Search results

Schramm, H.; Kienle, A.; Kaspereit, M.; Seidel-Morgenstern, A.: Method and Device for Chromatographic Component Separation. US 7479228B2 (2009)

Seidel-Morgenstern, A.; Vollgraf, K.-D.; Ebner, L.; Öhlmann, G.; Zarmer, H.; Becker, K.; Meye, H.; Bisinger, H.-J.; Haftendorn, M.; Schubert, J.: Katalysator zur Herstellung von Dimethylether aus Synthesegas. DD291937A5 (1991)

Lorenz, H.; Tenberg, V.; Wünsche, S.; Seidel-Morgenstern, A.: Selektive Kristallisation: Vom Extrakt zum reinen Pharmazeutikum. (2021)

Triemer, S.; Vu, T. G.; Harriehausen, I.; Seidel-Morgenstern, A.: Grüne Verfahrenstechnik: Herstellung von Malariamedikamenten. (2021)

Seidel-Morgenstern, A.: How Can the Enantiomers of a Chiral Molecule be Separated More Effectively? (2017)

Sundmacher, K.: How Can Chemicals Be Produced in a More Sustainable Process? (2017)

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)

Grushkovskaya, V.; Vasylieva, I.; Zuyev, A.: Partial Stabilization of Nonlinear Systems Along a Given Trajectory. (2024)

Bauer, S.; Benner, P.; Bereau, T.; Blum, V.; Boley, M.; Carbogno, C.; A. Catlow, C. R.; Dehm, G.; Eibl, S.; Ernstorfer, R. et al.; Fekete, Á.; Foppa, L.; Fratzl, P.; Freysoldt, C.; Gault, B.; M. Ghiringhelli, L.; Sajal, K. G.; Gladyshev, A.; Goyal, P. K.; Hattrick-Simpers, J.; Kabalan, L.; Karpov, P.; S. Khorrami, M.; Koch, C.; Kokott, S.; Kosch, T.; Kowalec, I.; Kremer, K.; Leitherer, A.; Li, Y.; Liebscher, C. H.; Logsdail, A. J.; Lu, Z.; Luong, F.; Marek, A.; Merz, F.; R. Mianroodi, J.; Neugebauer, J.; Purcell, T. A. R.; Raabe, D.; Rampp, M.; Rossi, M.; Rost, J.-M.; Saalmann, U.; Saxena, A.; Sbailo, L.; Scheffler, M.; Scheidgen, M.; Schloz, M.; Schmidt, D. F.; Teshuva, S.; Trunschke, A.; Wei, Y.; Weikum, G.; Xian, R. P.; Yao, Y.; Zhao, M.: Roadmap on Data-Centric Materials Science. (2024)