Klus, S., Nüske, F., Koltai, P., Wu, H., Kevrekidis, I., Schütte, C., &; Noé, F. (2018). Data-Driven Model Reduction and Transfer Operator Approximation. Journal of Nonlinear Science, 985–1010.https://doi.org/10.1007/s00332-017-9437-7 
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Boninsegna, L., Nüske, F., &; Clementi, C. (2018). Sparse learning of stochastic dynamical equations. The Journal of Chemical Physics.https://doi.org/10.1063/1.5018409 
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Hruska, E., Abella, J. R., Nüske, F., Kavraki, L. E., &; Clementi, C. (2018). Quantitative comparison of adaptive sampling methods for protein dynamics. The Journal of Chemical Physics.https://doi.org/10.1063/1.5053582 
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Schumacher, J. (2018). Semiotische Analyse von Sinnkonstruktionsprozessen bei einem innermathematischen Zugang zum Erlernen negativer Zahlen. In Fachgruppe Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018. Münster: WTM-Verlag.
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Liebendörfer, M. (2018). Psychologische Grundbedürfnisse im frühen Mathematikstudium. In F. Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018 (pp. 1171–1174). Münster: WTM-Verlag.
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Liebendörfer, M., Kuklinski, C., &; Hochmuth, R. (2018). Auswirkungen von innovativen Vorlesungen für Lehramtsstudierende in der Studieneingangsphase. In F. Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018 (pp. 1175–1178). Münster: WTM-Verlag.
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Liebendörfer, M. (2018). Motivationsentwicklung im Mathematikstudium. Wiesbaden: Springer Fachmedien Wiesbaden.https://doi.org/10.1007/978-3-658-22507-0 
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Gebken, B., Peitz, S., &; Dellnitz, M. (2018). A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems. In Numerical and Evolutionary Optimization – NEO 2017. Cham.https://doi.org/10.1007/978-3-319-96104-0_2 
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Peitz, S., &; Dellnitz, M. (2018). A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction. Mathematical and Computational Applications, 23(2).https://doi.org/10.3390/mca23020030 
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Beermann, D., Dellnitz, M., Peitz, S., &; Volkwein, S. (2018). Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition. In Reduced-Order Modeling (ROM) for Simulation and Optimization (pp. 47–72). Cham.https://doi.org/10.1007/978-3-319-75319-5_3 
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Klus, S., Gelß, P., Peitz, S., &; Schütte, C. (2018). Tensor-based dynamic mode decomposition. Nonlinearity, 31(7), 3359–3380.https://doi.org/10.1088/1361-6544/aabc8f 
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Beermann, D., Dellnitz, M., Peitz, S., &; Volkwein, S. (2018). POD-based multiobjective optimal control of PDEs with non-smooth objectives. In PAMM (pp. 51–54).https://doi.org/10.1002/pamm.201710015 
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Feldmann, N., Jurgelucks, B., Claes, L., &; Henning, B. (2018). Vollständige Charakterisierung von piezoelektrischen Scheiben mit Ringelektroden. Workshop “Messtechnische Anwendungen von Ultraschall”, Drübeck.
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Gölz, C., Voelcker-Rehage, C., Mora, K., Reuter, E.-M., Godde, B., Dellnitz, M.,https://doi.org/10.3389/fphys.2018.01540__Vieluf, S. (2018). Improved Neural Control of Movements Manifests in Expertise-Related Differences in Force Output and Brain Network Dynamics. Frontiers in Physiology.https://doi.org/10.3389/fphys.2018.01540 
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Vieluf, S., Mora, K., Gölz, C., Reuter, E.-M., Godde, B., Dellnitz, M.,https://doi.org/10.1016/j.neuroscience.2018.07.025__Voelcker-Rehage, C. (2018). Age- and Expertise-Related Differences of Sensorimotor Network Dynamics during Force Control. Neuroscience, 203–213.https://doi.org/10.1016/j.neuroscience.2018.07.025 
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Bittracher, A., Koltai, P., Klus, S., Banisch, R., Dellnitz, M., &; Schütte, C. (2018). Transition Manifolds of Complex Metastable Systems. Journal of Nonlinear Science, 28, 471–512.https://doi.org/10.1007/s00332-017-9415-0 
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Peitz, S. (2018). Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data. ArXiv:1801.06419.
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Klus, S., Peitz, S., &; Schuster, I. (2018). Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions. ArXiv:1805.10118.
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Fiol, M. A., Mazzuoccolo, G., &; Steffen, E. (2018). Measures of Edge-Uncolorability of Cubic Graphs. The Electronic Journal of Combinatorics, 25(4).
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Jin, L., Mazzuoccolo, G., &; Steffen, E. (2018). Cores, joins  and the Fano-flow conjectures. Discussiones Mathematicae Graph Theory, 38, 165–175.https://doi.org/10.7151/dmgt.1999 
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