Publications PSE group

Otrin, N.; Otrin, L.; Bednarz, C.; Träger, T. K.; Hamdi, F.; Kastritis, P. L.; Ivanov, I.; Sundmacher, K.: Protein-Rich Rafts in Hybrid Polymer/Lipid Giant Unilamellar Vesicles. Biomacromolecules 25 (2), pp. 778 - 791 (2024)

Peterson, L.; Bremer, J.; Sundmacher, K.: Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case study. Computers & Chemical Engineering 184, 108643 (2024)

Svitnič, T.; Beer, K.; Sundmacher, K.; Böcher, M.: Optimal design of a sector-coupled renewable methanol production amid political goals and expected conflicts: Costs vs. land use. Sustainable Production and Consumption 44, pp. 123 - 150 (2024)

Svitnic, T.; Sundmacher, K.: Identifying standard and simple designs of Power-to-Methanol processes: The costs of complexity reduction. Energy Conversion and Management 307, 118325 (2024)

Zimmermann, R. T.; Sundmacher, K.: Core–Shell Catalyst Pellets for Reaction Heat Release Control in Fixed-Bed Reactors. Industrial & Engineering Chemistry Research (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. In: Proceedings of the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24). ESCAPE34/PSE24, Florence, Italy, June 02, 2024 - June 06, 2024. (accepted)

Franz, T.; Dam, A. P.; Papakonstantinou, G.; Sundmacher, K.: Analysis of PEM water electrolysis system operation strategies and their impact on iridium catalyst dissolution based on onshore wind data. EHEC (European Hydrogen Energy Conference), Bilbao, Spain (2024)

Hamedi, D.; Ganzer, C.; Sundmacher, K.: Hydrogen pipeline networks: retrofit vs. new-built. EHEC (European Hydrogen Energy Conference), Bilbao, Spain (2024)

Gochitashvili, T.; Ivanov, I.; Van Wonderen, J.; Clarke, T. A.; Sundmacher, K.: Creating conductive GUVs. SynCell2024 International Conference on Engineering Synthetic Cells and Organelles, Toulouse, France (2024)

König-Mattern, L.; Sanchez Medina, E. I.; Rihko-Struckmann, L.; Sundmacher, K.: Machine learning-based solvent screening for lignocellulose biorefineries and lignin upgrading. BioSPRINT Spring School: Opportunities and challenges of process intensification application in lignocellulosic biorefineries, Frankfurt am Main, Germany (2024)

Otrin, N.; Hammer, M.; Huang, W.; Bednarz, C.; Otrin, L.; Sundmacher, K.: Enzyme reconstitution into PMOXA-PDMS-PMOXA-based biomimetic vesicles. SynCell2024 International Conference on Engineering Synthetic Cells and Organelles, Toulouse, France (2024)

Gosea, I. V.; Peterson, L.; Goyal, P. K.; Bremer, J.; Sundmacher, K.; Benner, P.: Learning Reduced-Order Quadratic-Linear Models in Process Engineering using Operator Inference. (2024)

Peterson, L.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods. (2024)