Suchergebnisse

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)

Benner, P.; Filanova, Y.; Pontes Duff, I.; Saak, J.: Application of operator inference to reduced-order modeling of constrained mechanical systems. (2025)

Przybilla, J.; Ugrica Vukojević, M.; Truhar, N.; Benner, P.: An Adaptive Scheme for the Optimization of Damping Positions by Decoupling Controllability Spaces in Vibrational Systems. (2025)

Antoulas, A. C.; Gosea, I. V.; Poussot-Vassal, C.; Vuillemin, P.: Tensor-based Multivariate Function Approximation: Methods Benchmarking and Comparison. (2025)

Manvelyan-Stroot, D.; Filanova, Y.; Pontes Duff, I.; Benner, P.; Wever, U.: Inference of Substructured Reduced-Order Models for Dynamic Contact from Contact-free Simulations. (2025)

Savchenko, M.; Skrypnik, I.; Yevgenieva, Y.: On the Continuity of Solutions to the Anisotropic N-Laplacian with L¹ Lower Order Term. (2025)

Reiter, S.; Gosea, I. V.; Pontes Duff, I.; Gugercin, S.: H₂-Optimal Model Reduction of Linear Quadratic-Output Systems by Multivariate Rational Interpolation. (2025)

Gkimisis, L.; Yildiz, S.; Benner, P.; Richter, T.: A CFL-type Condition and Theoretical Insights for Discrete-Time Sparse Full-Order Model Inference. (2025)

Kapadia, H.; Benner, P.; Feng, L.: Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems. (2025)

Sun, S.; Feng, L.; Benner, P.: Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs. (2025)

Gkimisis, L.; Pontes Duff, I.; Goyal, P. K.; Benner, P.: On the Representation of Energy-Preserving Quadratic Operators with Application to Operator Inference. (2025)

Benner, P.; Khoromskij, B. N.; Khoromskaia, V.; Sun, B.: A Mesh-Free Hybrid Chebyshev-Tucker Tensor Format with Applications to Multi-Particle Modelling. (2025)

Sanchez Medina, E. I.; Sundmacher, K.: Graph Neural Networks embedded into Margules model for vapor-liquid equilibria prediction. (2025)

Monem Abdelhafez, S.; Benner, P.; Lessig, C.: SIGGRAPH: G: Improved Projective Dynamics Global Using Snapshots-based Reduced Bases. (2025)

Plate, C.; Hahn, M.; Klimek, A.; Ganzer, C.; Sundmacher, K.; Sager, S.: An analysis of optimization problems involving ReLU neural networks. (2025)