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8 Publications
2025 | Preprint | LibreCat-ID: 59880
Wohlleben, M. C., Schütte, J., Berkemeier, M. B., Peitz, S., & Sextro, W. (2025). Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings. Springer Science and Business Media LLC.
LibreCat
2025 | Preprint | LibreCat-ID: 60881
Wohlleben, M. C., Linneweber, J. M., Schütte, J., & Sextro, W. (2025). Enabling Hybrid Modeling in Commercial MBS Software: A Force-Level Approach. MDPI AG.
LibreCat
2025 | Journal Article | LibreCat-ID: 57829
de Payrebrune, K. M., Flaßkamp, K., Ströhla, T., Sattel, T., Bestle, D., Röder, B., Eberhard, P., Peitz, S., Stoffel, M., Rutwik, G., Aditya, B., Wohlleben, M. C., Sextro, W., Raff, M., Remy, C. D., Yadav, M., Stender, M., van Delden, J., Lüddecke, T., … Blech, C. (2025). The impact of AI on engineering design procedures for dynamical systems. Technische Mechanik - European Journal of Engineering Mechanics, 45(1), 1–23. https://doi.org/10.24352/UB.OVGU-2025-037
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2025 | Book Chapter | LibreCat-ID: 62988
Amakor, A. C., Berkemeier, M. B., Wohlleben, M. C., Sextro, W., & Peitz, S. (2025). Surrogate-Assisted Multi-objective Design of Complex Multibody Systems. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-04555-3_21
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2024 | Journal Article | LibreCat-ID: 56113
Wohlleben, M. C., Röder, B., Ebel, H., Muth, L., Sextro, W., & Eberhard, P. (2024). Hybrid modeling of multibody systems: Comparison of two discrepancy models for trajectory prediction. PAMM, e202400027. https://doi.org/10.1002/pamm.202400027
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2023 | Conference Paper | LibreCat-ID: 46813 | 
Wohlleben, M. C., Muth, L., Peitz, S., & Sextro, W. (2023). Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits. Proceedings in Applied Mathematics and Mechanics. https://doi.org/10.1002/pamm.202300039
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2022 | Book Chapter | LibreCat-ID: 29727
Wohlleben, M. C., Bender, A., Peitz, S., & Sextro, W. (2022). Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction. In Machine Learning, Optimization, and Data Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-95470-3_8
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2021 | Conference Paper | LibreCat-ID: 27111 |
Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., & Sextro, W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, & O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1, pp. 527–536). https://doi.org/10.36001/phme.2021.v6i1.3042
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