Publications PSE group

2022

Journal Article

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)

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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, pp. 410 - 437 (2022)

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

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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)

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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)

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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), pp. 4083 - 4094 (2022)

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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)

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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)

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

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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)

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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)

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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)

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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)

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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, pp. 303 - 315 (2022)

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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)

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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)

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

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2021

Journal Article

Ahmad, R.; Kleineberg, C.; Nasirimarekani, V.; Su, Y.-J.; Goli Pozveh, S.; Bae, A.; Sundmacher, K.; Bodenschatz, E.; Guido, I.; Vidaković-Koch, T. et al.; Gholami, A.: Light-Powered Reactivation of Flagella and Contraction of Microtubule Networks: Toward Building an Artificial Cell. ACS Synthetic Biology 10 (6), pp. 1490 - 1504 (2021)

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Bechtel, S.; Crothers, A. R.; Weber, A. Z.; Kunz, U.; Turek, T.; Vidaković-Koch, T.; Sundmacher, K.: Advances in the HCl gas-phase electrolysis employing an oxygen-depolarized cathode. Electrochimica Acta 365, 137282 (2021)

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Bremer, J.; Sundmacher, K.: Novel Multiplicity and Stability Criteria for Non-Isothermal Fixed-Bed Reactors. Frontiers in Energy Research 8, 549298 (2021)

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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, 108689 (2021)

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Chen, G.; Song, Z.; Qi, Z.: Transformer-convolutional neural network for surface charge density profile prediction: Enabling high-throughput solvent screening with COSMO-SAC. Chemical Engineering Science 246, 117002 (2021)

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Chen, G.; Song, Z.; Qi, Z.; Sundmacher, K.: Neural recommender system for the activity coefficient prediction and UNIFAC model extension of ionic liquid‐solute systems. AIChE Journal 67 (4), e17171 (2021)

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Hu, X.; Wang, J.; Mei, M.; Song, Z.; Cheng, H.; Chen, L.; Qi, Z.: Transformation of CO2 incorporated in adducts of N-heterocyclic carbene into dialkyl carbonates under ambient conditions: An experimental and mechanistic study. Chemical Engineering Journal 413, 127469 (2021)

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Ivanov, I.; Lopez-Castellanos, S.; Balasbas III, S.; Otrin, L.; Marušič, N.; Vidaković-Koch, T.; Sundmacher, K.: Bottom-Up Synthesis of Artificial Cells: Recent Highlights and Future Challenges. Annual Review of Chemical and Biomolecular Engineering 12, pp. 287 - 308 (2021)

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König-Mattern, L.; Linke, S.; Rihko-Struckmann, L.; Sundmacher, K.: Computer-aided solvent screening for the fractionation of wet microalgae biomass. Green Chemistry 23, pp. 10014 - 10029 (2021)

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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 (2021)

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Ludwig, K.; Rihko-Struckmann, L.; Brinitzer, G.; Unkelbach, G.; Sundmacher, K.: β-Carotene extraction from Dunaliella salina by supercritical CO₂. Journal of Applied Phycology 33, pp. 1435 - 1445 (2021)

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Maggi, A.; Garmatter, D.; Sager, S.; Stoll, M.; Sundmacher, K.: Power-to-Syngas: A Parareal Optimal Control Approach. Frontiers in Energy Research 9, 720489 (2021)

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Meinusch, N.; Kramer, S.; Körner, O.; Wiese, J.; Seick, I.; Beblek, A.; Berges, R.; Illenberger, B.; Illenberger, M.; Uebbing, J. et al.; Wolf, M.; Saake, G.; Benndorf, D.; Reichl, U.; Heyer, R.: Integrated Cycles for Urban Biomass as a Strategy to Promote a CO2-Neutral Society—A Feasibility Study. Sustainability 13 (17), 9505 (2021)

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Otrin, L.; Witkowska, A.; Marušič, N.; Zhao, Z.; Lira, R. B.; Kyrilis, F. L.; Hamdi, F.; Ivanov, I.; Lipowsky, R.; Kastritis, P. L. et al.; Dimova, R.; Sundmacher, K.; Jahn, R.; Vidaković-Koch, T.: En route to dynamic life processes by SNARE-mediated fusion of polymer and hybrid membranes. Nature Communications 12, 4972 (2021)

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Peng, D.; Kleiweg, A.-J.; Winkelman, J. G. M.; Song, Z.; Picchioni, F.: A Hierarchical Hybrid Method for Screening Ionic Liquid Solvents for Extractions Exemplified by the Extractive Desulfurization Process. ACS Sustainable Chemistry & Engineering 9 (7), pp. 2705 - 2716 (2021)

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Qin, H.; Wang, Z.; Zhou, T.; Song, Z.: Comprehensive Evaluation of COSMO-RS for Predicting Ternary and Binary Ionic Liquid-Containing Vapor–Liquid Equilibria. Industrial & Engineering Chemistry Research 60 (48), pp. 17761 - 17777 (2021)

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Reichl, U.; Seidel-Morgenstern, A.; Sundmacher, K.; Tsotsas, E.; van Wachem, B.: Forschungsarbeiten am Institut für Verfahrenstechnik der Otto‐von‐Guericke‐Universität Magdeburg. Chemie Ingenieur Technik 93 (3), pp. 345 - 352 (2021)

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Shetty, S. C.; Yandrapalli, N.; Pinkwart, K.; Krafft, D.; Vidaković-Koch, T.; Ivanov, I.; Robinson, T.: Directed Signaling Cascades in Monodisperse Artificial Eukaryotic Cells. ACS Nano 15 (10), pp. 15656 - 15666 (2021)

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Shi, H.; Zhang, X.; Sundmacher, K.; Zhou, T.: Model-Based Optimal Design of Phase Change Ionic Liquids for Efficient Thermal Energy Storage. Green Energy & Environment 6 (3), pp. 392 - 404 (2021)

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Shi, H.; Zhou, T.: Computational design of heterogeneous catalysts and gas separation materials for advanced chemical processing. Frontiers of Chemical Science and Engineering 15, pp. 49 - 59 (2021)

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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, 108777 (2021)

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Song, Z.; Wang, J.; Sundmacher, K.: Evaluation of COSMO-RS for solid-liquid equilibria prediction of binary eutectic solvent systems. Green Energy & Environment 6 (3), pp. 371 - 379 (2021)

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Sorrentino, A.; Sundmacher, K.; Vidaković-Koch, T.: Decoupling oxygen and water transport dynamics in polymer electrolyte membrane fuel cells through frequency response methods based on partial pressure perturbations. Electrochimica Acta 390, 138788 (2021)

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Staufer, O.; De Lora, J. A.; Bailoni, E.; Bazrafshan, A.; Benk, A. S.; Jahnke, K.; Manzer, Z. A.; Otrin, L.; Díez Pérez, T.; Sharon, J. et al.; Steinkühler, J.; Adamala, K. P.; Jacobson, B.; Dogterom, M.; Göpfrich, K.; Stefanovic, D.; Atlas, S. R.; Grunze, M.; Lakin, M. R.; Shreve, A. P.; Spatz, J. P.; López, G. P.: Building a community to engineer synthetic cells and organelles from the bottom-up. eLife 10, e73556 (2021)

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Stracy, M.; Schweizer, J.; Sherratt, D. J.; Kapanidis, A. N.; Uphoff, S.; Lesterlin, C.: Transient non-specific DNA binding dominates the target search of bacterial DNA-binding proteins. Molecular Cell 81 (7), pp. 1499 - 1514 (2021)

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Uebbing, J.; Biegler, L. T.; Rihko-Struckmann, L.; Sager, S.; Sundmacher, K.: Optimization of Pressure Swing Adsorption via a Trust-Region Filter Algorithm and Equilibrium Theory. Computers & Chemical Engineering 151, 107340 (2021)

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Wang, M.; Weber, A.; Hartig, R.; Zheng, Y.; Krafft, D.; Vidaković-Koch, T.; Zuschratter, W.; Ivanov, I.; Sundmacher, K.: Scale up of Transmembrane NADH Oxidation in Synthetic Giant Vesicles. Bioconjugate Chemistry 32 (5), pp. 897 - 903 (2021)

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Wang, Z.; Song, Z.; Zhou, T.: Machine Learning for Ionic Liquid Toxicity Prediction. Processes 9 (1), 65 (2021)

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Xu, J.; Peng, Z.; Rong, S.; Jin, H.; Guo, L.; Zhang, X.; Zhou, T.: Model-based thermodynamic analysis of supercritical water gasification of oil-containing wastewater. Fuel 306, 121767 (2021)

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Zhang, E.; Osipova, N.; Sokolov, M.; Maksimenko, O.; Semyonkin, A.; Wang, M.; Grigartzik, L.; Gelperina, S.; Sabel, B. A.; Henrich-Noack, P.: Exploring the systemic delivery of a poorly water-soluble model drug to the retina using PLGA nanoparticles. European Journal of Pharmaceutical Sciences 164, 105905 (2021)

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Zhang, X.; Ding, X.; Song, Z.; Zhou, T.; Sundmacher, K.: Integrated Ionic Liquid and Rate‐Based Absorption Process Design for Gas Separation: Global Optimization Using Hybrid Models. AIChE Journal 67 (10), 17340 (2021)

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Zhang, X.; Wang, J.; Song, Z.; Zhou, T.: Data-Driven Ionic Liquid Design for CO2 Capture: Molecular Structure Optimization and DFT Verification. Industrial & Engineering Chemistry Research 60 (27), pp. 9992 - 10000 (2021)

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Zhang, X.; Zhou, T.; Ng, K. M.: Optimization‐based cosmetic formulation: Integration of mechanistic model, surrogate model, and heuristics. AIChE Journal 67 (1), e17064 (2021)

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Publications PSE group

Journal Article (471)