Publications of Kai Sundmacher

Journal Article (439)

2023
Journal Article
König-Mattern, L., Komarova, A. O., Ghosh, A., Linke, S., Rihko-Struckmann, L., Luterbacher, J., & Sundmacher, K. (2023)High-throughput computational solvent screening for lignocellulosic biomass processingChemical Engineering Journal, 452, 139476doi: 10.1016/j.cej.2022.139476.
2022
Journal Article
Abel, K. L., Beger, T., Poppitz, D., Zimmermann, R. T., Kuschel, O., Sundmacher, K., & Gläser, R. (2022)Monolithic Al2O3 Xerogels with Hierarchical Meso‐/Macropore System as Catalyst Supports for Methanation of CO2ChemCatChem, 14 (15), e202200288doi: 10.1002/cctc.202200288.
Journal Article
Chen, J., Zhu, F., Qin, H., Song, Z., Qi, Z., & Sundmacher, K. (2022)Rational eutectic solvent design by linking regular solution theory with QSAR modellingChemical Engineering Science, 262, 118042doi: 10.1016/j.ces.2022.118042.
Journal Article
Cheng, J., Qin, H., Cheng, H., Song, Z., Qi, Z., & Sundmacher, K. (2022)Rational Screening of Deep Eutectic Solvents for the Direct Extraction of α-Tocopherol from Deodorized DistillatesACS Sustainable Chemistry & Engineering, 10 (25), 8216–8227doi: 10.1021/acssuschemeng.2c01992.
Journal Article
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. (2022)Sustainability of green solvents – review and perspectiveGreen Chemistry, 24, 410–437doi: 10.1039/D1GC03662A.
Journal Article
Himmel, A., Findeisen, R., & Sundmacher, K. (2022)Closed-loop real-time optimization for unsteady operating production systemsJournal of Process Control, 113, 80–95doi: 10.1016/j.jprocont.2022.03.002.
Journal Article
Keßler, T., Kunde, C., Linke, S., Sundmacher, K., & Kienle, A. (2022)Integrated computer-aided molecular and process design: Green solvents for the hydroformylation of long-chain olefinesChemical Engineering Science, 249, 117243doi: 10.1016/j.ces.2021.117243.
Journal Article
Marušič, N., Otrin, L., Rauchhaus, J., Zhao, Z., Kyrilis, F. L., Hamdi, F., Kastritis, P. L., Dimova, R., Ivanov, I., & Sundmacher, K. (2022)Increased efficiency of charge-mediated fusion in polymer/lipid hybrid membranesProceedings of the National Academy of Sciences, 119 (20), e2122468119doi: 10.1073/pnas.2122468119.
Journal Article
Marušič, N., Zhao, Z., Otrin, L., Dimova, R., Ivanov, I., & Sundmacher, K. (2022)Fusion‐Induced Growth of Biomimetic Polymersomes: Behavior of Poly(dimethylsiloxane)‐Poly(ethylene oxide) Vesicles in Saline Solutions Under High AgitationMacromolecular Rapid Communications, 43 (5), e2100712doi: 10.1002/marc.202100712.
Journal Article
Papakonstantinou, G., Spanos, I., Dam, A. P., Schlögl, R., & Sundmacher, K. (2022)Electrochemical evaluation of the de-/re-activation of oxygen evolving Ir oxidePhysical Chemistry Chemical Physics, 24, 14579–14591 doi: 10.1039/D2CP00828A.
Journal Article
Qin, H., Song, Z., Qi, Z., & Sundmacher, K. (2022)Comparative screening of organic solvents, ionic liquids, and their binary mixtures for vitamin E extraction from deodorizer distillateChemical Engineering and Processing - Process Intensification, 171, 108711doi: 10.1016/j.cep.2021.108711.
Journal Article
Sanchez Medina, E. I., Linke, S., Stoll, M., & Sundmacher, K. (2022)Graph neural networks for the prediction of infinite dilution activity coefficientsDigital Discovery, 1 (3), 216–225 doi: 10.1039/D1DD00037C.
Journal Article
Song , Z., Long, N. V. D., Qin, H., Tran, N. N., Fulcheri, L., Hessel, V., & Sundmacher, K. (2022)Thermal-plasma-assisted renewable hydrogen and solid carbon production from ionic liquid-based biogas upgrading: A process intensification studyChemical Engineering and Processing - Process Intensification, 180, 108777doi: 10.1016/j.cep.2021.108777.
Journal Article
Svitnič, T. & Sundmacher, K. (2022)Renewable methanol production: Optimization-based design, scheduling and waste-heat utilization with the FluxMax approachApplied Energy, 326, 120017doi: 10.1016/j.apenergy.2022.120017.
Journal Article
Wang, Z., Zhou, T., & Sundmacher, K. (2022)Interpretable machine learning for accelerating the discovery of metal-organic frameworks for ethane/ethylene separationChemical Engineering Journal, 444, 136651doi: 10.1016/j.cej.2022.136651.
Journal Article
Wang, Z., Zhou, Y., Zhou, T., & Sundmacher, K. (2022)Identification of Optimal Metal-Organic Frameworks by Machine Learning: Structure Decomposition, Feature Integration, and Predictive ModelingComputers & Chemical Engineering, 160, 107739doi: 10.1016/j.compchemeng.2022.107739.
Journal Article
Weber, S., Zimmermann, R. T., Bremer, J., Abel, K. L., Poppitz, D., Prinz, N., Ilsemann, J., Wendholt, S., Yang, Q., Pashminehazar, R., Monaco, F., Cloetens, P., Huang, X., Kübel, C., Kondratenko, E., Bauer, M., Bäumer, M., Zobel, M., Gläser, R., Sundmacher, K., & Sheppard, T. L. (2022)Digitization in Catalysis Research: Towards a Holistic Description of a Ni/Al2O3 Reference Catalyst for CO2 MethanationChemCatChem, 14 (8), e202101878doi: 10.1002/cctc.202101878.
Journal Article
Zhang, X., Sethi, S., Wang, Z., Zhou, T., Qi, Z., & Sundmacher, K. (2022)A neural recommender system for efficient adsorbent screeningChemical Engineering Science, 259, 117801doi: 10.1016/j.ces.2022.117801.
Journal Article
Zhang, X., Zhou, T., & Sundmacher, K. (2022)Integrated metal–organic framework and pressure/vacuum swing adsorption process design: Descriptor optimizationAIChE Journal, 68 (2), e17524doi: 10.1002/aic.17524.
Journal Article
Zhang, X., Zhou, T., & Sundmacher, K. (2022)Integrated metal‐organic framework (MOF) and pressure/vacuum swing adsorption process design:MOFmatchingAIChE Journal, 68 (9), e17788doi: 10.1002/aic.17788.
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