Publications of Kai Sundmacher
All genres
Journal Article (439)
2023
Journal Article
König-Mattern, L., , , Linke, S., Rihko-Struckmann, L., , & 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
, , , Zimmermann, R. T., , Sundmacher, K., & (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
, , , , , & 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
, , , , , & 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
, , , , , , , Linke, S., & Sundmacher, K. (2022)Sustainability of green solvents – review and perspectiveGreen Chemistry, 24, 410–437doi: 10.1039/D1GC03662A.
Journal Article
, , & 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
, , 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., , , , , , , 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., , Otrin, L., , 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., , , , & 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., , & 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., , & 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
, , , , , , & 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
& 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
, Zimmermann, R. T., Bremer, J., , , , , , , , , , , , , , , , , Sundmacher, K., & (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., , Wang, 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.