OA Publications of the Max Planck Institute

Thesis - PhD

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

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Thesis - PhD

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

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2018

Thesis - PhD

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

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Thesis - PhD

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

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Thesis - PhD

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

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Thesis - PhD

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

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Thesis - PhD

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

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Thesis - PhD

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

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Thesis - PhD

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

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Thesis - PhD

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

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Thesis - PhD

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

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Thesis - Habilitation (1)

2018

Thesis - Habilitation

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

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Report (1)

2014

Report

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

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Christ, S.; Fritzsch, B.; Grossmann, Y. V.; Kempf, D.; Linxweiler, J.; Löffler, F.; Riedl, L.; Thiele, J. P.; Wagner, A. S.; Zanon, L. et al.; Assmann, C.; Brömmel, D.; Caspart, R.; Dogan, M.; Fillinger, S.; Frangenberg, J.; Franke, M.; Frey, A.; Hagenberg, J.; Haupt, C.; Kushnarenko, V.; Neuwirth, S.; Ribizel, T.; Saak, J.; Schieberle, A.; Schima-Voigt, K.; Schmidt, P.; Seibold, H.; Speck, R.; Vleugel, M.; Wellmann, A.; Wieder, P.; Wittke, S.: Code for Science: Bessere Forschung durch bessere Forschungssoftwarekompetenzen, Zenodo, (2025)

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Editorial (6)

2021

Editorial

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)

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Editorial

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)

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Editorial

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)

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Editorial

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)

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Editorial

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

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2020

Editorial

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

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Preprint (74)

2025

Preprint

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

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Preprint

Cao, S.; Nüske, F.; Liu, B.; Soley, M.; Huang, X.: AMUSET-TICA: A Tensor-Based Approach for Identifying Slow Collective Variables in Biomolecular Dynamics. (2025)

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Preprint

Chang Dominguez, D.; Dam, A. P.; Richter, T.; Sundmacher, K.; Alia, S. M.: Application of a Temporal Multiscale Method for Efficient Simulation of Degradation in PEM Water Electrolysis under Dynamic Operation. Computers and Chemical Engineering 198, 109083 (2025)

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Preprint

Gkimisis, L.; Aretz, N.; Tezzele, M.; Richter, T.; Benner, P.; Willcox, K. E.: Non-Intrusive Reduced-Order Modeling for Dynamical Systems with Spatially Localized Features. (2025)

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Preprint

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

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Preprint

Mlinarić, P.; Benner, P.; Gugercin, S.: Interpolatory H₂-Optimality Conditions for Structured Linear Time-invariant Systems. SIAM Journal on Numerical Analysis (accepted)

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Preprint

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

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Preprint

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

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Preprint

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

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ZIP

2024

Preprint

Averkov, G.; Peters, B.; Sager, S.: Sparse convex relaxations in polynomial optimization. (2024)

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Preprint

Banga, J. R.; Sager, S.: Generalized Inverse Optimal Control and its Application in Biology. (2024)

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Preprint

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

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Preprint

Carson, E.; Chen, X.; Liu, X.: Computing k-means in mixed precision. (2024)

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Preprint

Carson, E.; Chen, X.; Liu, X.: Mixed Precision HODLR Matrices. (2024)

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Preprint

Carson, E.; Lund, K.; Ma, Y.; Oktay, E.: On the Loss of Orthogonality in Low-Synchronization Variants of Reorthogonalized Block Classical Gram-Schmidt. (2024)

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Preprint

Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)

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Preprint

Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)

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Preprint

Forootani, A.; Benner, P.: GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations. (2024)

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Preprint

Forootani, A.; Kapadia, H.; Chellappa, S.; Goyal, P. K.; Benner, P.: GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations. (2024)

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Preprint

Harder, H.; Peitz, S.; Nüske, F.; Philipp, F. M.; Schaller, M.; Worthmann, K.: Group-Convolutional Extended Dynamic Mode Decomposition. (2024)

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Preprint

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

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Preprint

Hellwig, P.; Dittrich, A.; Heyer, R.; Reichl, U.; Benndorf, D.: Detection, isolation and characterisation of phage-host complexes using BONCAT and click chemistry. bioRxiv (2024)

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Preprint

Karsten, C. B.; Buettner, F. F. R.; Cajic, S.; Nehlmeier, I.; Roshani, B.; Klippert, A.; Sauermann, U.; Stolte-Leeb, N.; Reichl, U.; Gerardy-Schahn, R. et al.; Rapp, E.; Stahl-Hennig, C.; Pöhlmann, S.: Macrophage- and CD4+ T cell-derived SIV differ in glycosylation, infectivity and neutralization sensitivity. bioRxiv (2024)

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Preprint

Khorrami, M. S.; Goyal, P. K.; Mianroodi, J. R.; Svendsen, B.; Benner, P.; Raabe, D.: Divergence-free Neural Operators for Stress Field Modeling in Polycrystalline Materials. (2024)

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Preprint

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

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Preprint

Nateghi, V.; Nüske, F.: Kinetically Consistent Coarse Graining using Kernel-based Extended Dynamic Mode Decomposition. (2024)

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Preprint

Naumann, C.; Kumar, T. S.; Vettermann, J.; Geist, A.; Saak, J.; Benner, P.; Ihlenfeldt, S.: Training of Artificial Neural Networks with Reduced-Order Models for the Prediction of Thermal Errors on Machine Tools. Research Square (2024)

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Preprint

Pelling, A. J. R.; Cherifi, K.; Gosea, I. V.; Sarradj, E.: Snapshot-driven Rational Interpolation of Parametric Systems. (2024)

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Preprint

Peterson, L.; Forootani, A.; Sanchez Medina, E. I.; Gosea, I. V.; Sundmacher, K.; Benner, P.: Towards Digital Twins for Power-to-X: Comparing Surrogate Models for a Catalytic CO2 Methanation Reactor. TechRxiv (2024)

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