Liesche, G.: Multi-Level Analysis and Optimization for Resource-Efficient High Temperature Gas Phase Processes. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2019)

Marichal-Gallardo, P.: Chromatographic purification of biological macromolecules by their capture on hydrophilic surfaces with the aid of non-ionic polymers. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2019)

Münzberg, E.: Of proteins and lipids: A molecular dynamics study of membrane-bound Rab5. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2019)

Pischel, D.: Computergestützte Untersuchung stochastischer biochemischer Reaktionssysteme. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2019)

Schneider, E.: Mathematische Modellierung und Simulation von in-silico Protozellen nach dem Modularisierungs- und Baukastenprinzip. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2019)

Tapia, F.: Continuous upstream processing for cell culture-derived virus production. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2019)

Aydin, E.: Tailored Indirect Algorithms for Efficient On-line Optimization of Batch and Semi-Batch Processes. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Buchholz, H. K.: Solid-Liquid Phase Equilibria of Chiral Molecules - Theory and Experiment. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Eisenschmidt, H.: A Cyclic Growth-Dissolution Process for the Controlled Manipulation of Crystal Shape Distributions. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Goyal, P. K.: System-Theoretic Model Order Reduction for Bilinear and Quadratic-Bilinear Control Systems. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Ludwig, K.: Assessment of Innovative Downstream Processing Methods for Microalgal β-carotene Production. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Schulze, P.: Lignin Separation from Ethanol Water Pulping Liquors. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Trautwein, C.: Optimal Control Problems Constrained by Stochastic Partial Differential Equations. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Wenzel, M.: Reverse Water-Gas Shift Chemical Looping for Syngas Production from CO₂. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Zinser, A.: Dynamic Methods for Thermodynamic Equilibrium Calculations in Process Simulation and Process Optimization. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)

Vidaković-Koch, T.: Bioelectrochemical systems for energy and materials conversion. Habilitation, Otto-von-Guericke-Universität, Magdeburg (2018)

Benner, P.; Mena, H.; Schneider, R.: Drugs, Herbicides, and Numerical Simulation (Snapshots of modern mathematics from Oberwolfach, 10). (2014), 9 pp.

Benner, P.; Grivet-Talocia, S.; Quarteroni, A.; Rozza, G.; Schilders, W.; Silveira, L. M.: Preface to the third Volume of Model Order Reduction. Model Order Reduction: Volume 3: Applications, pp. V - VI (2021)

Benner, P.; Grivet-Talocia, S.; Quarteroni, A.; Rozza, G.; Schilders, W.; Silveira, L. M.: Preface to the second Volume of Model Order Reduction. Model Order Reduction: Volume 2: Snapshot-Based Methods and Algorithms, pp. V - VI (2021)

Benner, P.; Grivet-Talocia, S.; Quarteroni, A.; Rozza, G.; Schilders, W.; Silveira, L. M.: Preface to the first Volume of Model Order Reduction. Model Order Reduction: Volume 1: System- and Data-Driven Methods and Algorithms, pp. V - VIII (2021)

Benner, P.; Quintana-Ortì, E.; Saak, J.: Introduction to the Special Issue related to the Power Aware Computing Workshop 2019 — PACO 2019. International Journal of High Performance Computing Applications 35 (3), pp. 209 - 210 (2021)

Temmel, E.; Lorenz, H.: Advances in Industrial Crystallization. Advances in Industrial Crystallization, pp. 1 - 4 (2021)

Vidaković-Koch, T.: Editorial on Special Issue Electrolysis Processes. Processes 8 (5), 578, p. 578 (2020)

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)

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)

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)

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)

Baran, B.; Benner, P.; Saak, J.: Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)

Kergus, P.; Gosea, I. V.: Data-driven approximation and reduction from noisy data in matrix pencil frameworks. (2022)

Liang, B.; Mitchell, T.; Sun, J.: NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)

Goyal, P. K.; Benner, P.: LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)

Goyal, P. K.; Benner, P.: Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. (2021)

Goyal, P. K.; Benner, P.: Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)

Kweyu, C. M.; Khoromskaia, V.; Khoromskij, B.; Stein, M.; Benner, P.: Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)