[{"date_updated":"2025-11-28T14:57:09Z","publisher":"IOS Press","date_created":"2025-11-28T14:32:43Z","author":[{"full_name":"Kamdem Teyou, Louis Mozart","last_name":"Kamdem Teyou","first_name":"Louis Mozart"},{"first_name":"Caglar","full_name":"Demir, Caglar","last_name":"Demir"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"title":"Embedding Knowledge Graphs in Degenerate Clifford Algebras","doi":"10.3233/faia240627","conference":{"start_date":"2024-10-19","name":"27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE","location":"Santiago de Compostela","end_date":"2024-10-24"},"publication_status":"published","quality_controlled":"1","publication_identifier":{"issn":["0922-6389","1879-8314"],"isbn":["9781643685489"]},"year":"2024","citation":{"ama":"Kamdem Teyou LM, Demir C, Ngonga Ngomo A-C. Embedding Knowledge Graphs in Degenerate Clifford Algebras. In: <i>Frontiers in Artificial Intelligence and Applications</i>. IOS Press; 2024. doi:<a href=\"https://doi.org/10.3233/faia240627\">10.3233/faia240627</a>","chicago":"Kamdem Teyou, Louis Mozart, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Embedding Knowledge Graphs in Degenerate Clifford Algebras.” In <i>Frontiers in Artificial Intelligence and Applications</i>. IOS Press, 2024. <a href=\"https://doi.org/10.3233/faia240627\">https://doi.org/10.3233/faia240627</a>.","ieee":"L. M. Kamdem Teyou, C. Demir, and A.-C. Ngonga Ngomo, “Embedding Knowledge Graphs in Degenerate Clifford Algebras,” in <i>Frontiers in Artificial Intelligence and Applications</i>, IOS Press, 2024.","mla":"Kamdem Teyou, Louis Mozart, et al. “Embedding Knowledge Graphs in Degenerate Clifford Algebras.” <i>Frontiers in Artificial Intelligence and Applications</i>, IOS Press, 2024, doi:<a href=\"https://doi.org/10.3233/faia240627\">10.3233/faia240627</a>.","bibtex":"@inbook{Kamdem Teyou_Demir_Ngonga Ngomo_2024, title={Embedding Knowledge Graphs in Degenerate Clifford Algebras}, DOI={<a href=\"https://doi.org/10.3233/faia240627\">10.3233/faia240627</a>}, booktitle={Frontiers in Artificial Intelligence and Applications}, publisher={IOS Press}, author={Kamdem Teyou, Louis Mozart and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2024} }","short":"L.M. Kamdem Teyou, C. Demir, A.-C. Ngonga Ngomo, in: Frontiers in Artificial Intelligence and Applications, IOS Press, 2024.","apa":"Kamdem Teyou, L. M., Demir, C., &#38; Ngonga Ngomo, A.-C. (2024). Embedding Knowledge Graphs in Degenerate Clifford Algebras. In <i>Frontiers in Artificial Intelligence and Applications</i>. 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, Santiago de Compostela. IOS Press. <a href=\"https://doi.org/10.3233/faia240627\">https://doi.org/10.3233/faia240627</a>"},"_id":"62702","user_id":"101165","department":[{"_id":"34"},{"_id":"574"}],"language":[{"iso":"eng"}],"type":"book_chapter","popular_science":"1","publication":"Frontiers in Artificial Intelligence and Applications","abstract":[{"lang":"eng","text":"<jats:p>Clifford algebras are a natural extension of division algebras, including real numbers, complex numbers, quaternions, and octonions. Previous research in knowledge graph embeddings has focused exclusively on Clifford algebras of a specific type, which do not include nilpotent base vectors—elements that square to zero. In this work, we introduce a novel approach by incorporating nilpotent base vectors with a nilpotency index of two, leading to a more general form of Clifford algebras named degenerate Clifford algebras. This generalization to degenerate Clifford algebras does allow for covering dual numbers and as such include translations and rotations models under the same generalization paradigm for the first time. We develop two models to determine the parameters that define the algebra: one using a greedy search and another predicting the parameters based on neural network embeddings of the input knowledge graph. Our evaluation on seven benchmark datasets demonstrates that this incorporation of nilpotent vectors enhances the quality of embeddings. Additionally, our method outperforms state-of-the-art approaches in terms of generalization, particularly regarding the mean reciprocal rank achieved on validation data. Finally, we show that even a simple greedy search can effectively discover optimal or near-optimal parameters for the algebra.</jats:p>"}],"status":"public"},{"publication_status":"published","citation":{"apa":"Kamdem Teyou, L. M., Demir, C., &#38; Ngonga Ngomo, A.-C. (2024). Embedding Knowledge Graphs in Function Spaces. <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>. 33rd ACM International Conference on Information and Knowledge Management, Boise. <a href=\"https://doi.org/10.1145/3627673.3679819\">https://doi.org/10.1145/3627673.3679819</a>","short":"L.M. Kamdem Teyou, C. Demir, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, Boise, 2024.","mla":"Kamdem Teyou, Louis Mozart, et al. “Embedding Knowledge Graphs in Function Spaces.” <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, ACM, 2024, doi:<a href=\"https://doi.org/10.1145/3627673.3679819\">10.1145/3627673.3679819</a>.","bibtex":"@inproceedings{Kamdem Teyou_Demir_Ngonga Ngomo_2024, place={Boise}, title={Embedding Knowledge Graphs in Function Spaces}, DOI={<a href=\"https://doi.org/10.1145/3627673.3679819\">10.1145/3627673.3679819</a>}, booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management}, publisher={ACM}, author={Kamdem Teyou, Louis Mozart and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2024} }","ama":"Kamdem Teyou LM, Demir C, Ngonga Ngomo A-C. Embedding Knowledge Graphs in Function Spaces. In: <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>. ACM; 2024. doi:<a href=\"https://doi.org/10.1145/3627673.3679819\">10.1145/3627673.3679819</a>","ieee":"L. M. Kamdem Teyou, C. Demir, and A.-C. Ngonga Ngomo, “Embedding Knowledge Graphs in Function Spaces,” presented at the 33rd ACM International Conference on Information and Knowledge Management, Boise, 2024, doi: <a href=\"https://doi.org/10.1145/3627673.3679819\">10.1145/3627673.3679819</a>.","chicago":"Kamdem Teyou, Louis Mozart, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Embedding Knowledge Graphs in Function Spaces.” In <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>. Boise: ACM, 2024. <a href=\"https://doi.org/10.1145/3627673.3679819\">https://doi.org/10.1145/3627673.3679819</a>."},"year":"2024","place":"Boise","author":[{"last_name":"Kamdem Teyou","full_name":"Kamdem Teyou, Louis Mozart","first_name":"Louis Mozart"},{"first_name":"Caglar","full_name":"Demir, Caglar","last_name":"Demir"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_created":"2025-11-28T14:42:32Z","publisher":"ACM","date_updated":"2025-11-28T14:57:24Z","conference":{"name":"33rd ACM International Conference on Information and Knowledge Management","start_date":"2024-10-21","end_date":"2024-10-25","location":"Boise"},"doi":"10.1145/3627673.3679819","title":"Embedding Knowledge Graphs in Function Spaces","type":"conference","publication":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","status":"public","abstract":[{"text":"We introduce a novel embedding method diverging from conventional approaches by operating within function spaces of finite dimension rather than finite vector space, thus departing significantly from standard knowledge graph embedding techniques. Initially employing polynomial functions to compute embeddings, we progress to more intricate representations using neural networks with varying layer complexities. We argue that employing functions for embedding computation enhances expressiveness and allows for more degrees of freedom, enabling operations such as composition, derivatives and primitive of entities representation. Additionally, we meticulously outline the step-by-step construction of our approach and provide code for reproducibility, thereby facilitating further exploration and application in the field.","lang":"eng"}],"user_id":"101165","department":[{"_id":"34"},{"_id":"574"}],"_id":"62703","language":[{"iso":"eng"}]},{"publication":"Optica Quantum","type":"journal_article","status":"public","department":[{"_id":"288"},{"_id":"623"},{"_id":"288"}],"user_id":"63574","_id":"56267","project":[{"name":"QuICHE: Quanteninformation und Quantenkommunikation mit hochdimensionaler Informationskodierung (QuICHE)","_id":"211"}],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["2837-6714"]},"publication_status":"published","citation":{"apa":"Serino, L., Ridder, W., Bhattacharjee, A., Gil López, J., Brecht, B., &#38; Silberhorn, C. (2024). Orchestrating time and color: a programmable source of high-dimensional entanglement. <i>Optica Quantum</i>. <a href=\"https://doi.org/10.1364/opticaq.532334\">https://doi.org/10.1364/opticaq.532334</a>","bibtex":"@article{Serino_Ridder_Bhattacharjee_Gil López_Brecht_Silberhorn_2024, title={Orchestrating time and color: a programmable source of high-dimensional entanglement}, DOI={<a href=\"https://doi.org/10.1364/opticaq.532334\">10.1364/opticaq.532334</a>}, journal={Optica Quantum}, publisher={Optica Publishing Group}, author={Serino, Laura and Ridder, Werner and Bhattacharjee, Abhinandan and Gil López, Jano and Brecht, Benjamin and Silberhorn, Christine}, year={2024} }","mla":"Serino, Laura, et al. “Orchestrating Time and Color: A Programmable Source of High-Dimensional Entanglement.” <i>Optica Quantum</i>, Optica Publishing Group, 2024, doi:<a href=\"https://doi.org/10.1364/opticaq.532334\">10.1364/opticaq.532334</a>.","short":"L. Serino, W. Ridder, A. Bhattacharjee, J. Gil López, B. Brecht, C. Silberhorn, Optica Quantum (2024).","ama":"Serino L, Ridder W, Bhattacharjee A, Gil López J, Brecht B, Silberhorn C. Orchestrating time and color: a programmable source of high-dimensional entanglement. <i>Optica Quantum</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1364/opticaq.532334\">10.1364/opticaq.532334</a>","chicago":"Serino, Laura, Werner Ridder, Abhinandan Bhattacharjee, Jano Gil López, Benjamin Brecht, and Christine Silberhorn. “Orchestrating Time and Color: A Programmable Source of High-Dimensional Entanglement.” <i>Optica Quantum</i>, 2024. <a href=\"https://doi.org/10.1364/opticaq.532334\">https://doi.org/10.1364/opticaq.532334</a>.","ieee":"L. Serino, W. Ridder, A. Bhattacharjee, J. Gil López, B. Brecht, and C. Silberhorn, “Orchestrating time and color: a programmable source of high-dimensional entanglement,” <i>Optica Quantum</i>, 2024, doi: <a href=\"https://doi.org/10.1364/opticaq.532334\">10.1364/opticaq.532334</a>."},"year":"2024","date_created":"2024-09-27T11:46:59Z","author":[{"full_name":"Serino, Laura","id":"88242","last_name":"Serino","first_name":"Laura"},{"first_name":"Werner","id":"63574","full_name":"Ridder, Werner","last_name":"Ridder"},{"last_name":"Bhattacharjee","id":"95902","full_name":"Bhattacharjee, Abhinandan","first_name":"Abhinandan"},{"first_name":"Jano","full_name":"Gil López, Jano","id":"51223","last_name":"Gil López"},{"first_name":"Benjamin","full_name":"Brecht, Benjamin","id":"27150","last_name":"Brecht","orcid":"0000-0003-4140-0556 "},{"last_name":"Silberhorn","id":"26263","full_name":"Silberhorn, Christine","first_name":"Christine"}],"publisher":"Optica Publishing Group","date_updated":"2025-12-01T08:49:46Z","doi":"10.1364/opticaq.532334","title":"Orchestrating time and color: a programmable source of high-dimensional entanglement"},{"citation":{"short":"T. Bornemann, Z. Novotny–Farkas, Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?, 2024.","mla":"Bornemann, Tobias, and Zoltán Novotny–Farkas. <i>Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?</i> 2024, doi:<a href=\"https://doi.org/10.2139/ssrn.4821642\">10.2139/ssrn.4821642</a>.","bibtex":"@book{Bornemann_Novotny–Farkas_2024, title={Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?}, DOI={<a href=\"https://doi.org/10.2139/ssrn.4821642\">10.2139/ssrn.4821642</a>}, author={Bornemann, Tobias and Novotny–Farkas, Zoltán}, year={2024} }","apa":"Bornemann, T., &#38; Novotny–Farkas, Z. (2024). <i>Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?</i> <a href=\"https://doi.org/10.2139/ssrn.4821642\">https://doi.org/10.2139/ssrn.4821642</a>","ieee":"T. Bornemann and Z. Novotny–Farkas, <i>Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?</i> 2024.","chicago":"Bornemann, Tobias, and Zoltán Novotny–Farkas. <i>Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?</i>, 2024. <a href=\"https://doi.org/10.2139/ssrn.4821642\">https://doi.org/10.2139/ssrn.4821642</a>.","ama":"Bornemann T, Novotny–Farkas Z. <i>Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?</i>; 2024. doi:<a href=\"https://doi.org/10.2139/ssrn.4821642\">10.2139/ssrn.4821642</a>"},"year":"2024","doi":"10.2139/ssrn.4821642","title":"Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?","author":[{"orcid":"0000-0003-4299-0551","last_name":"Bornemann","full_name":"Bornemann, Tobias","id":"88419","first_name":"Tobias"},{"first_name":"Zoltán","last_name":"Novotny–Farkas","full_name":"Novotny–Farkas, Zoltán"}],"date_created":"2025-12-02T08:50:03Z","date_updated":"2025-12-02T08:50:23Z","status":"public","type":"working_paper","language":[{"iso":"eng"}],"department":[{"_id":"187"}],"user_id":"96670","_id":"62739"},{"year":"2024","citation":{"bibtex":"@inproceedings{Morim da Silva_Srivastava_Moteu Ngoli_Röder_Moussallem_Ngonga Ngomo_2024, title={Benchmarking Low-Resource Machine Translation Systems}, DOI={<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>}, booktitle={Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)}, publisher={Association for Computational Linguistics}, author={Morim da Silva, Ana Alexandra and Srivastava, Nikit and Moteu Ngoli, Tatiana and Röder, Michael and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024} }","short":"A.A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem, A.-C. Ngonga Ngomo, in: Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024), Association for Computational Linguistics, 2024.","mla":"Morim da Silva, Ana Alexandra, et al. “Benchmarking Low-Resource Machine Translation Systems.” <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>, Association for Computational Linguistics, 2024, doi:<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>.","apa":"Morim da Silva, A. A., Srivastava, N., Moteu Ngoli, T., Röder, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). Benchmarking Low-Resource Machine Translation Systems. <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">https://doi.org/10.18653/v1/2024.loresmt-1.18</a>","chicago":"Morim da Silva, Ana Alexandra, Nikit Srivastava, Tatiana Moteu Ngoli, Michael Röder, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Benchmarking Low-Resource Machine Translation Systems.” In <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. Association for Computational Linguistics, 2024. <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">https://doi.org/10.18653/v1/2024.loresmt-1.18</a>.","ieee":"A. A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem, and A.-C. Ngonga Ngomo, “Benchmarking Low-Resource Machine Translation Systems,” 2024, doi: <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>.","ama":"Morim da Silva AA, Srivastava N, Moteu Ngoli T, Röder M, Moussallem D, Ngonga Ngomo A-C. Benchmarking Low-Resource Machine Translation Systems. In: <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. Association for Computational Linguistics; 2024. doi:<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>"},"publication_status":"published","title":"Benchmarking Low-Resource Machine Translation Systems","doi":"10.18653/v1/2024.loresmt-1.18","date_updated":"2025-12-02T19:29:53Z","publisher":"Association for Computational Linguistics","date_created":"2024-11-20T10:41:16Z","author":[{"first_name":"Ana Alexandra","last_name":"Morim da Silva","full_name":"Morim da Silva, Ana Alexandra","id":"72108"},{"orcid":"0009-0004-5164-4911","last_name":"Srivastava","id":"70066","full_name":"Srivastava, Nikit","first_name":"Nikit"},{"first_name":"Tatiana","id":"99174","full_name":"Moteu Ngoli, Tatiana","last_name":"Moteu Ngoli"},{"last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","full_name":"Röder, Michael","id":"67199","first_name":"Michael"},{"first_name":"Diego","id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"status":"public","type":"conference","publication":"Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)","language":[{"iso":"eng"}],"_id":"57278","user_id":"70066"},{"language":[{"iso":"ger"}],"department":[{"_id":"33"},{"_id":"376"}],"user_id":"4245","_id":"54784","status":"public","editor":[{"last_name":"Gerlach","full_name":"Gerlach, David","first_name":"David"}],"publication":"Wissen, Können und Handeln von Fremdsprachenlehrpersonen","type":"book_chapter","title":"Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte","author":[{"full_name":"Janzen, Thomas","id":"89329","last_name":"Janzen","orcid":"0009-0003-1941-166X","first_name":"Thomas"},{"id":"4245","full_name":"Vogelsang, Christoph","orcid":"0000-0002-5804-1855","last_name":"Vogelsang","first_name":"Christoph"},{"first_name":"Dominik","id":"76026","full_name":"Rumlich, Dominik","last_name":"Rumlich","orcid":"0000-0001-8682-450X"}],"date_created":"2024-06-17T09:46:13Z","date_updated":"2025-12-03T08:56:48Z","publisher":"Lang","page":"221-234","citation":{"ama":"Janzen T, Vogelsang C, Rumlich D. Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte. In: Gerlach D, ed. <i>Wissen, Können und Handeln von Fremdsprachenlehrpersonen</i>. Lang; 2024:221-234.","ieee":"T. Janzen, C. Vogelsang, and D. Rumlich, “Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte,” in <i>Wissen, Können und Handeln von Fremdsprachenlehrpersonen</i>, D. Gerlach, Ed. Lang, 2024, pp. 221–234.","chicago":"Janzen, Thomas, Christoph Vogelsang, and Dominik Rumlich. “Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte.” In <i>Wissen, Können und Handeln von Fremdsprachenlehrpersonen</i>, edited by David Gerlach, 221–34. Lang, 2024.","apa":"Janzen, T., Vogelsang, C., &#38; Rumlich, D. (2024). Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte. In D. Gerlach (Ed.), <i>Wissen, Können und Handeln von Fremdsprachenlehrpersonen</i> (pp. 221–234). Lang.","bibtex":"@inbook{Janzen_Vogelsang_Rumlich_2024, title={Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte}, booktitle={Wissen, Können und Handeln von Fremdsprachenlehrpersonen}, publisher={Lang}, author={Janzen, Thomas and Vogelsang, Christoph and Rumlich, Dominik}, editor={Gerlach, David}, year={2024}, pages={221–234} }","short":"T. Janzen, C. Vogelsang, D. Rumlich, in: D. Gerlach (Ed.), Wissen, Können und Handeln von Fremdsprachenlehrpersonen, Lang, 2024, pp. 221–234.","mla":"Janzen, Thomas, et al. “Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte.” <i>Wissen, Können und Handeln von Fremdsprachenlehrpersonen</i>, edited by David Gerlach, Lang, 2024, pp. 221–34."},"year":"2024","quality_controlled":"1","publication_identifier":{"unknown":["978-3-631-90410-7"]}},{"series_title":"Tagungsband zur GDCP Jahrestagung","user_id":"4245","department":[{"_id":"386"},{"_id":"33"},{"_id":"450"}],"_id":"54811","language":[{"iso":"eng"}],"type":"conference","publication":"Frühe naturwissenschaftliche Bildung","status":"public","editor":[{"first_name":"Helena","last_name":"van Vorst","full_name":"van Vorst, Helena"}],"date_created":"2024-06-18T14:38:45Z","author":[{"first_name":"Pascal","id":"44191","full_name":"Pollmeier, Pascal","last_name":"Pollmeier"},{"first_name":"Christoph","orcid":"0000-0002-5804-1855","last_name":"Vogelsang","id":"4245","full_name":"Vogelsang, Christoph"},{"full_name":"Rogge, Tim","last_name":"Rogge","first_name":"Tim"}],"volume":44,"date_updated":"2025-12-03T09:01:45Z","main_file_link":[{"url":"https://gdcp-ev.de/wp-content/uploads/securepdfs/2024/06/E04_Pollmeier.pdf"}],"conference":{"end_date":"2023-09-14","location":"Hamburg","name":"50. Jahrestagung der Gesellschaft für Didaktik der Chemie und Physik e.V.","start_date":"2023-09-11"},"title":"Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte","citation":{"apa":"Pollmeier, P., Vogelsang, C., &#38; Rogge, T. (2024). Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte. In H. van Vorst (Ed.), <i>Frühe naturwissenschaftliche Bildung</i> (Vol. 44).","mla":"Pollmeier, Pascal, et al. “Eigenvideografien Als Instrument Zur Professionalisierung Angehender Lehrkräfte.” <i>Frühe Naturwissenschaftliche Bildung</i>, edited by Helena van Vorst, vol. 44, 2024.","short":"P. Pollmeier, C. Vogelsang, T. Rogge, in: H. van Vorst (Ed.), Frühe Naturwissenschaftliche Bildung, Essen, 2024.","bibtex":"@inproceedings{Pollmeier_Vogelsang_Rogge_2024, place={Essen}, series={Tagungsband zur GDCP Jahrestagung}, title={Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte}, volume={44}, booktitle={Frühe naturwissenschaftliche Bildung}, author={Pollmeier, Pascal and Vogelsang, Christoph and Rogge, Tim}, editor={van Vorst, Helena}, year={2024}, collection={Tagungsband zur GDCP Jahrestagung} }","ieee":"P. Pollmeier, C. Vogelsang, and T. Rogge, “Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte,” in <i>Frühe naturwissenschaftliche Bildung</i>, Hamburg, 2024, vol. 44.","chicago":"Pollmeier, Pascal, Christoph Vogelsang, and Tim Rogge. “Eigenvideografien Als Instrument Zur Professionalisierung Angehender Lehrkräfte.” In <i>Frühe Naturwissenschaftliche Bildung</i>, edited by Helena van Vorst, Vol. 44. Tagungsband Zur GDCP Jahrestagung. Essen, 2024.","ama":"Pollmeier P, Vogelsang C, Rogge T. Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte. In: van Vorst H, ed. <i>Frühe Naturwissenschaftliche Bildung</i>. Vol 44. Tagungsband zur GDCP Jahrestagung. ; 2024."},"intvolume":"        44","place":"Essen","year":"2024"},{"publisher":"Springer Science and Business Media LLC","date_updated":"2025-12-03T12:51:26Z","volume":75,"date_created":"2025-12-03T12:37:08Z","author":[{"first_name":"Rasoul","last_name":"Najafi Koopas","full_name":"Najafi Koopas, Rasoul"},{"first_name":"Shahed","last_name":"Rezaei","full_name":"Rezaei, Shahed"},{"last_name":"Rauter","full_name":"Rauter, Natalie","first_name":"Natalie"},{"full_name":"Ostwald, Richard","id":"106876","last_name":"Ostwald","orcid":"0000-0003-2147-8444","first_name":"Richard"},{"first_name":"Rolf","last_name":"Lammering","full_name":"Lammering, Rolf"}],"title":"Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space","doi":"10.1007/s00466-024-02568-z","publication_identifier":{"issn":["0178-7675","1432-0924"]},"quality_controlled":"1","publication_status":"published","issue":"4","year":"2024","page":"1377-1406","intvolume":"        75","citation":{"ama":"Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. <i>Computational Mechanics</i>. 2024;75(4):1377-1406. doi:<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>","ieee":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space,” <i>Computational Mechanics</i>, vol. 75, no. 4, pp. 1377–1406, 2024, doi: <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>.","chicago":"Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald, and Rolf Lammering. “Introducing a Microstructure-Embedded Autoencoder Approach for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric Space.” <i>Computational Mechanics</i> 75, no. 4 (2024): 1377–1406. <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">https://doi.org/10.1007/s00466-024-02568-z</a>.","bibtex":"@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space}, volume={75}, DOI={<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>}, number={4}, journal={Computational Mechanics}, publisher={Springer Science and Business Media LLC}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024}, pages={1377–1406} }","short":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Computational Mechanics 75 (2024) 1377–1406.","mla":"Najafi Koopas, Rasoul, et al. “Introducing a Microstructure-Embedded Autoencoder Approach for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric Space.” <i>Computational Mechanics</i>, vol. 75, no. 4, Springer Science and Business Media LLC, 2024, pp. 1377–406, doi:<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>.","apa":"Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., &#38; Lammering, R. (2024). Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. <i>Computational Mechanics</i>, <i>75</i>(4), 1377–1406. <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">https://doi.org/10.1007/s00466-024-02568-z</a>"},"_id":"62767","department":[{"_id":"952"},{"_id":"321"}],"user_id":"85414","language":[{"iso":"eng"}],"publication":"Computational Mechanics","type":"journal_article","abstract":[{"text":"<jats:title>Abstract</jats:title>\r\n          <jats:p>In this study, we develop a novel multi-fidelity deep learning approach that transforms low-fidelity solution maps into high-fidelity ones by incorporating parametric space information into an autoencoder architecture. This method’s integration of parametric space information significantly reduces the amount of training data needed to effectively predict high-fidelity solutions from low-fidelity ones. In this study, we examine a two-dimensional steady-state heat transfer analysis within a heterogeneous materials microstructure. The heat conductivity coefficients for two different materials are condensed from a 101 <jats:inline-formula>\r\n              <jats:alternatives>\r\n                <jats:tex-math>$$\\times $$</jats:tex-math>\r\n                <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>×</mml:mo>\r\n                </mml:math>\r\n              </jats:alternatives>\r\n            </jats:inline-formula> 101 grid to smaller grids. We then solve the boundary value problem on the coarsest grid using a pre-trained physics-informed neural operator network known as Finite Operator Learning (FOL). The resulting low-fidelity solution is subsequently upscaled back to a 101 <jats:inline-formula>\r\n              <jats:alternatives>\r\n                <jats:tex-math>$$\\times $$</jats:tex-math>\r\n                <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>×</mml:mo>\r\n                </mml:math>\r\n              </jats:alternatives>\r\n            </jats:inline-formula> 101 grid using a newly designed enhanced autoencoder. The novelty of the developed enhanced autoencoder lies in the concatenation of heat conductivity maps of different resolutions to the decoder segment in distinct steps. Hence the developed algorithm is named microstructure-embedded autoencoder (MEA). We compare the MEA outcomes with those from finite element methods, the standard U-Net, and an interpolation approach as an upscaling technique. Our analysis shows that MEA outperforms these methods in terms of computational efficiency and error on representative test cases. As a result, the MEA serves as a potential supplement to neural operator networks, effectively upscaling low-fidelity solutions to high-fidelity while preserving critical details often lost in traditional upscaling methods, such as sharp interfaces features lost in the context of interpolation approaches.</jats:p>","lang":"eng"}],"status":"public"},{"language":[{"iso":"eng"}],"department":[{"_id":"952"},{"_id":"321"}],"user_id":"85414","_id":"62770","status":"public","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>The open-source parameter identification tool ADAPT (A diversely applicable parameter identification Tool) is integrated with a machine learning-based approach for start value prediction in order to calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network (ANN) is initially trained by using load–displacement curves derived from simulations of a boundary value problem—instead of using data generated for homogeneous states of deformation at material point or one-element level—with varying material parameter combinations. The ANN is then employed so as to predict sets of material parameters that already provide close solutions to the experiment. These predicted parameter sets serve as starting values for a subsequent multi-objective parameter identification by using ADAPT. ADAPT allows for the consideration of input data from multiple scales, including integral data such as load–displacement curves, full-field data such as displacement and strain fields, and high-resolution experimental void data at the micro-scale. The influence of each data set on prediction quality is analyzed. Using various types of input data introduces additional information, enhancing prediction accuracy. The validation is carried out with respect to experimental void measurements of forward rod extruded parts. The results demonstrate, by incorporating void measurements in the optimization process, that it is possible to improve the quantitative prediction of ductile damage in the sense of void area fractions by factor 28 in forward rod extrusion.</jats:p>","lang":"eng"}],"publication":"Archive of Applied Mechanics","type":"journal_article","doi":"10.1007/s00419-024-02634-1","title":"Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification","volume":94,"date_created":"2025-12-03T12:46:31Z","author":[{"last_name":"Gerlach","full_name":"Gerlach, Jan","first_name":"Jan"},{"first_name":"Robin","last_name":"Schulte","full_name":"Schulte, Robin"},{"full_name":"Schowtjak, Alexander","last_name":"Schowtjak","first_name":"Alexander"},{"first_name":"Till","last_name":"Clausmeyer","full_name":"Clausmeyer, Till"},{"id":"106876","full_name":"Ostwald, Richard","last_name":"Ostwald","orcid":"0000-0003-2147-8444","first_name":"Richard"},{"first_name":"A. Erman","full_name":"Tekkaya, A. Erman","last_name":"Tekkaya"},{"full_name":"Menzel, Andreas","last_name":"Menzel","first_name":"Andreas"}],"date_updated":"2025-12-03T12:50:41Z","publisher":"Springer Science and Business Media LLC","intvolume":"        94","page":"2217-2242","citation":{"ama":"Gerlach J, Schulte R, Schowtjak A, et al. Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification. <i>Archive of Applied Mechanics</i>. 2024;94(8):2217-2242. doi:<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>","ieee":"J. Gerlach <i>et al.</i>, “Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification,” <i>Archive of Applied Mechanics</i>, vol. 94, no. 8, pp. 2217–2242, 2024, doi: <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>.","chicago":"Gerlach, Jan, Robin Schulte, Alexander Schowtjak, Till Clausmeyer, Richard Ostwald, A. Erman Tekkaya, and Andreas Menzel. “Enhancing Damage Prediction in Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.” <i>Archive of Applied Mechanics</i> 94, no. 8 (2024): 2217–42. <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">https://doi.org/10.1007/s00419-024-02634-1</a>.","bibtex":"@article{Gerlach_Schulte_Schowtjak_Clausmeyer_Ostwald_Tekkaya_Menzel_2024, title={Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification}, volume={94}, DOI={<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>}, number={8}, journal={Archive of Applied Mechanics}, publisher={Springer Science and Business Media LLC}, author={Gerlach, Jan and Schulte, Robin and Schowtjak, Alexander and Clausmeyer, Till and Ostwald, Richard and Tekkaya, A. Erman and Menzel, Andreas}, year={2024}, pages={2217–2242} }","short":"J. Gerlach, R. Schulte, A. Schowtjak, T. Clausmeyer, R. Ostwald, A.E. Tekkaya, A. Menzel, Archive of Applied Mechanics 94 (2024) 2217–2242.","mla":"Gerlach, Jan, et al. “Enhancing Damage Prediction in Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.” <i>Archive of Applied Mechanics</i>, vol. 94, no. 8, Springer Science and Business Media LLC, 2024, pp. 2217–42, doi:<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>.","apa":"Gerlach, J., Schulte, R., Schowtjak, A., Clausmeyer, T., Ostwald, R., Tekkaya, A. E., &#38; Menzel, A. (2024). Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification. <i>Archive of Applied Mechanics</i>, <i>94</i>(8), 2217–2242. <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">https://doi.org/10.1007/s00419-024-02634-1</a>"},"year":"2024","issue":"8","publication_identifier":{"issn":["0939-1533","1432-0681"]},"quality_controlled":"1","publication_status":"published"},{"date_updated":"2025-12-03T12:51:12Z","publisher":"Elsevier BV","date_created":"2025-12-03T12:40:42Z","author":[{"first_name":"Rasoul","full_name":"Najafi Koopas, Rasoul","last_name":"Najafi Koopas"},{"first_name":"Shahed","last_name":"Rezaei","full_name":"Rezaei, Shahed"},{"first_name":"Natalie","full_name":"Rauter, Natalie","last_name":"Rauter"},{"first_name":"Richard","orcid":"0000-0003-2147-8444","last_name":"Ostwald","full_name":"Ostwald, Richard","id":"106876"},{"last_name":"Lammering","full_name":"Lammering, Rolf","first_name":"Rolf"}],"volume":314,"title":"A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties","doi":"10.1016/j.engfracmech.2024.110675","publication_status":"published","quality_controlled":"1","publication_identifier":{"issn":["0013-7944"]},"year":"2024","citation":{"bibtex":"@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties}, volume={314}, DOI={<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>}, number={110675}, journal={Engineering Fracture Mechanics}, publisher={Elsevier BV}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024} }","mla":"Najafi Koopas, Rasoul, et al. “A Spatiotemporal Deep Learning Framework for Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures to Its Fracture Properties.” <i>Engineering Fracture Mechanics</i>, vol. 314, 110675, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>.","short":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Engineering Fracture Mechanics 314 (2024).","apa":"Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., &#38; Lammering, R. (2024). A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties. <i>Engineering Fracture Mechanics</i>, <i>314</i>, Article 110675. <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">https://doi.org/10.1016/j.engfracmech.2024.110675</a>","ieee":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties,” <i>Engineering Fracture Mechanics</i>, vol. 314, Art. no. 110675, 2024, doi: <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>.","chicago":"Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald, and Rolf Lammering. “A Spatiotemporal Deep Learning Framework for Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures to Its Fracture Properties.” <i>Engineering Fracture Mechanics</i> 314 (2024). <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">https://doi.org/10.1016/j.engfracmech.2024.110675</a>.","ama":"Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties. <i>Engineering Fracture Mechanics</i>. 2024;314. doi:<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>"},"intvolume":"       314","_id":"62768","user_id":"85414","department":[{"_id":"952"},{"_id":"321"}],"article_number":"110675","language":[{"iso":"eng"}],"type":"journal_article","publication":"Engineering Fracture Mechanics","status":"public"},{"author":[{"first_name":"Katharina","id":"51905","full_name":"Brennig, Katharina","last_name":"Brennig"},{"orcid":"0000-0001-9581-4602","last_name":"Löhr","id":"56760","full_name":"Löhr, Bernd","first_name":"Bernd"},{"first_name":"Jonathan","full_name":"Brock, Jonathan","last_name":"Brock"},{"first_name":"Malte Fabian","id":"60641","full_name":"Reineke, Malte Fabian","last_name":"Reineke"},{"last_name":"Bartelheimer","full_name":"Bartelheimer, Christian","id":"49160","first_name":"Christian"}],"date_created":"2024-06-04T12:36:52Z","date_updated":"2025-12-03T14:12:14Z","conference":{"name":"30th Americas Conference on Information Systems (AMCIS)"},"main_file_link":[{"url":"https://aisel.aisnet.org/amcis2024/dsa/dsa/14/"}],"title":"Maximizing the Impact of Process Mining Research: Four Strategic Guidelines","citation":{"apa":"Brennig, K., Löhr, B., Brock, J., Reineke, M. F., &#38; Bartelheimer, C. (2024). Maximizing the Impact of Process Mining Research: Four Strategic Guidelines. <i>Americas Conference on Information Systems (AMCIS)</i>. 30th Americas Conference on Information Systems (AMCIS).","mla":"Brennig, Katharina, et al. “Maximizing the Impact of Process Mining Research: Four Strategic Guidelines.” <i>Americas Conference on Information Systems (AMCIS)</i>, 2024.","short":"K. Brennig, B. Löhr, J. Brock, M.F. Reineke, C. Bartelheimer, in: Americas Conference on Information Systems (AMCIS), 2024.","bibtex":"@inproceedings{Brennig_Löhr_Brock_Reineke_Bartelheimer_2024, title={Maximizing the Impact of Process Mining Research: Four Strategic Guidelines}, booktitle={Americas Conference on Information Systems (AMCIS)}, author={Brennig, Katharina and Löhr, Bernd and Brock, Jonathan and Reineke, Malte Fabian and Bartelheimer, Christian}, year={2024} }","ama":"Brennig K, Löhr B, Brock J, Reineke MF, Bartelheimer C. Maximizing the Impact of Process Mining Research: Four Strategic Guidelines. In: <i>Americas Conference on Information Systems (AMCIS)</i>. ; 2024.","chicago":"Brennig, Katharina, Bernd Löhr, Jonathan Brock, Malte Fabian Reineke, and Christian Bartelheimer. “Maximizing the Impact of Process Mining Research: Four Strategic Guidelines.” In <i>Americas Conference on Information Systems (AMCIS)</i>, 2024.","ieee":"K. Brennig, B. Löhr, J. Brock, M. F. Reineke, and C. Bartelheimer, “Maximizing the Impact of Process Mining Research: Four Strategic Guidelines,” presented at the 30th Americas Conference on Information Systems (AMCIS), 2024."},"year":"2024","department":[{"_id":"195"}],"user_id":"56760","_id":"54589","language":[{"iso":"eng"}],"publication":"Americas Conference on Information Systems (AMCIS)","type":"conference","status":"public"},{"year":"2024","citation":{"chicago":"Reineke, Malte Fabian, and Christian Bartelheimer. “Assessing the Impact of Organizational Culture on Workarounds: A Maturity Model.” In <i>AMCIS 2024 TREOs</i>, 2024.","ieee":"M. F. Reineke and C. Bartelheimer, “Assessing the impact of organizational culture on workarounds: A maturity model,” Salt Lake City, Utah, USA, 2024.","ama":"Reineke MF, Bartelheimer C. Assessing the impact of organizational culture on workarounds: A maturity model. In: <i>AMCIS 2024 TREOs</i>. ; 2024.","short":"M.F. Reineke, C. Bartelheimer, in: AMCIS 2024 TREOs, 2024.","mla":"Reineke, Malte Fabian, and Christian Bartelheimer. “Assessing the Impact of Organizational Culture on Workarounds: A Maturity Model.” <i>AMCIS 2024 TREOs</i>, 11, 2024.","bibtex":"@inproceedings{Reineke_Bartelheimer_2024, title={Assessing the impact of organizational culture on workarounds: A maturity model}, number={11}, booktitle={AMCIS 2024 TREOs}, author={Reineke, Malte Fabian and Bartelheimer, Christian}, year={2024} }","apa":"Reineke, M. F., &#38; Bartelheimer, C. (2024). Assessing the impact of organizational culture on workarounds: A maturity model. <i>AMCIS 2024 TREOs</i>, Article 11."},"date_updated":"2025-12-03T14:08:49Z","author":[{"first_name":"Malte Fabian","id":"60641","full_name":"Reineke, Malte Fabian","last_name":"Reineke"},{"last_name":"Bartelheimer","id":"49160","full_name":"Bartelheimer, Christian","first_name":"Christian"}],"date_created":"2025-12-03T14:07:18Z","title":"Assessing the impact of organizational culture on workarounds: A maturity model","main_file_link":[{"url":"https://aisel.aisnet.org/treos_amcis2024/11/"}],"conference":{"location":"Salt Lake City, Utah, USA"},"type":"conference","publication":"AMCIS 2024 TREOs","status":"public","_id":"62796","user_id":"60641","department":[{"_id":"195"}],"article_number":"11","language":[{"iso":"eng"}]},{"doi":"10.1016/j.carbon.2024.118946","title":"Inductively coupled plasma spectroscopy for heteroatom-doped carbonaceous materials: Limitations and acid choice for digestion","volume":223,"date_created":"2025-11-27T13:15:58Z","author":[{"first_name":"Rémi F.","last_name":"André","full_name":"André, Rémi F."},{"last_name":"Brandt","full_name":"Brandt, Jessica","first_name":"Jessica"},{"first_name":"Johannes","last_name":"Schmidt","full_name":"Schmidt, Johannes"},{"last_name":"López-Salas","full_name":"López-Salas, Nieves","first_name":"Nieves"},{"first_name":"Mateusz","full_name":"Odziomek, Mateusz","last_name":"Odziomek"},{"first_name":"Markus","full_name":"Antonietti, Markus","last_name":"Antonietti"}],"publisher":"Elsevier BV","date_updated":"2025-12-03T14:57:29Z","intvolume":"       223","citation":{"mla":"André, Rémi F., et al. “Inductively Coupled Plasma Spectroscopy for Heteroatom-Doped Carbonaceous Materials: Limitations and Acid Choice for Digestion.” <i>Carbon</i>, vol. 223, 118946, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.carbon.2024.118946\">10.1016/j.carbon.2024.118946</a>.","bibtex":"@article{André_Brandt_Schmidt_López-Salas_Odziomek_Antonietti_2024, title={Inductively coupled plasma spectroscopy for heteroatom-doped carbonaceous materials: Limitations and acid choice for digestion}, volume={223}, DOI={<a href=\"https://doi.org/10.1016/j.carbon.2024.118946\">10.1016/j.carbon.2024.118946</a>}, number={118946}, journal={Carbon}, publisher={Elsevier BV}, author={André, Rémi F. and Brandt, Jessica and Schmidt, Johannes and López-Salas, Nieves and Odziomek, Mateusz and Antonietti, Markus}, year={2024} }","short":"R.F. André, J. Brandt, J. Schmidt, N. López-Salas, M. Odziomek, M. Antonietti, Carbon 223 (2024).","apa":"André, R. F., Brandt, J., Schmidt, J., López-Salas, N., Odziomek, M., &#38; Antonietti, M. (2024). Inductively coupled plasma spectroscopy for heteroatom-doped carbonaceous materials: Limitations and acid choice for digestion. <i>Carbon</i>, <i>223</i>, Article 118946. <a href=\"https://doi.org/10.1016/j.carbon.2024.118946\">https://doi.org/10.1016/j.carbon.2024.118946</a>","ama":"André RF, Brandt J, Schmidt J, López-Salas N, Odziomek M, Antonietti M. Inductively coupled plasma spectroscopy for heteroatom-doped carbonaceous materials: Limitations and acid choice for digestion. <i>Carbon</i>. 2024;223. doi:<a href=\"https://doi.org/10.1016/j.carbon.2024.118946\">10.1016/j.carbon.2024.118946</a>","ieee":"R. F. André, J. Brandt, J. Schmidt, N. López-Salas, M. Odziomek, and M. 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Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report. In: Aldrich J, Salvaneschi G, eds. <i>38th European Conference on Object-Oriented Programming (ECOOP 2024)</i>. Vol 313. Leibniz International Proceedings in Informatics (LIPIcs). Schloss Dagstuhl – Leibniz-Zentrum für Informatik; 2024:36:1–36:28. doi:<a href=\"https://doi.org/10.4230/LIPIcs.ECOOP.2024.36\">10.4230/LIPIcs.ECOOP.2024.36</a>","chicago":"Schiebel, Fabian Benedikt, Florian Sattler, Philipp Dominik Schubert, Sven Apel, and Eric Bodden. “Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report.” In <i>38th European Conference on Object-Oriented Programming (ECOOP 2024)</i>, edited by Jonathan Aldrich and Guido Salvaneschi, 313:36:1–36:28. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024. <a href=\"https://doi.org/10.4230/LIPIcs.ECOOP.2024.36\">https://doi.org/10.4230/LIPIcs.ECOOP.2024.36</a>.","ieee":"F. B. Schiebel, F. Sattler, P. D. Schubert, S. Apel, and E. Bodden, “Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report,” in <i>38th European Conference on Object-Oriented Programming (ECOOP 2024)</i>, 2024, vol. 313, p. 36:1–36:28, doi: <a href=\"https://doi.org/10.4230/LIPIcs.ECOOP.2024.36\">10.4230/LIPIcs.ECOOP.2024.36</a>.","apa":"Schiebel, F. B., Sattler, F., Schubert, P. D., Apel, S., &#38; Bodden, E. (2024). Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report. In J. Aldrich &#38; G. Salvaneschi (Eds.), <i>38th European Conference on Object-Oriented Programming (ECOOP 2024)</i> (Vol. 313, p. 36:1–36:28). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. <a href=\"https://doi.org/10.4230/LIPIcs.ECOOP.2024.36\">https://doi.org/10.4230/LIPIcs.ECOOP.2024.36</a>","short":"F.B. Schiebel, F. Sattler, P.D. Schubert, S. Apel, E. Bodden, in: J. Aldrich, G. Salvaneschi (Eds.), 38th European Conference on Object-Oriented Programming (ECOOP 2024), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2024, p. 36:1–36:28.","mla":"Schiebel, Fabian Benedikt, et al. “Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report.” <i>38th European Conference on Object-Oriented Programming (ECOOP 2024)</i>, edited by Jonathan Aldrich and Guido Salvaneschi, vol. 313, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024, p. 36:1–36:28, doi:<a href=\"https://doi.org/10.4230/LIPIcs.ECOOP.2024.36\">10.4230/LIPIcs.ECOOP.2024.36</a>.","bibtex":"@inproceedings{Schiebel_Sattler_Schubert_Apel_Bodden_2024, place={Dagstuhl, Germany}, series={Leibniz International Proceedings in Informatics (LIPIcs)}, title={Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report}, volume={313}, DOI={<a href=\"https://doi.org/10.4230/LIPIcs.ECOOP.2024.36\">10.4230/LIPIcs.ECOOP.2024.36</a>}, booktitle={38th European Conference on Object-Oriented Programming (ECOOP 2024)}, publisher={Schloss Dagstuhl – Leibniz-Zentrum für Informatik}, author={Schiebel, Fabian Benedikt and Sattler, Florian and Schubert, Philipp Dominik and Apel, Sven and Bodden, Eric}, editor={Aldrich, Jonathan and Salvaneschi, Guido}, year={2024}, pages={36:1–36:28}, collection={Leibniz International Proceedings in Informatics (LIPIcs)} }"},"intvolume":"       313","page":"36:1–36:28","place":"Dagstuhl, Germany","year":"2024","user_id":"15249","series_title":"Leibniz International Proceedings in Informatics (LIPIcs)","department":[{"_id":"76"},{"_id":"662"}],"_id":"56863","language":[{"iso":"eng"}],"type":"conference","publication":"38th European Conference on Object-Oriented Programming (ECOOP 2024)","status":"public","editor":[{"first_name":"Jonathan","full_name":"Aldrich, Jonathan","last_name":"Aldrich"},{"full_name":"Salvaneschi, Guido","last_name":"Salvaneschi","first_name":"Guido"}]},{"title":"Bildungsforschung","date_updated":"2025-12-04T08:33:27Z","publisher":"Metzler","date_created":"2025-12-04T08:06:51Z","year":"2024","page":"1-9","citation":{"ama":"Drerup J, Göddertz N, Ruprecht M, Thole W, Uhlendorff U, eds. <i>Bildungsforschung</i>. Metzler; 2024:1-9.","ieee":"J. Drerup, N. Göddertz, M. Ruprecht, W. Thole, and U. Uhlendorff, Eds., <i>Bildungsforschung</i>. Metzler, 2024, pp. 1–9.","chicago":"Drerup, Johannes , Nina Göddertz, Mattig Ruprecht, Werner Thole, and Uwe Uhlendorff, eds. <i>Bildungsforschung</i>. Metzler, 2024.","short":"J. Drerup, N. Göddertz, M. Ruprecht, W. Thole, U. Uhlendorff, eds., Bildungsforschung, Metzler, 2024.","bibtex":"@book{Drerup_Göddertz_Ruprecht_Thole_Uhlendorff_2024, title={Bildungsforschung}, publisher={Metzler}, year={2024}, pages={1–9} }","mla":"Drerup, Johannes, et al., editors. <i>Bildungsforschung</i>. Metzler, 2024, pp. 1–9.","apa":"Drerup, J., Göddertz, N., Ruprecht, M., Thole, W., &#38; Uhlendorff, U. (Eds.). (2024). <i>Bildungsforschung</i> (pp. 1–9). Metzler."},"publication_identifier":{"isbn":["9783662669235","978-3-662-66922-8"]},"publication_status":"published","language":[{"iso":"ger"}],"alternative_title":["Kindheit - Bildung - Erziehung. Philosophische Perspektiven"],"_id":"62826","department":[{"_id":"723"},{"_id":"724"},{"_id":"935"}],"user_id":"48187","abstract":[{"text":"Der Begriff 'Bildungsforschung' erweist sich als nicht minder umstritten als der Begriff der Bildung selbst. Bildungsforschung fungiert in der Diskussion häufig als eine Art Regenschirmbegriff, mit dem ein Forschungsprofil markiert wird, das es ermöglichen soll, schulische, insbesondere unterrichtsbezogene Bildungsprozesse empirisch zu erfassen und von Schüler_innen zu erwerbende Kompetenzen festzulegen und mit Hilfe quantitativer Verfahren zu evaluieren. Im Rahmen von anderen Forschungstraditionen geht man auf kritische Distanz zu diesem inhaltlich und methodisch allzu sehr eingeschränkten Verständnis von Bildungsforschung. Im Zentrum des Bandes stehen erziehungswissenschaftliche Zugänge und Beiträge zur Bildungsforschung und damit verbundene disziplinäre Perspektiven und forschungsmethodologische Fragestellungen.","lang":"eng"}],"editor":[{"first_name":"Johannes ","full_name":"Drerup, Johannes ","last_name":"Drerup"},{"first_name":"Nina","full_name":"Göddertz, Nina","id":"94171","last_name":"Göddertz"},{"first_name":"Mattig","last_name":"Ruprecht","full_name":"Ruprecht, Mattig"},{"last_name":"Thole","full_name":"Thole, Werner","first_name":"Werner"},{"first_name":"Uwe","full_name":"Uhlendorff, Uwe","last_name":"Uhlendorff"}],"status":"public","type":"book_editor"},{"related_material":{"link":[{"url":"https://aisel.aisnet.org/ecis2024/track12_digtrans/track12_digtrans/3/","relation":"confirmation"}]},"quality_controlled":"1","publication_status":"published","citation":{"ieee":"M. Althaus and P. Hansmeier, “The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach,” presented at the ECIS 2024, Paphos, Cyprus, 2024.","chicago":"Althaus, Maike, and Philipp Hansmeier. “The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach.” In <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>, 2024.","ama":"Althaus M, Hansmeier P. The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach. In: <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>. ; 2024.","short":"M. Althaus, P. Hansmeier, in: Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024), 2024.","mla":"Althaus, Maike, and Philipp Hansmeier. “The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach.” <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>, 2024.","bibtex":"@inproceedings{Althaus_Hansmeier_2024, title={The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach}, booktitle={Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)}, author={Althaus, Maike and Hansmeier, Philipp}, year={2024} }","apa":"Althaus, M., &#38; Hansmeier, P. (2024). The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach. <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>. ECIS 2024, Paphos, Cyprus."},"jel":["Z1"],"year":"2024","date_created":"2024-05-07T15:03:35Z","author":[{"first_name":"Maike","last_name":"Althaus","full_name":"Althaus, Maike","id":"61896"},{"first_name":"Philipp","id":"55603","full_name":"Hansmeier, Philipp","last_name":"Hansmeier"}],"date_updated":"2025-12-04T12:08:50Z","conference":{"location":"Paphos, Cyprus","name":"ECIS 2024"},"title":"The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach","publication":"Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)","type":"conference","status":"public","abstract":[{"text":"Excellent Information Systems (IS) bachelor or master student theses have the potential to inform the\r\nscientific community about interesting findings about IS phenomena. However, transforming such\r\ntheses into scientific working papers is not only time-consuming for the student and the supervisor, but\r\nalso purely voluntary. Part of the problem is that few IS faculties offer any structured course for the\r\ntransformation process as part of their curriculum. This significantly reduces the proportion of\r\noutstanding theses that are developed into working papers and, ultimately, into publications, resulting\r\nin a loss of knowledge for the broader IS community. To address this structural deficit, we aim to\r\ndevelop and implement a credit course and open educational resources (e.g., course schedule, slides,\r\nvideos) that support students in developing their theses into publishable scientific research papers. This\r\napproach not only enriches the scientific discourse but also presents a research-oriented educational\r\ndisruption for the IS community.","lang":"eng"}],"department":[{"_id":"276"},{"_id":"526"}],"user_id":"55603","_id":"54025","language":[{"iso":"eng"}],"keyword":["Student Thesis","Scientific Publishing","Course Implementation"]},{"author":[{"id":"55603","full_name":"Hansmeier, Philipp","last_name":"Hansmeier","first_name":"Philipp"},{"full_name":"zur Heiden, Philipp","id":"64394","last_name":"zur Heiden","first_name":"Philipp"},{"first_name":"Daniel","last_name":"Beverungen","id":"59677","full_name":"Beverungen, Daniel"}],"date_created":"2024-05-27T07:49:44Z","date_updated":"2025-12-04T12:08:26Z","conference":{"location":"Paphos"},"title":"MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE ","related_material":{"link":[{"relation":"confirmation","url":"https://aisel.aisnet.org/ecis2024/track10_dmds_ecosystems/track10_dmds_ecosystems/8/"}]},"quality_controlled":"1","citation":{"bibtex":"@inproceedings{Hansmeier_zur Heiden_Beverungen_2024, title={MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE }, booktitle={Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)}, author={Hansmeier, Philipp and zur Heiden, Philipp and Beverungen, Daniel}, year={2024} }","short":"P. Hansmeier, P. zur Heiden, D. Beverungen, in: Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024), 2024.","mla":"Hansmeier, Philipp, et al. “MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE .” <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>, 2024.","apa":"Hansmeier, P., zur Heiden, P., &#38; Beverungen, D. (2024). MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE . <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>.","ama":"Hansmeier P, zur Heiden P, Beverungen D. MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE . In: <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>. ; 2024.","ieee":"P. Hansmeier, P. zur Heiden, and D. Beverungen, “MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE ,” Paphos, 2024.","chicago":"Hansmeier, Philipp, Philipp zur Heiden, and Daniel Beverungen. “MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE .” In <i>Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)</i>, 2024."},"jel":["L86"],"year":"2024","user_id":"55603","_id":"54454","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)","status":"public"}]