: A systematic modeling methodology of deep neural network‐based structure‐property relationship for rapid and reliable prediction on flashpoints. AIChE Journal 68 (1), 17402 (2022)

Xu, J.; Rong, S.; Sun, J.; Peng, Z.; Jin, H.; Guo, L.; Zhang, X.; Zhou, T.: Optimal design of non-isothermal supercritical water gasification reactor: From biomass to hydrogen. Energy 244, 123163 (2022)

Yang, A.; Su, Y.; Shi, T.; Ren, J.; Shen, W.; Zhou, T.: Energy-efficient recovery of tetrahydrofuran and ethyl acetate by triple-column extractive distillation: entrainer design and process optimization. Frontiers of Chemical Science and Engineering 16, S. 303 - 315 (2022)

Zhang, X.; Sethi, S.; Wang, Z.; Zhou, T.; Qi, Z.; Sundmacher, K.: A neural recommender system for efficient adsorbent screening. Chemical Engineering Science 259, 117801 (2022)

Zhang, X.; Zhou, T.; Sundmacher, K.: Integrated metal–organic framework and pressure/vacuum swing adsorption process design: Descriptor optimization. AIChE Journal 68 (2), e17524 (2022)

Zhang, X.; Zhou, T.; Sundmacher, K.: Integrated metal‐organic framework (MOF) and pressure/vacuum swing adsorption process design:MOFmatching. AIChE Journal 68 (9), e17788 (2022)

Zhou, Y.; Zhang, X.; Zhou, T.; Sundmacher, K.: Computational Screening of Metal-Organic Frameworks for Ethylene Purification from Ethane/Ethylene/Acetylene Mixture. Nanomaterials 12 (5), 869 (2022)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Load-flexible fixed-bed reactors by multi-period design optimization. Chemical Engineering Journal 428, 130771 (2022)

Kraume, M.; Enders, S.; Drews, A.; Schomäcker, R.; Engell, S.; Sundmacher, K. (Hg.): Integrated Chemical Processes in Liquid Multiphase Systems: from Chemical Reaction to Process Design and Operation. De Gruyter, Berlin/Boston (2022), 622 S.

Sundmacher, K.: Integrated Process Design. In: Integrated Chemical Processes in Liquid Multiphase Systems, S. 509 - 573 (Hg. Kraume, M.; Enders, S.; Drews, A.; Schomäcker, R.; Engell, S. et al.). De Gruyter (2022)

Wang, Z.; Zhou, T.; Sundmacher, K.: A Novel Machine Learning-Based Optimization Approach for the Molecular Design of Solvents. In: 32nd European Symposium on Computer Aided Process Engineering, S. 1477 - 1482. 32nd European Symposium on Computer Aided Process Engineering : ESCAPE 32, Toulouse, France, 12. Juni 2022 - 15. Juni 2022. Elsevier (2022)

Zhang, X.; Zhou, T.; Sundmacher, K.: Metal-Organic Framework Targeting for Optimal Pressure Swing Adsorption Processes. In: 14th International Symposium on Process Systems Engineering:, S. 295 - 300 (Hg. Yamashita, Y.; Kano, M.). 14th International Symposium on Process Systems Engineering - PSE 2021 +, Kyoto, Japan, 19. Juni 2022 - 23. Juni 2022. Elsevier (2022)

Zhou, T.; Wang, Z.; Sundmacher, K.: A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen Storage. In: 14th International Symposium on Process Systems Engineering:, S. 1807 - 1812 (Hg. Yamashita, Y.; Kano, M.). 14th International Symposium on Process Systems Engineering - PSE 2021+, Kyoto, Japan, 19. Juni 2022 - 23. Juni 2022. Elsevier (2022)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Optimal Catalyst-Reactor Design for Load-Flexible CO2 Methanation by Multi-Period Design Optimization. In: 14th International Symposium on Process Systems Engineering:, S. 841 - 846 (Hg. Yamashita, Y.; Kano, M.). 14th International Symposium on Process Systems Engineering - PSE 2021 +, Kyoto, Japan, 19. Juni 2022 - 23. Juni 2022. Elsevier (2022)

Bremer, J.; Sundmacher, K.: Novel Multiplicity and Stability Criteria for Polytropic Fixed-Bed Reactors. 2022 AIChE Annual Meeting, Phoenix, USA (2022)

Bremer, J.; Zimmermann, R. T.; Sundmacher, K.: New Insights on Fixed-Bed Reactor Dynamics Via Real-Time Distributed Temperature Sensing. 2022 AIChE Annual Meeting, Phoenix, USA (2022)

Dam, A. P.; Papakonstantinou, G.; Sundmacher, K.: Insights on the Pathway-Related Charge of Iridium Dissolution Products and Implications for Electrocatalytic Water Splitting. ISE Regional Meeting 2022, Prague, Czech Republic (angenommen)

Dam, A. P.; Papakonstantinou, G.; Sundmacher, K.: Insights on the Pathway-Related Charge of Iridium Dissolution Products and Electrocatalytic Stability of Water Splitting. 73rd ISE Annual Meeting, Virtual (angenommen)

Franz, T.; Phuc Dam, A.; Papakonstantinou, G.; Sundmacher, K.: Degradation of PEM Water Electrolyzers in connection to operating strategies. 5th International Workshop on Degradation Issues of Fuel Cells and Electrolyzers, Corfu, Greece (2022)

König-Mattern, L.; Komarova, A.; Linke, S.; Rihko-Struckmann, L.; Luterbacher, J.; Sundmacher, K.: Computational solvent screening for the organosolv fractionation of lignocellulosic biomass. ISGC 2022: International Symposium on Green Chemistry, La Rochelle, France (2022)

König-Mattern, L.; Linke, S.; Rihko-Struckmann, L.; Sundmacher, K.: Lipid extraction in microalgal biorefineries: A COSMO-RS approach. 18th International Conference on Renewable Resources and Biorefineries, Bruges, Belgium (2022)

Maggi, A.; Bremer, J.; Sundmacher, K.: Multiperiod Design Optimization of a Flexible Power-to-Methanol Process. 26th International Congress of Chemical and Process Engineering (CHISA 2022) , Prague, Czech Republic (2022)

Maggi, A.; Bremer, J.; Sundmacher, K.: Multiperiod Design Optimization of a Flexible Power-to-Methanol Process. 2022 AIChE Annual Meeting, Phoenix, USA (2022)

Papakonstantinou, G.; Dam, A. P.; Sundmacher, K.: Electrochemical Investigation of the De-/Re-activation of Oxygen Evolving Iridium Oxide. 73rd ISE Annual Meeting, Virtual (angenommen)

Sundmacher, K.: Wasserstoff-Technologien: Bausteine einer CO₂-neutralen Energieversorgung. Technikwissenschaftliche Vorlesung, Berlin-Brandenburgische Akademie der Wissenschaften, Berlin (2022)

Svitnic, T.; Sundmacher, K.: Optimization-based design of renewable methanol production encompassing waste heat utilization with the FluxMax approach. 2022 AIChE Annual Meeting, Phoenix, USA (2022)

Voigt, A.; Sundmacher, K.: Mine tailings for CO2 mineralization - Towards efficient processes and usable products. 2022 AIChE Annual Meeting, Phoenix, USA (2022)

Wang, Z.; Zhou, T.; Sundmacher, K.: A Novel Machine Learning-Based Optimization Approach for the Molecular Design of Solvents. ESCAPE-32, Toulouse, France (2022)