Pardo Cacho, J.: Process development for the biocatalytic synthesis of CMP-Neu5Ac. Master, Otto-von-Guericke-Universität, Magdeburg (2023)

Shih, Y.-T.: The expression of different alpha-L-fucosidases in Escherichia coli and the evaluation of its defucosylation activity on isolated N-glycans and glycoproteins. Master, Technische Universität, München (2023)

Sultan Mohideen, M.A.H.: Development of a packed foam bed bioreactor for biological methanation. Master, Otto-von-Guericke-Universität Magdeburg, Magdeburg (2023)

Vhora, K.: CFD Simulation of an Absorber for CO2 Direct Air Capture. Master (2023)

Witzlack, L.: Experimentelle Optimierung und Hochskalierung eines Prozesses zur Herstellung großer Mengen immobilisierter Aminosäuren-Racemase. Master (2023)

Wormstall, S.-T.: Optimierung der Prozessparameter einer Multienzymkaskade zur Synthese des Nukleotidzuckers Uridindiphosphat N-Acetylgalactosamin. Master, Otto-von-Guericke-Universität Magdeburg, Magdeburg (2023)

Rössig, M.-L.: Stability analysis of a chimeric yellow fever-Zika vaccine construct. Bachelor, Otto-von-Guericke-Universität, Magdeburg (2023)

Thomas, L.: Prozessetablierung zur Synthese kurzkettiger und linearer Humaner Milch Oligosaccharide mittels rekombinanter Enzyme. Bachelor, Otto-von-Guericke-Universität, Magdeburg (2023)

Wicke, E.: Influenza A Virusproduktion in monoklonalen MDCK-Suspensionszelllinien in Hochzelldichte. Bachelor, Otto-von-Guericke-Universität, Magdeburg (2023)

Temmel, E.; Schröder, T.; Eisenschmidt, H.; Franz, D.; Haltenhof, S.; Seidel-Morgenstern, A.; Sundmacher, K.: Durchflussmesszelle. DE102019132218B4 (2023)

Aumann, Q.; Werner, S. W. R.: Adaptive Choice of Near-Optimal Expansion Points for Interpolation-Based Structure-Preserving Model Reduction. (2023)

Das, A.; Heiland, J.: Low-order Linear Parameter Varying Approximations for Nonlinear Controller Design for Flows. (2023)

Forootani, A.; Goyal, P. K.; Benner, P.: A Robust SINDy Approach by Combining Neural Networks and an Integral Form. (2023)

Goyal, P. K.; Pontes Duff, I.; Benner, P.: Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)

Goyal, P. K.; Pontes Duff, I.; Benner, P.: Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)

Goyal, P. K.; Yildiz, S.; Benner, P.: Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. (2023)

Kergus, P.; Gosea, I. V.; Petreczky, M.: Loewner Functions for Bilinear Systems. (2023)

Kour, K.; Dolgov, S.; Benner, P.; Stoll, M.; Pfeffer, M.: A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)

Lund, K.; Palitta, D.: Low-rank-modified Galerkin Methods for the Lyapunov Equation. (2023)

Mlinarić, P.; Benner, P.; Gugercin, S.: Interpolatory H₂-Optimality Conditions for Structured Linear Time-invariant Systems. (2023)

Palitta, D.; Tomljanović, Z.; Nakić, I.; Saak, J.: Efficient Solution of Sequences of Parametrized Lyapunov Equations with Applications. (2023)

Peitz, S.; Harder, H.; Nüske, F.; Philipp, F.; Schaller, M.; Worthmann, K.: Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems. (2023)

Philipp, F.; Schaller, M.; Worthmann, K.; Peitz, S.; Nüske, F.: Error analysis of kernel EDMD for prediction and control in the Koopman framework. (2023)

Reiter, S.; Gosea, I. V.; Gugercin, S.: Generalizations of Data-Driven Balancing: What to Sample for Different Balancing-Based Reduced Models. (2023)

Savchenko, M. O.; Skrypnik, I. I.; Yevgenieva, Y.: A Note on the Weak Harnack Inequality for Unbounded Minimizers of Elliptic Functionals with Generalized Orlicz Growth. (2023)

Sun, S.; Feng, L.; Chan, H. S.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)

Yildiz, S.; Goyal, P. K.; Bendokat, T.; Benner, P.: Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. (2023)

Yildiz, S.; Goyal, P. K.; Benner, P.: Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)

Yongho, K.; Heiland, J.: Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations. (2023)

Zhang, J.; Heiland, J.; Benner, P.; Du, X.: Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. (2023)

Zuyev, A.; Benner, P.: Iterative Approximations of Periodic Trajectories for Nonlinear Systems with Discontinuous Inputs. (2023)

Benner, P.; Saak, J.; Werner, S. W. R.: MORLAB-6.0 - Model Order Reduction Laboratory. (2023)

Köhler, M.: libUFget - The UF Sparse Collection C interface 1.3.0. (2023)

Köhler, M.: libUFget - The UF Sparse Collection C interface 1.3.1. (2023)

Saak, J.; Köhler, M.; Benner, P.: M-M.E.S.S.-3.0 – the Matrix Equations Sparse Solvers Library. (2023)