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)

Pelz, L.; Dogra, T.; Rüdiger, D.; Boehme, J.; Kershaw, O.; Bruder, D.; Kupke, S. Y.; Reichl, U.: Defective Interfering Particles of Influenza A Virus As Broad-Spectrum Antivirals. 33^rd Annual Meeting of the Society for Virology (GfV), Vienna (Austria) (2024)

Piasecka, J.; Rüdiger, D.; Küchler, J.; Kupke, S. Y.; Reichl, U.: Mechanisms of antiviral action of the influenza defective interfering particle “OP7”. 33^rd Annual Meeting of the Society for Virology (GfV), Vienna (Austria) (2024)

Reddig, C.: Active Sampling Strategies for Model Reduction for Structured Dynamical Systems. Master, Otto-von-Guericke Universität, Magdeburg (2024)

Junge, B.: On Solving Large and Sparse Systems of Linear Equations with Multiple Right-Hand Sides. Bachelor, Otto-von-Guericke Universität, Magdeburg (2024)

Antoulas, A. C.; Gosea, I. V.; Poussot-Vassal, C.: The Loewner Framework for Parametric Systems: Taming the Curse of Dimensionality. (2024)

Karachalios, D.; Gosea, I. V.; Gkimisis, L.; Antoulas, A. C.: Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements. (2024)

Heiland, J.; Yongho, K.; Werner, S. W. R.: Deep Polytopic Autoencoders for Low-Dimensional Linear Parameter-Varying Approximations and Nonlinear Feedback Design. (2024)

Zuyev, A.; Feng, L.; Benner, P.: Estimates of the Kolmogorov n-Width for Nonlinear Transformations with Application to Distributed-Parameter Control Systems. (2024)

Pontes Duff, I.; Goyal, P. K.; Benner, P.: Stability-Certified Learning of Control Systems with Quadratic Nonlinearities. (2024)

Veluvali, P.; Heiland, J.; Benner, P.: MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments. (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)

Przybilla, J.; Pontes Duff, I.; Goyal, P. K.; Benner, P.: Balanced Truncation of Descriptor Systems with a Quadratic Output. (2024)

Baran, B.; Benner, P.; Saak, J.; Stillfjord, T.: Numerical Methods for Closed-Loop Systems with Non-Autonomous Data. (2024)

Saak, J.; Werner, S. W. R.: Using LDL^T Factorizations in Newton's Method for Solving General Large-Scale Algebraic Riccati Equations. (2024)

Philipp, F. M.; Schaller, M.; Boshoff, S.; Peitz, S.; Nüske, F.; Worthmann, K.: Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency. (2024)

Heiland, J.; Yongho, K.: Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows. (2024)

Mlinarić, P.; Benner, P.; Gugercin, S.: Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. (2024)