[{"department":[{"_id":"76"}],"type":"conference","date_created":"2024-05-06T11:49:22Z","abstract":[{"text":"In light of the growing interest in type inference research for Python, both researchers and practitioners require a standardized process to assess the performance of various type inference techniques. This paper introduces TypeEvalPy, a comprehensive micro-benchmarking framework for evaluating type inference tools. TypeEvalPy contains 154 code snippets with 845 type annotations across 18 categories that target various Python features. The framework manages the execution of containerized tools, transforms inferred types into a standardized format, and produces meaningful metrics for assessment. Through our analysis, we compare the performance of six type inference tools, highlighting their strengths and limitations. Our findings provide a foundation for further research and optimization in the domain of Python type inference.","lang":"eng"}],"publication":"Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings","doi":"10.1145/3639478.3640033","language":[{"iso":"eng"}],"series_title":"ICSE-Companion 24","date_updated":"2024-08-05T07:49:33Z","publication_identifier":{"isbn":["9798400705021"]},"author":[{"id":"66637","full_name":"Shivarpatna Venkatesh, Ashwin Prasad","last_name":"Shivarpatna Venkatesh","first_name":"Ashwin Prasad"},{"full_name":"Sabu, Samkutty","last_name":"Sabu","first_name":"Samkutty"},{"full_name":"Wang, Jiawei","last_name":"Wang","first_name":"Jiawei"},{"last_name":"Mir","first_name":"Amir M.","full_name":"Mir, Amir M."},{"full_name":"Li, Li","last_name":"Li","first_name":"Li"},{"last_name":"Bodden","first_name":"Eric","orcid":"0000-0003-3470-3647","full_name":"Bodden, Eric","id":"59256"}],"year":"2024","title":"TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools","place":"New York, NY, USA","external_id":{"arxiv":["2312.16882"]},"citation":{"ieee":"A. P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A. M. Mir, L. Li, and E. Bodden, “TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools,” in Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Lisbon, Portugal, 2024, pp. 49–53, doi: 10.1145/3639478.3640033.","apa":"Shivarpatna Venkatesh, A. P., Sabu, S., Wang, J., Mir, A. M., Li, L., & Bodden, E. (2024). TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools. Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 49–53. https://doi.org/10.1145/3639478.3640033","short":"A.P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A.M. Mir, L. Li, E. Bodden, in: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Association for Computing Machinery, New York, NY, USA, 2024, pp. 49–53.","chicago":"Shivarpatna Venkatesh, Ashwin Prasad, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, and Eric Bodden. “TypeEvalPy: A Micro-Benchmarking Framework for Python Type Inference Tools.” In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 49–53. ICSE-Companion 24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3639478.3640033.","mla":"Shivarpatna Venkatesh, Ashwin Prasad, et al. “TypeEvalPy: A Micro-Benchmarking Framework for Python Type Inference Tools.” Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Association for Computing Machinery, 2024, pp. 49–53, doi:10.1145/3639478.3640033.","bibtex":"@inproceedings{Shivarpatna Venkatesh_Sabu_Wang_Mir_Li_Bodden_2024, place={New York, NY, USA}, series={ICSE-Companion 24}, title={TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools}, DOI={10.1145/3639478.3640033}, booktitle={Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings}, publisher={Association for Computing Machinery}, author={Shivarpatna Venkatesh, Ashwin Prasad and Sabu, Samkutty and Wang, Jiawei and Mir, Amir M. and Li, Li and Bodden, Eric}, year={2024}, pages={49–53}, collection={ICSE-Companion 24} }","ama":"Shivarpatna Venkatesh AP, Sabu S, Wang J, Mir AM, Li L, Bodden E. TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools. In: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings. ICSE-Companion 24. Association for Computing Machinery; 2024:49-53. doi:10.1145/3639478.3640033"},"user_id":"15249","publisher":"Association for Computing Machinery","_id":"53959","page":"49-53","conference":{"location":"Lisbon, Portugal"},"status":"public"},{"_id":"56207","publisher":"Gesellschaft für Informatik e.V.","user_id":"405","conference":{"end_date":"18.09.2024","name":"GI VR/AR Workshop 2024","start_date":"17.09.2024","location":"Hamburg"},"status":"public","oa":"1","citation":{"mla":"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.","ama":"Rupp D, Kuhlen TW, Rarbach S, et al. Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows. In: Proceedings of the GI VR/AR Workshop 2024. Gesellschaft für Informatik e.V.; 2024. doi:10.18420/vrar2024_0006","bibtex":"@inproceedings{Rupp_Kuhlen_Rarbach_Wiechel_Pottebaum_Weidemann_Tran_Day_Zielinski_König_et al._2024, title={Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows}, DOI={10.18420/vrar2024_0006}, booktitle={Proceedings of the GI VR/AR Workshop 2024}, publisher={Gesellschaft für Informatik e.V.}, author={Rupp, Daniel and Kuhlen, Torsten W. and Rarbach, Sven and Wiechel, Dominik and Pottebaum, Jens and Weidemann, Tizia and Tran, Duc Thanh and Day, Robin and Zielinski, Jonas and König, Valentina and et al.}, year={2024} }","apa":"Rupp, D., Kuhlen, T. W., Rarbach, S., Wiechel, D., Pottebaum, J., Weidemann, T., Tran, D. T., Day, R., Zielinski, J., König, V., Bremer, J., Kosche, T., Grimm, A., Bergs, T., Gräßler, I., & Weissker, T. (2024). Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows. Proceedings of the GI VR/AR Workshop 2024. GI VR/AR Workshop 2024, Hamburg. https://doi.org/10.18420/vrar2024_0006","ieee":"D. Rupp et al., “Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows,” presented at the GI VR/AR Workshop 2024, Hamburg, 2024, doi: 10.18420/vrar2024_0006.","chicago":"Rupp, Daniel, Torsten W. Kuhlen, Sven Rarbach, Dominik Wiechel, Jens Pottebaum, Tizia Weidemann, Duc Thanh Tran, et al. “Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows.” In Proceedings of the GI VR/AR Workshop 2024. Gesellschaft für Informatik e.V., 2024. https://doi.org/10.18420/vrar2024_0006.","short":"D. Rupp, T.W. Kuhlen, S. Rarbach, D. Wiechel, J. Pottebaum, T. Weidemann, D.T. Tran, R. Day, J. Zielinski, V. König, J. Bremer, T. Kosche, A. Grimm, T. Bergs, I. Gräßler, T. Weissker, in: Proceedings of the GI VR/AR Workshop 2024, Gesellschaft für Informatik e.V., 2024."},"project":[{"name":"Vitamine 5G - Realitätsnahe Umgebung für Additive Fertigung, ermöglicht durch 5G","_id":"684"}],"quality_controlled":"1","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1"}],"doi":"10.18420/vrar2024_0006","author":[{"full_name":"Rupp, Daniel","first_name":"Daniel","last_name":"Rupp"},{"full_name":"Kuhlen, Torsten W.","first_name":"Torsten W.","last_name":"Kuhlen"},{"first_name":"Sven","last_name":"Rarbach","full_name":"Rarbach, Sven","id":"67999"},{"full_name":"Wiechel, Dominik","last_name":"Wiechel","first_name":"Dominik","id":"67161"},{"full_name":"Pottebaum, Jens","last_name":"Pottebaum","first_name":"Jens","orcid":"http://orcid.org/0000-0001-8778-2989","id":"405"},{"full_name":"Weidemann, Tizia","last_name":"Weidemann","first_name":"Tizia"},{"last_name":"Tran","first_name":"Duc Thanh","full_name":"Tran, Duc Thanh"},{"last_name":"Day","first_name":"Robin","full_name":"Day, Robin"},{"full_name":"Zielinski, Jonas","first_name":"Jonas","last_name":"Zielinski"},{"full_name":"König, Valentina","first_name":"Valentina","last_name":"König"},{"full_name":"Bremer, Jan","last_name":"Bremer","first_name":"Jan"},{"first_name":"Thomas","last_name":"Kosche","full_name":"Kosche, Thomas"},{"full_name":"Grimm, Andreas","last_name":"Grimm","first_name":"Andreas"},{"last_name":"Bergs","first_name":"Thomas","full_name":"Bergs, Thomas"},{"full_name":"Gräßler, Iris","orcid":"0000-0001-5765-971X","first_name":"Iris","last_name":"Gräßler","id":"47565"},{"last_name":"Weissker","first_name":"Tim","full_name":"Weissker, Tim"}],"year":"2024","title":"Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows","publication_status":"published","date_updated":"2024-09-23T09:31:14Z","date_created":"2024-09-23T09:30:34Z","department":[{"_id":"152"}],"type":"conference","publication":"Proceedings of the GI VR/AR Workshop 2024","abstract":[{"text":"We present a data acquisition and visualization pipeline that allows experts to monitor additive manufacturing processes, in particular laser metal deposition with wire (LMD-w) processes, in immersive virtual reality. Our virtual environment consists of a digital shadow of the LMD-w production site enriched with additional measurement data shown on both static as well as handheld virtual displays. Users can explore the production site by enhanced teleportation capabilities that enable them to change their scale as well as their elevation above the ground plane. In an exploratory user study with 22 participants, we demonstrate that our system is generally suitable for the supervision of LMD-w processes while generating low task load and cybersickness. Therefore, it serves as a first promising step towards the successful application of virtual reality technology in the comparatively young field of additive manufacturing.","lang":"eng"}]},{"date_created":"2024-09-24T08:01:14Z","keyword":["Optimization","Evolutionary computation","Approximation algorithms","Benchmark testing","Vectors","Surveys","Pareto optimization","multi-objective optimization","evolutionary computation","multimodal optimization","local solutions"],"type":"journal_article","citation":{"bibtex":"@article{Rodriguez-Fernandez_Schäpermeier_Hernández_Kerschke_Trautmann_Schütze_2024, title={Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}, DOI={10.1109/TEVC.2024.3458855}, journal={IEEE Transactions on Evolutionary Computation}, author={Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver}, year={2024}, pages={1–1} }","ama":"Rodriguez-Fernandez AE, Schäpermeier L, Hernández C, Kerschke P, Trautmann H, Schütze O. Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation. Published online 2024:1-1. doi:10.1109/TEVC.2024.3458855","mla":"Rodriguez-Fernandez, Angel E., et al. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2024, pp. 1–1, doi:10.1109/TEVC.2024.3458855.","chicago":"Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2024, 1–1. https://doi.org/10.1109/TEVC.2024.3458855.","short":"A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.","ieee":"A. E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, and O. Schütze, “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization,” IEEE Transactions on Evolutionary Computation, pp. 1–1, 2024, doi: 10.1109/TEVC.2024.3458855.","apa":"Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H., & Schütze, O. (2024). Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2024.3458855"},"publication":"IEEE Transactions on Evolutionary Computation","_id":"56221","language":[{"iso":"eng"}],"page":"1-1","user_id":"15504","doi":"10.1109/TEVC.2024.3458855","author":[{"last_name":"Rodriguez-Fernandez","first_name":"Angel E.","full_name":"Rodriguez-Fernandez, Angel E."},{"first_name":"Lennart","last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart"},{"full_name":"Hernández, Carlos","first_name":"Carlos","last_name":"Hernández"},{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"},{"first_name":"Oliver","last_name":"Schütze","full_name":"Schütze, Oliver"}],"status":"public","title":"Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization","year":"2024","date_updated":"2024-09-24T08:01:47Z"},{"doi":"10.1109/IJCNN60899.2024.10650994","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/10650994","open_access":"1"}],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2024-09-27T10:24:22Z","title":"Multi-Objective Optimization for Sparse Deep Multi-Task Learning","year":"2024","author":[{"first_name":"Sedjro Salomon","last_name":"Hotegni","full_name":"Hotegni, Sedjro Salomon","id":"97995"},{"full_name":"Berkemeier, Manuel Bastian","last_name":"Berkemeier","first_name":"Manuel Bastian","id":"51701"},{"id":"47427","full_name":"Peitz, Sebastian","first_name":"Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz"}],"publication_identifier":{"eisbn":["979-8-3503-5931-2"],"eissn":[" 2161-4407"]},"type":"conference","department":[{"_id":"655"}],"date_created":"2023-08-24T07:44:36Z","abstract":[{"lang":"eng","text":"Different conflicting optimization criteria arise naturally in various Deep\r\nLearning scenarios. These can address different main tasks (i.e., in the\r\nsetting of Multi-Task Learning), but also main and secondary tasks such as loss\r\nminimization versus sparsity. The usual approach is a simple weighting of the\r\ncriteria, which formally only works in the convex setting. In this paper, we\r\npresent a Multi-Objective Optimization algorithm using a modified Weighted\r\nChebyshev scalarization for training Deep Neural Networks (DNNs) with respect\r\nto several tasks. By employing this scalarization technique, the algorithm can\r\nidentify all optimal solutions of the original problem while reducing its\r\ncomplexity to a sequence of single-objective problems. The simplified problems\r\nare then solved using an Augmented Lagrangian method, enabling the use of\r\npopular optimization techniques such as Adam and Stochastic Gradient Descent,\r\nwhile efficaciously handling constraints. Our work aims to address the\r\n(economical and also ecological) sustainability issue of DNN models, with a\r\nparticular focus on Deep Multi-Task models, which are typically designed with a\r\nvery large number of weights to perform equally well on multiple tasks. Through\r\nexperiments conducted on two Machine Learning datasets, we demonstrate the\r\npossibility of adaptively sparsifying the model during training without\r\nsignificantly impacting its performance, if we are willing to apply\r\ntask-specific adaptations to the network weights. Code is available at\r\nhttps://github.com/salomonhotegni/MDMTN."}],"publication":"2024 International Joint Conference on Neural Networks (IJCNN)","user_id":"97995","page":"9","publisher":"IEEE","_id":"46649","has_accepted_license":"1","status":"public","conference":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start_date":"2024-06-30","location":"Yokohama, Japan","end_date":"2024-07-05"},"oa":"1","place":"Yokohama, Japan","citation":{"chicago":"Hotegni, Sedjro Salomon, Manuel Bastian Berkemeier, and Sebastian Peitz. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” In 2024 International Joint Conference on Neural Networks (IJCNN), 9. Yokohama, Japan: IEEE, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650994.","ama":"Hotegni SS, Berkemeier MB, Peitz S. Multi-Objective Optimization for Sparse Deep Multi-Task Learning. In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE; 2024:9. doi:10.1109/IJCNN60899.2024.10650994","short":"S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.","bibtex":"@inproceedings{Hotegni_Berkemeier_Peitz_2024, place={Yokohama, Japan}, title={Multi-Objective Optimization for Sparse Deep Multi-Task Learning}, DOI={10.1109/IJCNN60899.2024.10650994}, booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, publisher={IEEE}, author={Hotegni, Sedjro Salomon and Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2024}, pages={9} }","mla":"Hotegni, Sedjro Salomon, et al. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, 2024, p. 9, doi:10.1109/IJCNN60899.2024.10650994.","apa":"Hotegni, S. S., Berkemeier, M. B., & Peitz, S. (2024). Multi-Objective Optimization for Sparse Deep Multi-Task Learning. 2024 International Joint Conference on Neural Networks (IJCNN), 9. https://doi.org/10.1109/IJCNN60899.2024.10650994","ieee":"S. S. Hotegni, M. B. Berkemeier, and S. Peitz, “Multi-Objective Optimization for Sparse Deep Multi-Task Learning,” in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, p. 9, doi: 10.1109/IJCNN60899.2024.10650994."}},{"citation":{"mla":"Yang, Keke, et al. “Expulsion Prevention in Resistance Spot Welding of Dissimilar Joints with Ultra-High Strength Steel: An Analysis of the Mechanism and Effect of Preheating Current.” Journal of Manufacturing Processes, vol. 124, Elsevier BV, 2024, pp. 489–502, doi:10.1016/j.jmapro.2024.06.034.","ama":"Yang K, El-Sari B, Olfert V, et al. Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current. Journal of Manufacturing Processes. 2024;124:489-502. doi:10.1016/j.jmapro.2024.06.034","bibtex":"@article{Yang_El-Sari_Olfert_Wang_Biegler_Rethmeier_Meschut_2024, title={Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current}, volume={124}, DOI={10.1016/j.jmapro.2024.06.034}, journal={Journal of Manufacturing Processes}, publisher={Elsevier BV}, author={Yang, Keke and El-Sari, Bassel and Olfert, Viktoria and Wang, Zhuoqun and Biegler, Max and Rethmeier, Michael and Meschut, Gerson}, year={2024}, pages={489–502} }","apa":"Yang, K., El-Sari, B., Olfert, V., Wang, Z., Biegler, M., Rethmeier, M., & Meschut, G. (2024). Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current. Journal of Manufacturing Processes, 124, 489–502. https://doi.org/10.1016/j.jmapro.2024.06.034","ieee":"K. Yang et al., “Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current,” Journal of Manufacturing Processes, vol. 124, pp. 489–502, 2024, doi: 10.1016/j.jmapro.2024.06.034.","chicago":"Yang, Keke, Bassel El-Sari, Viktoria Olfert, Zhuoqun Wang, Max Biegler, Michael Rethmeier, and Gerson Meschut. “Expulsion Prevention in Resistance Spot Welding of Dissimilar Joints with Ultra-High Strength Steel: An Analysis of the Mechanism and Effect of Preheating Current.” Journal of Manufacturing Processes 124 (2024): 489–502. https://doi.org/10.1016/j.jmapro.2024.06.034.","short":"K. Yang, B. El-Sari, V. Olfert, Z. Wang, M. Biegler, M. Rethmeier, G. Meschut, Journal of Manufacturing Processes 124 (2024) 489–502."},"file_date_updated":"2024-06-23T21:59:20Z","quality_controlled":"1","oa":"1","status":"public","has_accepted_license":"1","publisher":"Elsevier BV","_id":"54847","page":"489-502","volume":124,"user_id":"65085","ddc":["670"],"publication":"Journal of Manufacturing Processes","abstract":[{"lang":"eng","text":"The widespread adoption of ultra-high strength steels, due to their high bulk resistivity, intensifies expulsion issues in resistance spot welding (RSW), deteriorating both the spot weld and surface quality. This study presents a novel approach to prevent expulsion by employing a preheating current. Through characteristic analysis of joint formation under critical welding current, the importance of plastic material encapsulation around the weld nugget (plastic shell) at high temperatures in preventing expulsion is highlighted. To evaluate the effect of preheating on the plastic shell and understand its mechanism in expulsion prevention, a two-dimensional welding simulation model for dissimilar ultra-high strength steel joints was established. The results showed that optimal preheating enhances the thickness of the plastic shell, improving its ability to encapsulate the weld nugget during the primary welding phase, thereby diminishing expulsion risks. Experimental validation confirmed that by employing the optimal preheating current, the maximum nugget diameter was enhanced to 9.42 mm, marking an increase of 13.4 % and extending the weldable current range by 27.5 %. Under quasi-static cross-tensile loading, joints with preheating demonstrated a 7.9 % enhancement in maximum load-bearing capacity compared to joints without preheating, showing a reproducible and complete pull-out failure mode within the heat-affected zone. This study offers a prevention method based on underlying mechanisms, providing a new perspective for future research on welding parameter optimization with the aim of expulsion prevention."}],"date_created":"2024-06-23T21:58:29Z","file":[{"date_created":"2024-06-23T21:59:20Z","creator":"kekeyang","success":1,"content_type":"application/pdf","file_id":"54848","date_updated":"2024-06-23T21:59:20Z","relation":"main_file","access_level":"closed","file_size":12432409,"file_name":"1-s2.0-S1526612524006145-main.pdf"}],"department":[{"_id":"157"}],"keyword":["Expulsion Resistance spot welding Finite element modelling Preheating Weldable current range Ultra-high strength steel"],"type":"journal_article","author":[{"id":"65085","last_name":"Yang","first_name":"Keke","orcid":"0000-0001-9201-9304","full_name":"Yang, Keke"},{"first_name":"Bassel","last_name":"El-Sari","full_name":"El-Sari, Bassel"},{"full_name":"Olfert, Viktoria","last_name":"Olfert","first_name":"Viktoria","id":"5974"},{"first_name":"Zhuoqun","last_name":"Wang","full_name":"Wang, Zhuoqun"},{"last_name":"Biegler","first_name":"Max","full_name":"Biegler, Max"},{"full_name":"Rethmeier, Michael","last_name":"Rethmeier","first_name":"Michael"},{"last_name":"Meschut","orcid":"0000-0002-2763-1246","first_name":"Gerson","full_name":"Meschut, Gerson","id":"32056"}],"publication_identifier":{"issn":["1526-6125"]},"title":"Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current","year":"2024","article_type":"original","intvolume":" 124","publication_status":"published","date_updated":"2024-10-18T06:59:27Z","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://www.sciencedirect.com/science/article/pii/S1526612524006145"}],"doi":"10.1016/j.jmapro.2024.06.034"},{"publisher":"Elsevier BV","_id":"55654","language":[{"iso":"eng"}],"article_number":"108838","user_id":"101499","doi":"10.1016/j.compchemeng.2024.108838","publication_identifier":{"issn":["0098-1354"]},"author":[{"last_name":"Röder","first_name":"Lilli Sophia","full_name":"Röder, Lilli Sophia"},{"full_name":"Gröngröft, Arne","first_name":"Arne","last_name":"Gröngröft"},{"full_name":"Grünewald, Marcus","first_name":"Marcus","last_name":"Grünewald"},{"id":"101499","full_name":"Riese, Julia","orcid":"0000-0002-3053-0534","first_name":"Julia","last_name":"Riese"}],"year":"2024","title":"Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation","status":"public","article_type":"original","publication_status":"published","date_updated":"2024-10-22T09:53:02Z","date_created":"2024-08-19T14:30:54Z","department":[{"_id":"831"}],"type":"journal_article","citation":{"mla":"Röder, Lilli Sophia, et al. “Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation.” Computers & Chemical Engineering, 108838, Elsevier BV, 2024, doi:10.1016/j.compchemeng.2024.108838.","ama":"Röder LS, Gröngröft A, Grünewald M, Riese J. Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation. Computers & Chemical Engineering. Published online 2024. doi:10.1016/j.compchemeng.2024.108838","bibtex":"@article{Röder_Gröngröft_Grünewald_Riese_2024, title={Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation}, DOI={10.1016/j.compchemeng.2024.108838}, number={108838}, journal={Computers & Chemical Engineering}, publisher={Elsevier BV}, author={Röder, Lilli Sophia and Gröngröft, Arne and Grünewald, Marcus and Riese, Julia}, year={2024} }","apa":"Röder, L. S., Gröngröft, A., Grünewald, M., & Riese, J. (2024). Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation. Computers & Chemical Engineering, Article 108838. https://doi.org/10.1016/j.compchemeng.2024.108838","ieee":"L. S. Röder, A. Gröngröft, M. Grünewald, and J. Riese, “Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation,” Computers & Chemical Engineering, Art. no. 108838, 2024, doi: 10.1016/j.compchemeng.2024.108838.","short":"L.S. Röder, A. Gröngröft, M. Grünewald, J. Riese, Computers & Chemical Engineering (2024).","chicago":"Röder, Lilli Sophia, Arne Gröngröft, Marcus Grünewald, and Julia Riese. “Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation.” Computers & Chemical Engineering, 2024. https://doi.org/10.1016/j.compchemeng.2024.108838."},"publication":"Computers & Chemical Engineering","quality_controlled":"1"},{"type":"conference","department":[{"_id":"427"}],"date_created":"2024-11-06T08:35:04Z","quality_controlled":"1","abstract":[{"text":"Elterliche Unterstützung bei der Internetnutzung geriet durch die Covid-19-Pandemie stärker in den Fokus, auch wenn diese bereits vor der Pandemie aufgrund der nur langsam fortschreitenden Digitalisierung von Schulen elementar war. Neben der Relevanz der Quantität elterlicher Unterstützung ist in Untersuchungen zur Rolle der Familie für das Lernen mit digitalen Medien auch die Qualität von zentraler Bedeutung (Bonanati et al., 2022). Dabei erwies sich allgemein in der Forschung zur elterlichen Hausaufgabenunterstützung eine autonomieunterstützende, strukturgebende und zugleich wertschätzende Instruktion als besonders gewinnbringend (Dumont et al., 2014). Zudem ist bekannt, dass die elterliche Unterstützung unter anderem auf Grund der steigenden Komplexität der Unterrichtsinhalte, der steigenden Selbstständigkeit sowie dem zunehmenden Autonomiebedürfnis der Lernenden im Schulverlauf abnimmt (Luplow & Schneider, 2018). Wie sich die elterliche Unterstützung bei der informationsorientierten Internetnutzung von Kindern über die Zeit und mit Beginn der Covid-19-Pandemie verändert, ist relevant für den Förderkontext, bislang aber nur wenig betrachtet worden und deshalb Ziel der vorliegenden Untersuchung.\r\nGrundlage der vorliegenden Untersuchung sind längsschnittliche Daten von 395 Schüler*innen sowie 191 Eltern, die im Jahr 2019/2020 in fünften Klassen (~10-11 Jahre) und im Jahr 2021/22 in siebten Klassen (~12-13 Jahre) erhoben wurden. \r\nDie Ergebnisse zeigten eine Abnahme der Quantität elterlicher Instruktion von der fünften zur siebten Jahrgansstufe sowohl aus Eltern- als auch aus Kinderperspektive. Hinsichtlich der Qualität elterlicher Unterstützung berichteten Eltern in der 7. Klassenstufe von weniger autonomieunterstützender Instruktion, während Kinder der 7. Klassenstufe von einer weniger autonomieunterstützenden und wertschätzenden Instruktion berichteten. Weitere Ergebnisse werden in dem Vortrag diskutiert.","lang":"ger"}],"popular_science":"1","citation":{"short":"N. Gruchel, R. Kurock, H.M. Buhl, in: 2024.","ama":"Gruchel N, Kurock R, Buhl HM. Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen . In: ; 2024.","chicago":"Gruchel, Nicole, Ricarda Kurock, and Heike M. Buhl. “Digitale Häusliche Lernumwelt – Veränderungen Der Elterlichen Unterstützung Bei Der Informationsorientierten Internetnutzung von Fünft- Und Siebtklässler*innen ,” 2024.","bibtex":"@inproceedings{Gruchel_Kurock_Buhl_2024, title={Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen }, author={Gruchel, Nicole and Kurock, Ricarda and Buhl, Heike M.}, year={2024} }","apa":"Gruchel, N., Kurock, R., & Buhl, H. M. (2024). Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen . Deutsche Gesellschaft für Psychologie, Wien.","mla":"Gruchel, Nicole, et al. Digitale Häusliche Lernumwelt – Veränderungen Der Elterlichen Unterstützung Bei Der Informationsorientierten Internetnutzung von Fünft- Und Siebtklässler*innen . 2024.","ieee":"N. Gruchel, R. Kurock, and H. M. Buhl, “Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen ,” presented at the Deutsche Gesellschaft für Psychologie, Wien, 2024."},"user_id":"38556","language":[{"iso":"eng"}],"_id":"56888","date_updated":"2024-11-06T10:06:43Z","title":"Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen ","status":"public","year":"2024","author":[{"last_name":"Gruchel","first_name":"Nicole","full_name":"Gruchel, Nicole","id":"38556"},{"id":"78797","first_name":"Ricarda","last_name":"Kurock","full_name":"Kurock, Ricarda"},{"first_name":"Heike M.","last_name":"Buhl","full_name":"Buhl, Heike M."}],"conference":{"end_date":"2024-09-19","location":"Wien","start_date":"2024-09-26","name":"Deutsche Gesellschaft für Psychologie"}},{"citation":{"apa":"Autsch, S. (2024). Micro Archives. Künstlerische Arbeiten 2019-2024. . Edition Imorde .","mla":"Autsch, Sabiene. Micro Archives. Künstlerische Arbeiten 2019-2024. . Edition Imorde , 2024.","ieee":"S. Autsch, Micro Archives. Künstlerische Arbeiten 2019-2024. . Berlin: Edition Imorde , 2024.","short":"S. Autsch, Micro Archives. Künstlerische Arbeiten 2019-2024. , Edition Imorde , Berlin, 2024.","ama":"Autsch S. Micro Archives. Künstlerische Arbeiten 2019-2024. . Edition Imorde ; 2024.","chicago":"Autsch, Sabiene. Micro Archives. Künstlerische Arbeiten 2019-2024. . Berlin: Edition Imorde , 2024.","bibtex":"@book{Autsch_2024, place={Berlin}, title={Micro Archives. Künstlerische Arbeiten 2019-2024. }, publisher={Edition Imorde }, author={Autsch, Sabiene}, year={2024} }"},"date_created":"2025-01-22T13:54:47Z","place":"Berlin","type":"misc","year":"2024","status":"public","title":"Micro Archives. Künstlerische Arbeiten 2019-2024. ","author":[{"first_name":"Sabiene","last_name":"Autsch","full_name":"Autsch, Sabiene","id":"15"}],"publication_status":"published","date_updated":"2025-01-22T13:54:55Z","_id":"58325","publisher":"Edition Imorde ","language":[{"iso":"ger"}],"user_id":"89836","alternative_title":["Mit Texten von Jens Schröter und Michael Kröger. 80 farbige Abb. [= Katalog anlässlich der gleichnamigen Ausstellung im Kunstverein Paderborn. 22. März bis 5. Mai 2024]."]},{"type":"conference","department":[{"_id":"819"}],"date_created":"2025-01-23T12:39:37Z","publication":"Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers","citation":{"mla":"Seiler, Moritz, et al. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa et al., vol. 14990, Springer, 2024, pp. 361–376, doi:10.1007/978-3-031-75623-8_29.","bibtex":"@inproceedings{Seiler_Skvorc_Doerr_Trautmann_2024, series={Lecture Notes in Computer Science}, title={Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection}, volume={14990}, DOI={10.1007/978-3-031-75623-8_29}, booktitle={Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers}, publisher={Springer}, author={Seiler, Moritz and Skvorc, Urban and Doerr, Carola and Trautmann, Heike}, editor={Festa, Paola and Ferone, Daniele and Pastore, Tommaso and Pisacane, Ornella}, year={2024}, pages={361–376}, collection={Lecture Notes in Computer Science} }","ama":"Seiler M, Skvorc U, Doerr C, Trautmann H. Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. In: Festa P, Ferone D, Pastore T, Pisacane O, eds. Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers. Vol 14990. Lecture Notes in Computer Science. Springer; 2024:361–376. doi:10.1007/978-3-031-75623-8_29","ieee":"M. Seiler, U. Skvorc, C. Doerr, and H. Trautmann, “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection,” in Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, 2024, vol. 14990, pp. 361–376, doi: 10.1007/978-3-031-75623-8_29.","apa":"Seiler, M., Skvorc, U., Doerr, C., & Trautmann, H. (2024). Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. In P. Festa, D. Ferone, T. Pastore, & O. Pisacane (Eds.), Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers (Vol. 14990, pp. 361–376). Springer. https://doi.org/10.1007/978-3-031-75623-8_29","chicago":"Seiler, Moritz, Urban Skvorc, Carola Doerr, and Heike Trautmann. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” In Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa, Daniele Ferone, Tommaso Pastore, and Ornella Pisacane, 14990:361–376. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-75623-8_29.","short":"M. Seiler, U. Skvorc, C. Doerr, H. Trautmann, in: P. Festa, D. Ferone, T. Pastore, O. Pisacane (Eds.), Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, Springer, 2024, pp. 361–376."},"doi":"10.1007/978-3-031-75623-8_29","user_id":"15504","editor":[{"full_name":"Festa, Paola","last_name":"Festa","first_name":"Paola"},{"first_name":"Daniele","last_name":"Ferone","full_name":"Ferone, Daniele"},{"first_name":"Tommaso","last_name":"Pastore","full_name":"Pastore, Tommaso"},{"full_name":"Pisacane, Ornella","last_name":"Pisacane","first_name":"Ornella"}],"volume":14990,"page":"361–376","series_title":"Lecture Notes in Computer Science","_id":"58335","language":[{"iso":"eng"}],"publisher":"Springer","date_updated":"2025-01-23T12:40:32Z","intvolume":" 14990","year":"2024","status":"public","title":"Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection","author":[{"id":"105520","full_name":"Seiler, Moritz","first_name":"Moritz","last_name":"Seiler"},{"id":"103764","first_name":"Urban","last_name":"Skvorc","full_name":"Skvorc, Urban"},{"full_name":"Doerr, Carola","first_name":"Carola","last_name":"Doerr"},{"id":"100740","full_name":"Trautmann, Heike","first_name":"Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann"}]},{"user_id":"55686","_id":"58441","publisher":"Springer Science and Business Media LLC","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2025-01-30T14:41:17Z","year":"2024","status":"public","title":"Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content","author":[{"id":"55686","full_name":"Wippermann, Jan","last_name":"Wippermann","first_name":"Jan","orcid":"0000-0002-5013-853X"},{"id":"32056","last_name":"Meschut","orcid":"0000-0002-2763-1246","first_name":"Gerson","full_name":"Meschut, Gerson"}],"type":"preprint","department":[{"_id":"157"}],"date_created":"2025-01-30T14:30:09Z","abstract":[{"text":"This study presents a numerical approach using a 3D finite element model to quantify the remaining clamp load of a plastic nut joint after a specific time. The viscoelastic relaxation of a thermoplastic nut, which is predominantly screwed on a welding stud, is described by a material card using Prony Series. Prony Series are derived from experimental Dynamical Mechanical Analysis with different moisture and fiber contents of the thermoplastic. Since plastic nuts usually do not have preformed threads, the increased temperatures and resulting stresses from the thread-forming process are considered in the simulation. Firstly, the FE model is verified by substrate stress relaxation tests. Subsequently, experimental clamp load measurements with miniature compression load cells verify the clamp load prediction. Finally, the developed model is used to analyze the clamp load distribution within the threads","lang":"eng"}],"citation":{"chicago":"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.","short":"J. Wippermann, G. Meschut, (2024).","apa":"Wippermann, J., & Meschut, G. (2024). Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content. Springer Science and Business Media LLC.","ieee":"J. Wippermann and G. Meschut, “Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content.” Springer Science and Business Media LLC, 2024.","ama":"Wippermann J, Meschut G. Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content. Published online 2024.","bibtex":"@article{Wippermann_Meschut_2024, title={Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content}, publisher={Springer Science and Business Media LLC}, author={Wippermann, Jan and Meschut, Gerson}, year={2024} }","mla":"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."}},{"author":[{"last_name":"Hesse","first_name":"Michael","full_name":"Hesse, Michael","id":"29222"}],"publication_identifier":{"eissn":["2365-4422"],"isbn":["978-3-947647-45-3"]},"title":"Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression","year":"2024","intvolume":" 426","date_updated":"2025-01-30T14:58:46Z","publication_status":"published","series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","language":[{"iso":"ger"}],"main_file_link":[{"open_access":"1","url":"https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-2135"}],"doi":"10.17619/UNIPB/1-2135","abstract":[{"text":"Die Inbetriebnahme von Steuerungen und Regelungen stellt sicher, dass ein mechatronisches System ordnungsgemäß funktioniert und den Anforderungen gerecht wird. Der modellbasierte Entwurf basiert auf einem genauen Simulationsmodell. Allerdings ist dieser klassische Weg bei komplexen Systemen oft nicht praktikabel, da die analytische Modellierung zu kompliziert und zeitaufwendig ist. Diese Forschungslücke wird durch Verfahren adressiert, die eine effiziente und sichere Inbetriebnahme ermöglichen. Diese Verfahren kombinieren Regelungstechnik und Reinforcement Learning und nutzen vorhandenes Wissen über die Regelungsaufgabe, um Korrekturen basierend auf Messdaten und der probabilistischen Gauß-Prozess-Regression vorzunehmen. Das Vorwissen kann als teilweise bekanntes physikalisches Modell oder als Steuerungsfunktion vorliegen. Anwendungsbeispiele sind der Ultraschalldrahtbondprozess, verschiedene Pendelsysteme und ein Hexapod. Eine angepasste Bayessche Optimierung wird zur Identifikation einer Steuerparametrisierung für das Ultraschallbonden eingesetzt. Außerdem wird eine hybride Optimalsteuerung für das Doppelpendel auf einem Wagen entwickelt und erfolgreich validiert. Fur einen Hexapod zur Fahrzeugachsprüfung wird eine hybride Zustandslinearisierung formuliert und ein Funktionsnachweis im Rahmen einer Simulation erbracht. Die Einhaltung technischer Rahmenbedingungen und stabiles Systemverhalten werden durch probabilistische Pradiktionen gewährleistet. In allen Anwendungsfällen wird eine Steigerung der Effizienz und Güte erzielt.","lang":"eng"},{"lang":"eng","text":"The commissioning of control systems ensures that a mechatronic system functions properly and meets the requirements. Model-based design is based on a precise simulation model. However, this classic approach is often impractical for complex systems, as analytical modeling is too complicated and time-consuming. This research gap is addressed by methods that enable efficient and safe commissioning. These methods combine control engineering and reinforcement learning and use existing knowledge about the control task to make corrections based on measurement data and probabilistic Gaussian process regression. The prior knowledge can be available as a partially known physical model or as a control function. Application examples include the ultrasonic wire bonding process, various pendulum systems and a hexapod. An adapted Bayesian optimization is used to identify a control parameterization for ultrasonic bonding. In addition, a hybrid optimal control for the double pendulum on a cart is developed and successfully validated. A hybrid state linearization is formulated for a hexapod for vehicle axle testing and a proof of concept is provided in a simulation. Compliance with technical framework conditions and stable system behavior are ensured by probabilistic predictions. An increase in efficiency and quality is achieved in all use cases."}],"date_created":"2025-01-30T14:45:46Z","department":[{"_id":"153"},{"_id":"880"}],"type":"dissertation","status":"public","publisher":"Heinz Nixdorf Institut","_id":"58448","volume":426,"user_id":"82875","supervisor":[{"id":"15402","first_name":"Julia","last_name":"Timmermann","full_name":"Timmermann, Julia"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"citation":{"ieee":"M. Hesse, Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression, vol. 426. Paderborn: Heinz Nixdorf Institut, 2024.","apa":"Hesse, M. (2024). Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression (Vol. 426). Heinz Nixdorf Institut. https://doi.org/10.17619/UNIPB/1-2135","chicago":"Hesse, Michael. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Vol. 426. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, 2024. https://doi.org/10.17619/UNIPB/1-2135.","short":"M. Hesse, Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression, Heinz Nixdorf Institut, Paderborn, 2024.","mla":"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.","bibtex":"@book{Hesse_2024, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression}, volume={426}, DOI={10.17619/UNIPB/1-2135}, publisher={Heinz Nixdorf Institut}, author={Hesse, Michael}, year={2024}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }","ama":"Hesse M. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Vol 426. Heinz Nixdorf Institut; 2024. doi:10.17619/UNIPB/1-2135"},"place":"Paderborn","oa":"1"},{"date_updated":"2025-01-31T17:03:34Z","publication_status":"published","intvolume":" 8","title":"Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining","year":"2024","publication_identifier":{"issn":["2504-4494"]},"author":[{"last_name":"Friedlein","first_name":"Johannes","full_name":"Friedlein, Johannes"},{"full_name":"Böhnke, Max","first_name":"Max","last_name":"Böhnke"},{"full_name":"Schlichter, Malte","first_name":"Malte","last_name":"Schlichter"},{"full_name":"Bobbert, Mathias","first_name":"Mathias","last_name":"Bobbert"},{"full_name":"Meschut, Gerson","last_name":"Meschut","first_name":"Gerson"},{"first_name":"Julia","last_name":"Mergheim","full_name":"Mergheim, Julia"},{"full_name":"Steinmann, Paul","last_name":"Steinmann","first_name":"Paul"}],"doi":"10.3390/jmmp8040157","article_number":"157","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Similar to bulk metal forming, clinch joining is characterised by large plastic deformations and a variety of different 3D stress states, including severe compression. However, inherent to plastic forming is the nucleation and growth of defects, whose detrimental effects on the material behaviour can be described by continuum damage models and eventually lead to material failure. As the damage evolution strongly depends on the stress state, a stress-state-dependent model is utilised to correctly track the accumulation. To formulate and parameterise this model, besides classical experiments, so-called modified punch tests are also integrated herein to enhance the calibration of the failure model by capturing a larger range of stress states and metal-forming-specific loading conditions. Moreover, when highly ductile materials are considered, such as the dual-phase steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation might occur prior to fracture. This can alter the stress state and affect the actual strain at failure. This influence is captured by coupling plasticity and damage to incorporate the damage-induced softening effect. Its relative importance is shown by conducting inverse parameter identifications to determine damage and failure parameters for both mentioned ductile metals based on up to 12 different experiments."}],"issue":"4","publication":"Journal of Manufacturing and Materials Processing","keyword":["ductile damage","stress-state dependency","failure","parameter identification","punch test","clinching"],"type":"journal_article","date_created":"2025-01-31T16:59:13Z","status":"public","user_id":"84990","volume":8,"publisher":"MDPI AG","_id":"58491","project":[{"_id":"130","grant_number":"418701707","name":"TRR 285: TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"},{"_id":"131","name":"TRR 285 - A: TRR 285 - Project Area A"},{"_id":"139","name":"TRR 285 – A05: TRR 285 - Subproject A05"}],"citation":{"chicago":"Friedlein, Johannes, Max Böhnke, Malte Schlichter, Mathias Bobbert, Gerson Meschut, Julia Mergheim, and Paul Steinmann. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” Journal of Manufacturing and Materials Processing 8, no. 4 (2024). https://doi.org/10.3390/jmmp8040157.","short":"J. Friedlein, M. Böhnke, M. Schlichter, M. Bobbert, G. Meschut, J. Mergheim, P. Steinmann, Journal of Manufacturing and Materials Processing 8 (2024).","apa":"Friedlein, J., Böhnke, M., Schlichter, M., Bobbert, M., Meschut, G., Mergheim, J., & Steinmann, P. (2024). Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining. Journal of Manufacturing and Materials Processing, 8(4), Article 157. https://doi.org/10.3390/jmmp8040157","ieee":"J. Friedlein 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, Art. no. 157, 2024, doi: 10.3390/jmmp8040157.","ama":"Friedlein J, Böhnke M, Schlichter M, 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. 2024;8(4). doi:10.3390/jmmp8040157","bibtex":"@article{Friedlein_Böhnke_Schlichter_Bobbert_Meschut_Mergheim_Steinmann_2024, title={Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining}, volume={8}, DOI={10.3390/jmmp8040157}, number={4157}, journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI AG}, author={Friedlein, Johannes and Böhnke, Max and Schlichter, Malte and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}, year={2024} }","mla":"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."}},{"author":[{"full_name":"Neumann, Jonas","first_name":"Jonas","last_name":"Neumann"},{"first_name":"Lukas","last_name":"Kappis","full_name":"Kappis, Lukas"},{"full_name":"Lontsi, Seraphin Tsi-Nda","first_name":"Seraphin Tsi-Nda","last_name":"Lontsi"},{"id":"76631","last_name":"Ludwig","first_name":"Jean-Patrick","full_name":"Ludwig, Jean-Patrick"},{"full_name":"Ramaiya, Umang Bharatkumar","first_name":"Umang Bharatkumar","last_name":"Ramaiya"},{"first_name":"Christian","last_name":"Scharr","full_name":"Scharr, Christian"},{"full_name":"Vallaster, Eva","first_name":"Eva","last_name":"Vallaster"},{"full_name":"Flügge, Wilko","last_name":"Flügge","first_name":"Wilko"},{"id":"32056","last_name":"Meschut","orcid":"0000-0002-2763-1246","first_name":"Gerson","full_name":"Meschut, Gerson"},{"full_name":"Merklein, Marion","last_name":"Merklein","first_name":"Marion"}],"title":"An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components","year":"2024","status":"public","date_updated":"2025-05-13T07:23:13Z","language":[{"iso":"eng"}],"_id":"59237","user_id":"76631","citation":{"ama":"Neumann J, Kappis L, Lontsi ST-N, et al. An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components. In: 15th Forming Technology Forum. ; 2024.","bibtex":"@inproceedings{Neumann_Kappis_Lontsi_Ludwig_Ramaiya_Scharr_Vallaster_Flügge_Meschut_Merklein_2024, title={An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components}, booktitle={15th Forming Technology Forum}, author={Neumann, Jonas and Kappis, Lukas and Lontsi, Seraphin Tsi-Nda and Ludwig, Jean-Patrick and Ramaiya, Umang Bharatkumar and Scharr, Christian and Vallaster, Eva and Flügge, Wilko and Meschut, Gerson and Merklein, Marion}, year={2024} }","mla":"Neumann, Jonas, et al. “An Approach for a Metamodel-Based Consideration of a Process Chain When Mechanically Joining Sheet Metal Components.” 15th Forming Technology Forum, 2024.","chicago":"Neumann, Jonas, Lukas Kappis, Seraphin Tsi-Nda Lontsi, Jean-Patrick Ludwig, Umang Bharatkumar Ramaiya, Christian Scharr, Eva Vallaster, Wilko Flügge, Gerson Meschut, and Marion Merklein. “An Approach for a Metamodel-Based Consideration of a Process Chain When Mechanically Joining Sheet Metal Components.” In 15th Forming Technology Forum, 2024.","short":"J. Neumann, L. Kappis, S.T.-N. Lontsi, J.-P. Ludwig, U.B. Ramaiya, C. Scharr, E. Vallaster, W. Flügge, G. Meschut, M. Merklein, in: 15th Forming Technology Forum, 2024.","apa":"Neumann, J., Kappis, L., Lontsi, S. T.-N., Ludwig, J.-P., Ramaiya, U. B., Scharr, C., Vallaster, E., Flügge, W., Meschut, G., & Merklein, M. (2024). An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components. 15th Forming Technology Forum.","ieee":"J. Neumann et al., “An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components,” 2024."},"publication":"15th Forming Technology Forum","abstract":[{"text":"Batch and process fluctuations during the fabrication of sheet metal components result in discrepancies in the resulting component properties, affecting subsequent process steps and potentially leading to production rejects. Consequently, the identification of deviations and knowledge of the effects of fluctuations are crucial for achieving consistently high product quality, reducing waste and thus increasing resource efficiency of production processes through countermeasures derived from this. The approach presented to address this is the use of data-driven metamodeling to map entire process chains and predict process parameters in order to compensate for process and batch fluctuation. The investigated process chain consists of the sub-processes deep drawing, clamping and clinching. For each process step, relevant input and output variables are identified, numerical simulation models are created, and subsequently validated. Variant simulations of the sub-processes are conducted and evaluated to generate a database for the metamodeling of the individual process steps. Machine learning techniques are utilized for the automated selection and optimization of learning methods to create models that depict the relationships between input and output variables. Finally, the models for the sub-processes are linked together to form a superordinate metamodel for the entire process chain, with the aim to make inline-process adaptations possible.European Journal of Applied Physiology. 2024;124(11):3421-3431. doi:10.1007/s00421-024-05543-x","bibtex":"@article{Wenzel_Liebig_Swoboda_Smolareck_Schlagheck_Walzik_Groll_Goulding_Zimmer_2024, title={Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features}, volume={124}, DOI={10.1007/s00421-024-05543-x}, number={11}, journal={European Journal of Applied Physiology}, publisher={Springer Science and Business Media LLC}, author={Wenzel, Charlotte and Liebig, Thomas and Swoboda, Adrian and Smolareck, Rika and Schlagheck, Marit Lea and Walzik, David and Groll, Andreas and Goulding, Richie P. and Zimmer, Philipp}, year={2024}, pages={3421–3431} }","mla":"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.","short":"C. Wenzel, T. Liebig, A. Swoboda, R. Smolareck, M.L. Schlagheck, D. Walzik, A. Groll, R.P. Goulding, P. Zimmer, European Journal of Applied Physiology 124 (2024) 3421–3431.","chicago":"Wenzel, Charlotte, Thomas Liebig, Adrian Swoboda, Rika Smolareck, Marit Lea Schlagheck, David Walzik, Andreas Groll, Richie P. Goulding, and Philipp Zimmer. “Machine Learning Predicts Peak Oxygen Uptake and Peak Power Output for Customizing Cardiopulmonary Exercise Testing Using Non-Exercise Features.” European Journal of Applied Physiology 124, no. 11 (2024): 3421–31. https://doi.org/10.1007/s00421-024-05543-x.","apa":"Wenzel, C., Liebig, T., Swoboda, A., Smolareck, R., Schlagheck, M. L., Walzik, D., Groll, A., Goulding, R. P., & Zimmer, P. (2024). Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features. European Journal of Applied Physiology, 124(11), 3421–3431. https://doi.org/10.1007/s00421-024-05543-x","ieee":"C. Wenzel 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, pp. 3421–3431, 2024, doi: 10.1007/s00421-024-05543-x."},"doi":"10.1007/s00421-024-05543-x","language":[{"iso":"eng"}],"intvolume":" 124","date_updated":"2025-06-02T09:34:21Z","publication_status":"published","publication_identifier":{"issn":["1439-6319","1439-6327"]},"author":[{"full_name":"Wenzel, Charlotte","last_name":"Wenzel","first_name":"Charlotte"},{"full_name":"Liebig, Thomas","last_name":"Liebig","first_name":"Thomas"},{"first_name":"Adrian","last_name":"Swoboda","full_name":"Swoboda, Adrian"},{"full_name":"Smolareck, Rika","first_name":"Rika","last_name":"Smolareck"},{"id":"117661","first_name":"Marit Lea","last_name":"Schlagheck","orcid":"0000-0002-8913-6080 ","full_name":"Schlagheck, Marit Lea"},{"last_name":"Walzik","first_name":"David","full_name":"Walzik, David"},{"first_name":"Andreas","last_name":"Groll","full_name":"Groll, Andreas"},{"last_name":"Goulding","first_name":"Richie P.","full_name":"Goulding, Richie P."},{"full_name":"Zimmer, Philipp","first_name":"Philipp","last_name":"Zimmer"}],"title":"Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features","year":"2024","type":"journal_article","date_created":"2025-05-27T07:54:52Z","abstract":[{"lang":"eng","text":"Abstract\r\n Purpose\r\n Cardiopulmonary exercise testing (CPET) is considered the gold standard for assessing cardiorespiratory fitness. To ensure consistent performance of each test, it is necessary to adapt the power increase of the test protocol to the physical characteristics of each individual. This study aimed to use machine learning models to determine individualized ramp protocols based on non-exercise features. We hypothesized that machine learning models will predict peak oxygen uptake ($$\\dot{V}$$\r\n \r\n V\r\n ˙\r\n \r\n O2peak) and peak power output (PPO) more accurately than conventional multiple linear regression (MLR).\r\n \r\n Methods\r\n The cross-sectional study was conducted with 274 (♀168, ♂106) participants who performed CPET on a cycle ergometer. Machine learning models and multiple linear regression were used to predict $$\\dot{V}$$\r\n \r\n V\r\n ˙\r\n \r\n O2peak and PPO using non-exercise features. The accuracy of the models was compared using criteria such as root mean square error (RMSE). Shapley additive explanation (SHAP) was applied to determine the feature importance.\r\n \r\n Results\r\n The most accurate machine learning model was the random forest (RMSE: 6.52 ml/kg/min [95% CI 5.21–8.17]) for $$\\dot{V}$$\r\n \r\n V\r\n ˙\r\n \r\n O2peak prediction and the gradient boosting regression (RMSE: 43watts [95% CI 35–52]) for PPO prediction. Compared to the MLR, the machine learning models reduced the RMSE by up to 28% and 22% for prediction of $$\\dot{V}$$\r\n \r\n V\r\n ˙\r\n \r\n O2peak and PPO, respectively. Furthermore, SHAP ranked body composition data such as skeletal muscle mass and extracellular water as the most impactful features.\r\n \r\n Conclusion\r\n Machine learning models predict $$\\dot{V}$$\r\n \r\n V\r\n ˙\r\n \r\n O2peak and PPO more accurately than MLR and can be used to individualize CPET protocols. Features that provide information about the participant's body composition contribute most to the improvement of these predictions.\r\n \r\n Trial registration number\r\n DRKS00031401 (6 March 2023, retrospectively registered).\r\n "}],"extern":"1","publication":"European Journal of Applied Physiology","issue":"11"},{"doi":"10.1111/dom.15772","language":[{"iso":"eng"}],"intvolume":" 26","publication_status":"published","date_updated":"2025-06-11T08:42:19Z","author":[{"full_name":"Schaefer, Edyta","first_name":"Edyta","last_name":"Schaefer"},{"full_name":"Lang, Alexander","first_name":"Alexander","last_name":"Lang"},{"last_name":"Kupriyanova","first_name":"Yuliya","full_name":"Kupriyanova, Yuliya"},{"full_name":"Bódis, Kálmán B.","first_name":"Kálmán B.","last_name":"Bódis"},{"full_name":"Weber, Katharina S.","last_name":"Weber","first_name":"Katharina S."},{"full_name":"Buyken, Anette","first_name":"Anette","last_name":"Buyken","id":"65985"},{"first_name":"Janett","last_name":"Barbaresko","full_name":"Barbaresko, Janett"},{"full_name":"Kössler, Theresa","first_name":"Theresa","last_name":"Kössler"},{"full_name":"Kahl, Sabine","last_name":"Kahl","first_name":"Sabine"},{"full_name":"Zaharia, Oana‐Patricia","last_name":"Zaharia","first_name":"Oana‐Patricia"},{"full_name":"Szendroedi, Julia","first_name":"Julia","last_name":"Szendroedi"},{"last_name":"Herder","first_name":"Christian","full_name":"Herder, Christian"},{"full_name":"Schrauwen‐Hinderling, Vera B.","last_name":"Schrauwen‐Hinderling","first_name":"Vera B."},{"last_name":"Wagner","first_name":"Robert","full_name":"Wagner, Robert"},{"full_name":"Kuss, Oliver","first_name":"Oliver","last_name":"Kuss"},{"last_name":"Roden","first_name":"Michael","full_name":"Roden, Michael"},{"full_name":"Schlesinger, Sabrina","first_name":"Sabrina","last_name":"Schlesinger"}],"publication_identifier":{"issn":["1462-8902","1463-1326"]},"year":"2024","title":"Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes","department":[{"_id":"22"}],"type":"journal_article","date_created":"2025-06-11T08:39:22Z","abstract":[{"text":"AbstractAimTo investigate the associations of the Dietary Approaches to Stop Hypertension (DASH) score with subcutaneous (SAT) and visceral (VAT) adipose tissue volume and hepatic lipid content (HLC) in people with diabetes and to examine whether changes in the DASH diet were associated with changes in these outcomes.MethodsIn total, 335 participants with recent‐onset type 1 diabetes (T1D) and type 2 diabetes (T2D) from the German Diabetes Study were included in the cross‐sectional analysis, and 111 participants in the analysis of changes during the 5‐year follow‐up. Associations between the DASH score and VAT, SAT and HLC and their changes were investigated using multivariable linear regression models by diabetes type. The proportion mediated by changes in potential mediators was determined using mediation analysis.ResultsA higher baseline DASH score was associated with lower HLC, especially in people with T2D (per 5 points: −1.5% [−2.7%; −0.3%]). Over 5 years, a 5‐point increase in the DASH score was associated with decreased VAT in people with T2D (−514 [−800; −228] cm3). Similar, but imprecise, associations were observed for VAT changes in people with T1D (−403 [−861; 55] cm3) and for HLC in people with T2D (−1.3% [−2.8%; 0.3%]). Body mass index and waist circumference changes explained 8%‐48% of the associations between DASH and VAT changes in both groups. In people with T2D, adipose tissue insulin resistance index (Adipo‐IR) changes explained 47% of the association between DASH and HLC changes.ConclusionsA shift to a DASH‐like diet was associated with favourable VAT and HLC changes, which were partly explained by changes in anthropometric measures and Adipo‐IR.","lang":"eng"}],"publication":"Diabetes, Obesity and Metabolism","issue":"10","volume":26,"user_id":"92491","publisher":"Wiley","_id":"60176","page":"4281-4292","status":"public","citation":{"ieee":"E. Schaefer et al., “Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes,” Diabetes, Obesity and Metabolism, vol. 26, no. 10, pp. 4281–4292, 2024, doi: 10.1111/dom.15772.","apa":"Schaefer, E., Lang, A., Kupriyanova, Y., Bódis, K. B., Weber, K. S., Buyken, A., Barbaresko, J., Kössler, T., Kahl, S., Zaharia, O., Szendroedi, J., Herder, C., Schrauwen‐Hinderling, V. B., Wagner, R., Kuss, O., Roden, M., & Schlesinger, S. (2024). Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes. Diabetes, Obesity and Metabolism, 26(10), 4281–4292. https://doi.org/10.1111/dom.15772","chicago":"Schaefer, Edyta, Alexander Lang, Yuliya Kupriyanova, Kálmán B. Bódis, Katharina S. Weber, Anette Buyken, Janett Barbaresko, et al. “Adherence to the Dietary Approaches to Stop Hypertension (DASH) Diet Is Associated with Lower Visceral and Hepatic Lipid Content in Recent‐onset Type 1 Diabetes and Type 2 Diabetes.” Diabetes, Obesity and Metabolism 26, no. 10 (2024): 4281–92. https://doi.org/10.1111/dom.15772.","short":"E. Schaefer, A. Lang, Y. Kupriyanova, K.B. Bódis, K.S. Weber, A. Buyken, J. Barbaresko, T. Kössler, S. Kahl, O. Zaharia, J. Szendroedi, C. Herder, V.B. Schrauwen‐Hinderling, R. Wagner, O. Kuss, M. Roden, S. Schlesinger, Diabetes, Obesity and Metabolism 26 (2024) 4281–4292.","mla":"Schaefer, Edyta, et al. “Adherence to the Dietary Approaches to Stop Hypertension (DASH) Diet Is Associated with Lower Visceral and Hepatic Lipid Content in Recent‐onset Type 1 Diabetes and Type 2 Diabetes.” Diabetes, Obesity and Metabolism, vol. 26, no. 10, Wiley, 2024, pp. 4281–92, doi:10.1111/dom.15772.","bibtex":"@article{Schaefer_Lang_Kupriyanova_Bódis_Weber_Buyken_Barbaresko_Kössler_Kahl_Zaharia_et al._2024, title={Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes}, volume={26}, DOI={10.1111/dom.15772}, number={10}, journal={Diabetes, Obesity and Metabolism}, publisher={Wiley}, author={Schaefer, Edyta and Lang, Alexander and Kupriyanova, Yuliya and Bódis, Kálmán B. and Weber, Katharina S. and Buyken, Anette and Barbaresko, Janett and Kössler, Theresa and Kahl, Sabine and Zaharia, Oana‐Patricia and et al.}, year={2024}, pages={4281–4292} }","ama":"Schaefer E, Lang A, Kupriyanova Y, et al. Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes. Diabetes, Obesity and Metabolism. 2024;26(10):4281-4292. doi:10.1111/dom.15772"}},{"language":[{"iso":"eng"}],"_id":"64104","user_id":"15578","author":[{"full_name":"Scheideler, Christian","last_name":"Scheideler","first_name":"Christian","id":"20792"},{"full_name":"Hinnenthal , Kristian ","last_name":"Hinnenthal ","first_name":"Kristian "},{"first_name":"David Jan","last_name":"Liedtke","full_name":"Liedtke, David Jan","id":"55557"}],"title":"Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20","year":"2024","status":"public","date_updated":"2026-02-11T09:12:05Z","date_created":"2026-02-10T10:12:18Z","place":"CoRR abs/2401.17734 (2024)","department":[{"_id":"34"},{"_id":"7"},{"_id":"79"}],"type":"conference","citation":{"bibtex":"@inproceedings{Scheideler_Hinnenthal _Liedtke_2024, place={CoRR abs/2401.17734 (2024)}, title={Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20}, author={Scheideler, Christian and Hinnenthal , Kristian and Liedtke, David Jan}, year={2024} }","ama":"Scheideler C, Hinnenthal K, Liedtke DJ. Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20. In: ; 2024.","mla":"Scheideler, Christian, et al. Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20. 2024.","short":"C. Scheideler, K. Hinnenthal , D.J. Liedtke, in: CoRR abs/2401.17734 (2024), 2024.","chicago":"Scheideler, Christian, Kristian Hinnenthal , and David Jan Liedtke. “Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20.” CoRR abs/2401.17734 (2024), 2024.","ieee":"C. Scheideler, K. Hinnenthal , and D. J. Liedtke, “Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20,” 2024.","apa":"Scheideler, C., Hinnenthal , K., & Liedtke, D. J. (2024). Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20."}},{"_id":"64106","language":[{"iso":"eng"}],"user_id":"15578","author":[{"id":"20792","full_name":"Scheideler, Christian","first_name":"Christian","last_name":"Scheideler"},{"full_name":"Kostitsyna, Irina ","last_name":"Kostitsyna","first_name":"Irina "},{"full_name":"Liedtke, David Jan","last_name":"Liedtke","first_name":"David Jan","id":"55557"}],"year":"2024","title":"Universal Coating by 3D Hybrid Programmable Matter.","status":"public","date_updated":"2026-02-11T09:12:11Z","place":"SIROCCO 2024: 384-401","date_created":"2026-02-10T10:21:39Z","department":[{"_id":"34"},{"_id":"7"},{"_id":"79"}],"type":"conference","citation":{"mla":"Scheideler, Christian, et al. Universal Coating by 3D Hybrid Programmable Matter. 2024.","ama":"Scheideler C, Kostitsyna I, Liedtke DJ. Universal Coating by 3D Hybrid Programmable Matter. In: ; 2024.","bibtex":"@inproceedings{Scheideler_Kostitsyna_Liedtke_2024, place={SIROCCO 2024: 384-401}, title={Universal Coating by 3D Hybrid Programmable Matter.}, author={Scheideler, Christian and Kostitsyna, Irina and Liedtke, David Jan}, year={2024} }","apa":"Scheideler, C., Kostitsyna, I., & Liedtke, D. J. (2024). Universal Coating by 3D Hybrid Programmable Matter.","ieee":"C. Scheideler, I. Kostitsyna, and D. J. Liedtke, “Universal Coating by 3D Hybrid Programmable Matter.,” 2024.","short":"C. Scheideler, I. Kostitsyna, D.J. Liedtke, in: SIROCCO 2024: 384-401, 2024.","chicago":"Scheideler, Christian, Irina Kostitsyna, and David Jan Liedtke. “Universal Coating by 3D Hybrid Programmable Matter.” SIROCCO 2024: 384-401, 2024."}},{"page":"114643","language":[{"iso":"eng"}],"_id":"64002","doi":"10.1016/j.cattod.2024.114643","user_id":"100715","volume":432,"title":"Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane","year":"2024","status":"public","author":[{"full_name":"Kunkel, Benny","last_name":"Kunkel","first_name":"Benny"},{"full_name":"Seeburg, Dominik","last_name":"Seeburg","first_name":"Dominik"},{"full_name":"Kabelitz, Anke","first_name":"Anke","last_name":"Kabelitz"},{"full_name":"Witte, Steffen","first_name":"Steffen","last_name":"Witte"},{"full_name":"Gutmann, Torsten","last_name":"Gutmann","first_name":"Torsten","id":"118165"},{"full_name":"Breitzke, Hergen","first_name":"Hergen","last_name":"Breitzke"},{"first_name":"Gerd","last_name":"Buntkowsky","full_name":"Buntkowsky, Gerd"},{"full_name":"Buzanich, Ana Guilherme","last_name":"Buzanich","first_name":"Ana Guilherme"},{"first_name":"Sebastian","last_name":"Wohlrab","full_name":"Wohlrab, Sebastian"}],"date_updated":"2026-02-17T16:15:41Z","intvolume":" 432","date_created":"2026-02-07T15:53:56Z","keyword":["Formaldehyde","Local coordination","SBA-15","Vanadium oxo species","XANES","Zinc doped silica"],"type":"journal_article","publication":"Catalysis Today","citation":{"ieee":"B. Kunkel et al., “Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane,” Catalysis Today, vol. 432, p. 114643, 2024, doi: 10.1016/j.cattod.2024.114643.","apa":"Kunkel, B., Seeburg, D., Kabelitz, A., Witte, S., Gutmann, T., Breitzke, H., Buntkowsky, G., Buzanich, A. G., & Wohlrab, S. (2024). Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane. Catalysis Today, 432, 114643. https://doi.org/10.1016/j.cattod.2024.114643","chicago":"Kunkel, Benny, Dominik Seeburg, Anke Kabelitz, Steffen Witte, Torsten Gutmann, Hergen Breitzke, Gerd Buntkowsky, Ana Guilherme Buzanich, and Sebastian Wohlrab. “Highly Productive V/Zn-SiO2 Catalysts for the Selective Oxidation of Methane.” Catalysis Today 432 (2024): 114643. https://doi.org/10.1016/j.cattod.2024.114643.","short":"B. Kunkel, D. Seeburg, A. Kabelitz, S. Witte, T. Gutmann, H. Breitzke, G. Buntkowsky, A.G. Buzanich, S. Wohlrab, Catalysis Today 432 (2024) 114643.","mla":"Kunkel, Benny, et al. “Highly Productive V/Zn-SiO2 Catalysts for the Selective Oxidation of Methane.” Catalysis Today, vol. 432, 2024, p. 114643, doi:10.1016/j.cattod.2024.114643.","bibtex":"@article{Kunkel_Seeburg_Kabelitz_Witte_Gutmann_Breitzke_Buntkowsky_Buzanich_Wohlrab_2024, title={Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane}, volume={432}, DOI={10.1016/j.cattod.2024.114643}, journal={Catalysis Today}, author={Kunkel, Benny and Seeburg, Dominik and Kabelitz, Anke and Witte, Steffen and Gutmann, Torsten and Breitzke, Hergen and Buntkowsky, Gerd and Buzanich, Ana Guilherme and Wohlrab, Sebastian}, year={2024}, pages={114643} }","ama":"Kunkel B, Seeburg D, Kabelitz A, et al. Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane. Catalysis Today. 2024;432:114643. doi:10.1016/j.cattod.2024.114643"},"abstract":[{"text":"The production of formaldehyde on industrial scale requires huge amounts of energy due to the involvement of reforming processes in combination with the demand in the megaton scale. Hence, a direct route for the transformation of (bio)methane to formaldehyde would decrease costs and puts less pressure on the environment. Herein, we report on the use of zinc modified silicas as possible support materials for vanadium catalysts and the resulting consequences for the performance in the selective oxidation of methane to formaldehyde. After optimization of the Zn content and reaction conditions, a remarkably high space-time yield of 12.4 kgCH2O·kgcat−1·h−1 was achieved. As a result of the extensive characterization by means of UV–vis, Raman, XANES and NMR spectroscopy it was found that vanadium is in the vicinity of highly dispersed zinc atoms which promote the formation of active vanadium species as supposed by theoretical calculations. This work presents a further step of catalyst development towards direct industrial methane conversion which may help to overcome current limitations in the future.","lang":"eng"}],"extern":"1"},{"abstract":[{"lang":"eng","text":"The Shapley value (SV) is a prevalent approach of allocating credit to machine learning (ML) entities to understand black box ML models. Enriching such interpretations with higher-order interactions is inevitable for complex systems, where the Shapley Interaction Index (SII) is a direct axiomatic extension of the SV. While it is well-known that the SV yields an optimal approximation of any game via a weighted least square (WLS) objective, an extension of this result to SII has been a long-standing open problem, which even led to the proposal of an alternative index. In this work, we characterize higher-order SII as a solution to a WLS problem, which constructs an optimal approximation via SII and k-Shapley values (k-SII). We prove this representation for the SV and pairwise SII and give empirically validated conjectures for higher orders. As a result, we propose KernelSHAP-IQ, a direct extension of KernelSHAP for SII, and demonstrate state-of-the-art performance for feature interactions."}],"project":[{"_id":"109","name":"TRR 318: TRR 318 - Erklärbarkeit konstruieren"},{"name":"TRR 318 - C: TRR 318 - Project Area C","_id":"117"},{"_id":"126","name":"TRR 318 - C3: TRR 318 - Subproject C3"}],"publication":"Proceedings of the 41st International Conference on Machine Learning (ICML)","citation":{"chicago":"Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:14308–14342. Proceedings of Machine Learning Research. PMLR, 2024.","short":"F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in: Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR, 2024, pp. 14308–14342.","ieee":"F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer, “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions,” in Proceedings of the 41st International Conference on Machine Learning (ICML), 2024, vol. 235, pp. 14308–14342.","apa":"Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer, B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. Proceedings of the 41st International Conference on Machine Learning (ICML), 235, 14308–14342.","bibtex":"@inproceedings{Fumagalli_Muschalik_Kolpaczki_Hüllermeier_Hammer_2024, series={Proceedings of Machine Learning Research}, title={KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions}, volume={235}, booktitle={Proceedings of the 41st International Conference on Machine Learning (ICML)}, publisher={PMLR}, author={Fumagalli, Fabian and Muschalik, Maximilian and Kolpaczki, Patrick and Hüllermeier, Eyke and Hammer, Barbara}, year={2024}, pages={14308–14342}, collection={Proceedings of Machine Learning Research} }","ama":"Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. In: Proceedings of the 41st International Conference on Machine Learning (ICML). Vol 235. Proceedings of Machine Learning Research. PMLR; 2024:14308–14342.","mla":"Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” Proceedings of the 41st International Conference on Machine Learning (ICML), vol. 235, PMLR, 2024, pp. 14308–14342."},"type":"conference","department":[{"_id":"660"}],"date_created":"2025-01-16T16:12:16Z","date_updated":"2025-09-11T16:27:05Z","intvolume":" 235","title":"KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions","status":"public","year":"2024","author":[{"last_name":"Fumagalli","first_name":"Fabian","full_name":"Fumagalli, Fabian"},{"first_name":"Maximilian","last_name":"Muschalik","full_name":"Muschalik, Maximilian"},{"full_name":"Kolpaczki, Patrick","last_name":"Kolpaczki","first_name":"Patrick"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"},{"full_name":"Hammer, Barbara","last_name":"Hammer","first_name":"Barbara"}],"user_id":"93420","volume":235,"page":"14308–14342","series_title":"Proceedings of Machine Learning Research","_id":"58223","language":[{"iso":"eng"}],"publisher":"PMLR"},{"language":[{"iso":"eng"}],"doi":"10.1007/s00170-024-14221-3","author":[{"last_name":"Kaleem","first_name":"Muhammad Ali","full_name":"Kaleem, Muhammad Ali"},{"last_name":"Steinheimer","first_name":"Rainer","full_name":"Steinheimer, Rainer"},{"full_name":"Frohn-Sörensen, Peter","last_name":"Frohn-Sörensen","first_name":"Peter"},{"last_name":"Gabsa","first_name":"Steffen","full_name":"Gabsa, Steffen","id":"106786"},{"first_name":"Bernd","last_name":"Engel","full_name":"Engel, Bernd"}],"publication_identifier":{"issn":["0268-3768","1433-3015"]},"title":"Additive manufacturing of polymeric pressure die for rotary draw bending process","year":"2024","intvolume":" 134","date_updated":"2025-10-15T13:08:16Z","publication_status":"published","date_created":"2025-10-15T09:02:15Z","type":"journal_article","publication":"The International Journal of Advanced Manufacturing Technology","issue":"3-4","abstract":[{"lang":"eng","text":"Abstract3D printing or additive manufacturing (AM) possesses enormous potential to benefit the manufacturing industry. Presently, rotary draw bending (RDB) is one of the most commonly used cold-forming industrial process for bending metal tubes. Pressure die is a fundamental forming tool in RDB processes, and it is conventionally made by various grades of comparatively expensive alloy steels. This research presents a novel design of a pressure die which can be 3D printed by using inexpensive polymeric filaments. In this research paper, the 3D-printed pressure die is named as “FFF-pressure die.” The material used to fabricate the FFF-pressure die is a thermoplastic polymer known as “ecoPLA.” The mechanical properties of ecoPLA are studied in relation to the process conditions of a RDB process. Firstly, an initial feasibility of using the FFF-pressure die in a RDB process is obtained by conducting a quick static stress analysis with actual process conditions. After initial feasibility, a complete RDB process is developed and simulated with actual process conditions and material properties. The FFF-pressure die is then practically fabricated by FFF 3D printer and experimentally tested on an industrial RDB machine. The results of practical experiments are compared with the simulation results. In order to make a comparison of the FFF-pressure die with the conventional metal pressure die, the simulation and practical process is also conducted with the conventional metal pressure die. A performance and cost comparison is made between the polymeric FFF-pressure die and the conventional metal pressure die. Von Mises stresses, contact forces, failure risk, and elastic deformations are analyzed. The advantages and limitations of using the FFF-pressure die in a RDB process are discussed in the end. This research intends to widen the avenue of using cost-effective and lightweight forming tools in metal forming industries."}],"_id":"61834","publisher":"Springer Science and Business Media LLC","page":"1789-1804","volume":134,"user_id":"106786","status":"public","citation":{"short":"M.A. Kaleem, R. Steinheimer, P. Frohn-Sörensen, S. Gabsa, B. Engel, The International Journal of Advanced Manufacturing Technology 134 (2024) 1789–1804.","chicago":"Kaleem, Muhammad Ali, Rainer Steinheimer, Peter Frohn-Sörensen, Steffen Gabsa, and Bernd Engel. “Additive Manufacturing of Polymeric Pressure Die for Rotary Draw Bending Process.” The International Journal of Advanced Manufacturing Technology 134, no. 3–4 (2024): 1789–1804. https://doi.org/10.1007/s00170-024-14221-3.","apa":"Kaleem, M. A., Steinheimer, R., Frohn-Sörensen, P., Gabsa, S., & Engel, B. (2024). Additive manufacturing of polymeric pressure die for rotary draw bending process. The International Journal of Advanced Manufacturing Technology, 134(3–4), 1789–1804. https://doi.org/10.1007/s00170-024-14221-3","ieee":"M. A. Kaleem, R. Steinheimer, P. Frohn-Sörensen, S. Gabsa, and B. Engel, “Additive manufacturing of polymeric pressure die for rotary draw bending process,” The International Journal of Advanced Manufacturing Technology, vol. 134, no. 3–4, pp. 1789–1804, 2024, doi: 10.1007/s00170-024-14221-3.","ama":"Kaleem MA, Steinheimer R, Frohn-Sörensen P, Gabsa S, Engel B. Additive manufacturing of polymeric pressure die for rotary draw bending process. The International Journal of Advanced Manufacturing Technology. 2024;134(3-4):1789-1804. doi:10.1007/s00170-024-14221-3","bibtex":"@article{Kaleem_Steinheimer_Frohn-Sörensen_Gabsa_Engel_2024, title={Additive manufacturing of polymeric pressure die for rotary draw bending process}, volume={134}, DOI={10.1007/s00170-024-14221-3}, number={3–4}, journal={The International Journal of Advanced Manufacturing Technology}, publisher={Springer Science and Business Media LLC}, author={Kaleem, Muhammad Ali and Steinheimer, Rainer and Frohn-Sörensen, Peter and Gabsa, Steffen and Engel, Bernd}, year={2024}, pages={1789–1804} }","mla":"Kaleem, Muhammad Ali, et al. “Additive Manufacturing of Polymeric Pressure Die for Rotary Draw Bending Process.” The International Journal of Advanced Manufacturing Technology, vol. 134, no. 3–4, Springer Science and Business Media LLC, 2024, pp. 1789–804, doi:10.1007/s00170-024-14221-3."}}]