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1914 Publications
2024 | Journal Article | LibreCat-ID: 55737
Barkhofen, Sonja, et al. “Experimental Observation of Topological Quantum Criticality.” Physical Review Research, vol. 6, no. 3, 033194, American Physical Society (APS), 2024, doi:10.1103/physrevresearch.6.033194.
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2024 | Conference Paper | LibreCat-ID: 56207 | 
Rupp, Daniel, et al. “Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows.” Proceedings of the GI VR/AR Workshop 2024, Gesellschaft für Informatik e.V., 2024, doi:10.18420/vrar2024_0006.
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2024 | Conference Paper | LibreCat-ID: 56155 |
Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness.” Findings of the Association for Computational Linguistics ACL 2024, edited by Lun-Wei Ku et al., Association for Computational Linguistics, 2024, pp. 9294–9313.
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2024 | Journal Article | LibreCat-ID: 56678
Alibakhshi, Amin, and Lars V. Schäfer. “Electron Iso-Density Surfaces Provide a Thermodynamically Consistent Representation of Atomic and Molecular Surfaces.” Nature Communications, vol. 15, no. 1, 6086, Springer Science and Business Media LLC, 2024, doi:10.1038/s41467-024-50408-8.
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2024 | Dissertation | LibreCat-ID: 54552
Malena, Kevin. Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems. Heinz Nixdorf Institut, Universität Paderborn, 2024, doi:10.17619/UNIPB/1-2021.
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2024 | Journal Article | LibreCat-ID: 56848 |
Schönhärl, Korinna. “‘Contributing Means Investing in Spain’ – Media Campaigns on Tax Education in Spain after the Transition to Democracy.” Themenportal Europäische Geschichte, 2024.
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2024 | Conference Paper | LibreCat-ID: 56888
Gruchel, Nicole, et al. Digitale Häusliche Lernumwelt – Veränderungen Der Elterlichen Unterstützung Bei Der Informationsorientierten Internetnutzung von Fünft- Und Siebtklässler*innen . 2024.
LibreCat
2024 | Dissertation | LibreCat-ID: 56940
Götte, Ricarda-Samantha. Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit. 2024, doi:10.17619/UNIPB/1-2066.
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2024 | Misc | LibreCat-ID: 58325
Autsch, Sabiene. Micro Archives. Künstlerische Arbeiten 2019-2024. . Edition Imorde , 2024.
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2024 | Conference Paper | LibreCat-ID: 58384
Kraus, Christian, et al. “Development of New Strategies for the Mechanical Joining of Components Made of Aluminum Die Casting.” Materials Research Proceedings, vol. 41, Materials Research Forum LLC, 2024, doi:10.21741/9781644903131-190.
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2024 | Journal Article | LibreCat-ID: 58421
von Enzberg, Sebastian, et al. “On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions.” Procedia CIRP, vol. 130, Elsevier BV, 2024, pp. 1454–61, doi:10.1016/j.procir.2024.10.266.
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2024 | Preprint | LibreCat-ID: 58441
Wippermann, Jan, and Gerson Meschut. Numerical Modeling of Clamp Load Relaxation of Plastic Nuts under Varying Moisture and Fiber Content. Springer Science and Business Media LLC, 2024.
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2024 | Dissertation | LibreCat-ID: 58448 |
Hesse, Michael. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Heinz Nixdorf Institut, 2024, doi:10.17619/UNIPB/1-2135.
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2024 | Journal Article | LibreCat-ID: 58491
Friedlein, Johannes, et al. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” Journal of Manufacturing and Materials Processing, vol. 8, no. 4, 157, MDPI AG, 2024, doi:10.3390/jmmp8040157.
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2024 | Journal Article | LibreCat-ID: 49652 |
Hempel, Franz, et al. “Comparing Transmission- and Epi-BCARS: A Round Robin on Solid-State Materials.” Applied Optics, vol. 63, no. 1, 112, Optica Publishing Group, 2024, doi:10.1364/ao.505374.
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2024 | Journal Article | LibreCat-ID: 59585
Friedlein, Johannes, et al. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” Journal of Manufacturing and Materials Processing, vol. 8, no. 4, 157, MDPI AG, 2024, doi:10.3390/jmmp8040157.
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2024 | Journal Article | LibreCat-ID: 60047
Wenzel, Charlotte, et al. “Machine Learning Predicts Peak Oxygen Uptake and Peak Power Output for Customizing Cardiopulmonary Exercise Testing Using Non-Exercise Features.” European Journal of Applied Physiology, vol. 124, no. 11, Springer Science and Business Media LLC, 2024, pp. 3421–31, doi:10.1007/s00421-024-05543-x.
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