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W., &#38; Schryen, G. (2023). Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. <i>Transportation Research Part D</i>, <i>121</i>, Article 103832.","ieee":"P. Dieter, M. Stumpe, M. W. Ulmer, and G. Schryen, “Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing,” <i>Transportation Research Part D</i>, vol. 121, Art. no. 103832, 2023.","chicago":"Dieter, Peter, Miriam Stumpe, Marlin Wolf Ulmer, and Guido Schryen. “Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing.” <i>Transportation Research Part D</i> 121 (2023).","short":"P. Dieter, M. Stumpe, M.W. Ulmer, G. Schryen, Transportation Research Part D 121 (2023).","mla":"Dieter, Peter, et al. “Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing.” <i>Transportation Research Part D</i>, vol. 121, 103832, 2023.","ama":"Dieter P, Stumpe M, Ulmer MW, Schryen G. Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. <i>Transportation Research Part D</i>. 2023;121.","bibtex":"@article{Dieter_Stumpe_Ulmer_Schryen_2023, title={Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing}, volume={121}, number={103832}, journal={Transportation Research Part D}, author={Dieter, Peter and Stumpe, Miriam and Ulmer, Marlin Wolf and Schryen, Guido}, year={2023} }"},"oa":"1"},{"publication_status":"published","date_updated":"2023-07-20T09:44:28Z","year":"2023","status":"public","title":"Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum","author":[{"id":"45701","full_name":"Leineweber, Jonas","last_name":"Leineweber","first_name":"Jonas","orcid":"0000-0001-8616-3051"}],"user_id":"45701","main_file_link":[{"url":"www.hsozkult.de/conferencereport/id/fdkn-137626","open_access":"1"}],"_id":"46102","language":[{"iso":"ger"}],"publisher":"H-Soz-Kult","citation":{"mla":"Leineweber, Jonas. <i>Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum</i>. H-Soz-Kult, 2023.","ama":"Leineweber J. <i>Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum</i>. H-Soz-Kult; 2023.","bibtex":"@book{Leineweber_2023, title={Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum}, publisher={H-Soz-Kult}, author={Leineweber, Jonas}, year={2023} }","apa":"Leineweber, J. (2023). <i>Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum</i>. H-Soz-Kult.","ieee":"J. Leineweber, <i>Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum</i>. H-Soz-Kult, 2023.","short":"J. Leineweber, Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum, H-Soz-Kult, 2023.","chicago":"Leineweber, Jonas. <i>Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum</i>. H-Soz-Kult, 2023."},"type":"report","department":[{"_id":"443"}],"oa":"1","date_created":"2023-07-20T09:24:25Z"},{"publication":"Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen","citation":{"short":"T. Janzen, S. Gabel, M. Gampert, F. Matz, J. Reckermann, in: L. Mrohs, M. Hess, K. Lindner, J. Schlüter, S. Overhage (Eds.), Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen, University of Bamberg Press, Bamberg, 2023, pp. 151–154.","chicago":"Janzen, Thomas, Stephan Gabel, Martha Gampert, Frauke Matz, and Julia Reckermann. “Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik.” In <i>Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen</i>, edited by Lorenz Mrohs, Miriam Hess, Konstantin Lindner, Julia Schlüter, and Sven Overhage, 151–54. Bamberg: University of Bamberg Press, 2023.","apa":"Janzen, T., Gabel, S., Gampert, M., Matz, F., &#38; Reckermann, J. (2023). Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik. In L. Mrohs, M. Hess, K. Lindner, J. Schlüter, &#38; S. Overhage (Eds.), <i>Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen</i> (pp. 151–154). University of Bamberg Press.","ieee":"T. Janzen, S. Gabel, M. Gampert, F. Matz, and J. Reckermann, “Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik,” in <i>Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen</i>, L. Mrohs, M. Hess, K. Lindner, J. Schlüter, and S. Overhage, Eds. Bamberg: University of Bamberg Press, 2023, pp. 151–154.","ama":"Janzen T, Gabel S, Gampert M, Matz F, Reckermann J. Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik. In: Mrohs L, Hess M, Lindner K, Schlüter J, Overhage S, eds. <i>Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen</i>. University of Bamberg Press; 2023:151-154.","bibtex":"@inbook{Janzen_Gabel_Gampert_Matz_Reckermann_2023, place={Bamberg}, title={Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik}, booktitle={Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen}, publisher={University of Bamberg Press}, author={Janzen, Thomas and Gabel, Stephan and Gampert, Martha and Matz, Frauke and Reckermann, Julia}, editor={Mrohs, Lorenz and Hess, Miriam and Lindner, Konstantin and Schlüter, Julia and Overhage, Sven}, year={2023}, pages={151–154} }","mla":"Janzen, Thomas, et al. “Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik.” <i>Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen</i>, edited by Lorenz Mrohs et al., University of Bamberg Press, 2023, pp. 151–54."},"type":"book_chapter","oa":"1","date_created":"2023-07-26T07:43:00Z","place":"Bamberg","date_updated":"2023-07-26T07:43:35Z","title":"Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik","status":"public","year":"2023","author":[{"id":"89329","last_name":"Janzen","first_name":"Thomas","full_name":"Janzen, Thomas"},{"first_name":"Stephan","last_name":"Gabel","full_name":"Gabel, Stephan"},{"full_name":"Gampert, Martha","last_name":"Gampert","first_name":"Martha"},{"last_name":"Matz","first_name":"Frauke","full_name":"Matz, Frauke"},{"full_name":"Reckermann, Julia","last_name":"Reckermann","first_name":"Julia"}],"publication_identifier":{"unknown":["978-3-86309-887-2"]},"user_id":"89329","editor":[{"full_name":"Mrohs, Lorenz","first_name":"Lorenz","last_name":"Mrohs"},{"first_name":"Miriam","last_name":"Hess","full_name":"Hess, Miriam"},{"full_name":"Lindner, Konstantin","last_name":"Lindner","first_name":"Konstantin"},{"full_name":"Schlüter, Julia","first_name":"Julia","last_name":"Schlüter"},{"full_name":"Overhage, Sven","first_name":"Sven","last_name":"Overhage"}],"page":"151-154","main_file_link":[{"url":"https://fis.uni-bamberg.de/server/api/core/bitstreams/66b34f39-efd1-4755-9b4a-d528853441fd/content","open_access":"1"}],"language":[{"iso":"ger"}],"_id":"46154","publisher":"University of Bamberg Press"},{"doi":"10.1145/3576200","main_file_link":[{"open_access":"1","url":"https://dl.acm.org/doi/10.1145/3576200"}],"language":[{"iso":"eng"}],"date_updated":"2023-07-28T08:02:05Z","publication_status":"published","year":"2023","title":"Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks","publication_identifier":{"issn":["1936-7406","1936-7414"]},"author":[{"last_name":"Meyer","first_name":"Marius","full_name":"Meyer, Marius","id":"40778"},{"full_name":"Kenter, Tobias","first_name":"Tobias","last_name":"Kenter","id":"3145"},{"id":"16153","full_name":"Plessl, Christian","orcid":"0000-0001-5728-9982","last_name":"Plessl","first_name":"Christian"}],"keyword":["General Computer Science"],"type":"journal_article","department":[{"_id":"27"},{"_id":"518"}],"date_created":"2023-01-23T08:40:42Z","abstract":[{"lang":"eng","text":"<jats:p>While FPGA accelerator boards and their respective high-level design tools are maturing, there is still a lack of multi-FPGA applications, libraries, and not least, benchmarks and reference implementations towards sustained HPC usage of these devices. As in the early days of GPUs in HPC, for workloads that can reasonably be decoupled into loosely coupled working sets, multi-accelerator support can be achieved by using standard communication interfaces like MPI on the host side. However, for performance and productivity, some applications can profit from a tighter coupling of the accelerators. FPGAs offer unique opportunities here when extending the dataflow characteristics to their communication interfaces.</jats:p>\r\n          <jats:p>In this work, we extend the HPCC FPGA benchmark suite by multi-FPGA support and three missing benchmarks that particularly characterize or stress inter-device communication: b_eff, PTRANS, and LINPACK. With all benchmarks implemented for current boards with Intel and Xilinx FPGAs, we established a baseline for multi-FPGA performance. Additionally, for the communication-centric benchmarks, we explored the potential of direct FPGA-to-FPGA communication with a circuit-switched inter-FPGA network that is currently only available for one of the boards. The evaluation with parallel execution on up to 26 FPGA boards makes use of one of the largest academic FPGA installations.</jats:p>"}],"publication":"ACM Transactions on Reconfigurable Technology and Systems","user_id":"24135","publisher":"Association for Computing Machinery (ACM)","_id":"38041","status":"public","oa":"1","quality_controlled":"1","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"name":"SFB 901: SFB 901","_id":"1","grant_number":"160364472"},{"grant_number":"160364472","_id":"14","name":"SFB 901 - C2: SFB 901 - Subproject C2"}],"citation":{"bibtex":"@article{Meyer_Kenter_Plessl_2023, title={Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks}, DOI={<a href=\"https://doi.org/10.1145/3576200\">10.1145/3576200</a>}, journal={ACM Transactions on Reconfigurable Technology and Systems}, publisher={Association for Computing Machinery (ACM)}, author={Meyer, Marius and Kenter, Tobias and Plessl, Christian}, year={2023} }","ama":"Meyer M, Kenter T, Plessl C. Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. <i>ACM Transactions on Reconfigurable Technology and Systems</i>. Published online 2023. doi:<a href=\"https://doi.org/10.1145/3576200\">10.1145/3576200</a>","mla":"Meyer, Marius, et al. “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks.” <i>ACM Transactions on Reconfigurable Technology and Systems</i>, Association for Computing Machinery (ACM), 2023, doi:<a href=\"https://doi.org/10.1145/3576200\">10.1145/3576200</a>.","short":"M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023).","chicago":"Meyer, Marius, Tobias Kenter, and Christian Plessl. “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks.” <i>ACM Transactions on Reconfigurable Technology and Systems</i>, 2023. <a href=\"https://doi.org/10.1145/3576200\">https://doi.org/10.1145/3576200</a>.","ieee":"M. Meyer, T. Kenter, and C. Plessl, “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks,” <i>ACM Transactions on Reconfigurable Technology and Systems</i>, 2023, doi: <a href=\"https://doi.org/10.1145/3576200\">10.1145/3576200</a>.","apa":"Meyer, M., Kenter, T., &#38; Plessl, C. (2023). Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. <i>ACM Transactions on Reconfigurable Technology and Systems</i>. <a href=\"https://doi.org/10.1145/3576200\">https://doi.org/10.1145/3576200</a>"}},{"file":[{"creator":"cdemir","date_created":"2023-08-01T09:11:59Z","file_name":"public.pdf","access_level":"open_access","file_size":408352,"relation":"main_file","date_updated":"2023-08-01T09:11:59Z","file_id":"46244","content_type":"application/pdf"}],"date_created":"2023-08-01T09:12:06Z","type":"journal_article","oa":"1","publication":"ECML-PKDD","file_date_updated":"2023-08-01T09:11:59Z","citation":{"apa":"Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras. <i>ECML-PKDD</i>. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino.","ieee":"C. Demir and A.-C. Ngonga Ngomo, “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras,” <i>ECML-PKDD</i>, 2023.","short":"C. Demir, A.-C. Ngonga Ngomo, ECML-PKDD (2023).","chicago":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras.” <i>ECML-PKDD</i>, 2023.","mla":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras.” <i>ECML-PKDD</i>, 2023.","ama":"Demir C, Ngonga Ngomo A-C. Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras. <i>ECML-PKDD</i>. Published online 2023.","bibtex":"@article{Demir_Ngonga Ngomo_2023, title={Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras}, journal={ECML-PKDD}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }"},"project":[{"name":"ENEXA: Efficient Explainable Learning on Knowledge Graphs","grant_number":"101070305","_id":"407"},{"_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"},{"name":"SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems","grant_number":"NW21-059D","_id":"285"}],"language":[{"iso":"eng"}],"_id":"46243","ddc":["000"],"user_id":"43817","year":"2023","status":"public","title":"Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras","conference":{"name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases","location":"Torino"},"author":[{"full_name":"Demir, Caglar","last_name":"Demir","first_name":"Caglar","id":"43817"},{"last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2023-08-01T09:22:40Z","has_accepted_license":"1"},{"ddc":["000"],"user_id":"43817","_id":"46251","language":[{"iso":"eng"}],"has_accepted_license":"1","date_updated":"2023-08-01T09:44:30Z","conference":{"name":"International Joint Conference on Artificial Intelligence IJCAI 2023","location":"Macau"},"author":[{"id":"43817","full_name":"Demir, Caglar","first_name":"Caglar","last_name":"Demir"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo"}],"year":"2023","status":"public","title":"Neuro-Symbolic Class Expression Learning","oa":"1","department":[{"_id":"574"}],"type":"journal_article","date_created":"2023-08-01T09:30:37Z","file":[{"date_created":"2023-08-01T09:30:35Z","creator":"cdemir","file_id":"46252","content_type":"application/pdf","relation":"main_file","date_updated":"2023-08-01T09:30:35Z","file_name":"public.pdf","file_size":340865,"access_level":"open_access"}],"project":[{"grant_number":"101070305","_id":"407","name":"ENEXA: Efficient Explainable Learning on Knowledge Graphs"},{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"},{"name":"SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems","_id":"285","grant_number":"NW21-059D"}],"citation":{"mla":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” <i>International Joint Conference on Artificial Intelligence</i>, 2023.","ama":"Demir C, Ngonga Ngomo A-C. Neuro-Symbolic Class Expression Learning. <i>International Joint Conference on Artificial Intelligence</i>. Published online 2023.","bibtex":"@article{Demir_Ngonga Ngomo_2023, title={Neuro-Symbolic Class Expression Learning}, journal={International Joint Conference on Artificial Intelligence}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","apa":"Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Neuro-Symbolic Class Expression Learning. <i>International Joint Conference on Artificial Intelligence</i>. International Joint Conference on Artificial Intelligence IJCAI 2023, Macau.","ieee":"C. Demir and A.-C. Ngonga Ngomo, “Neuro-Symbolic Class Expression Learning,” <i>International Joint Conference on Artificial Intelligence</i>, 2023.","short":"C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).","chicago":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” <i>International Joint Conference on Artificial Intelligence</i>, 2023."},"publication":"International Joint Conference on Artificial Intelligence","file_date_updated":"2023-08-01T09:30:35Z"},{"citation":{"mla":"Schade, Robert, et al. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” <i>The International Journal of High Performance Computing Applications</i>, 109434202311776, SAGE Publications, 2023, doi:<a href=\"https://doi.org/10.1177/10943420231177631\">10.1177/10943420231177631</a>.","apa":"Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., &#38; Plessl, C. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. <i>The International Journal of High Performance Computing Applications</i>, Article 109434202311776. <a href=\"https://doi.org/10.1177/10943420231177631\">https://doi.org/10.1177/10943420231177631</a>","ieee":"R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics,” <i>The International Journal of High Performance Computing Applications</i>, Art. no. 109434202311776, 2023, doi: <a href=\"https://doi.org/10.1177/10943420231177631\">10.1177/10943420231177631</a>.","chicago":"Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas Kühne, and Christian Plessl. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” <i>The International Journal of High Performance Computing Applications</i>, 2023. <a href=\"https://doi.org/10.1177/10943420231177631\">https://doi.org/10.1177/10943420231177631</a>.","ama":"Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. <i>The International Journal of High Performance Computing Applications</i>. Published online 2023. doi:<a href=\"https://doi.org/10.1177/10943420231177631\">10.1177/10943420231177631</a>","short":"R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).","bibtex":"@article{Schade_Kenter_Elgabarty_Lass_Kühne_Plessl_2023, title={Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics}, DOI={<a href=\"https://doi.org/10.1177/10943420231177631\">10.1177/10943420231177631</a>}, number={109434202311776}, journal={The International Journal of High Performance Computing Applications}, publisher={SAGE Publications}, author={Schade, Robert and Kenter, Tobias and Elgabarty, Hossam and Lass, Michael and Kühne, Thomas and Plessl, Christian}, year={2023} }"},"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"quality_controlled":"1","oa":"1","status":"public","publisher":"SAGE Publications","_id":"45361","user_id":"75963","publication":"The International Journal of High Performance Computing Applications","abstract":[{"text":"<jats:p> The non-orthogonal local submatrix method applied to electronic structure–based molecular dynamics simulations is shown to exceed 1.1 EFLOP/s in FP16/FP32-mixed floating-point arithmetic when using 4400 NVIDIA A100 GPUs of the Perlmutter system. This is enabled by a modification of the original method that pushes the sustained fraction of the peak performance to about 80%. Example calculations are performed for SARS-CoV-2 spike proteins with up to 83 million atoms. </jats:p>","lang":"eng"}],"date_created":"2023-05-30T09:19:09Z","department":[{"_id":"27"},{"_id":"518"}],"type":"journal_article","keyword":["Hardware and Architecture","Theoretical Computer Science","Software"],"publication_identifier":{"issn":["1094-3420","1741-2846"]},"author":[{"full_name":"Schade, Robert","orcid":"0000-0002-6268-539","first_name":"Robert","last_name":"Schade","id":"75963"},{"full_name":"Kenter, Tobias","first_name":"Tobias","last_name":"Kenter","id":"3145"},{"id":"60250","full_name":"Elgabarty, Hossam","first_name":"Hossam","last_name":"Elgabarty","orcid":"0000-0002-4945-1481"},{"id":"24135","full_name":"Lass, Michael","last_name":"Lass","first_name":"Michael","orcid":"0000-0002-5708-7632"},{"full_name":"Kühne, Thomas","first_name":"Thomas","last_name":"Kühne","id":"49079"},{"id":"16153","full_name":"Plessl, Christian","last_name":"Plessl","first_name":"Christian","orcid":"0000-0001-5728-9982"}],"year":"2023","title":"Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics","article_type":"original","date_updated":"2023-08-02T15:04:53Z","publication_status":"published","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://journals.sagepub.com/doi/10.1177/10943420231177631","open_access":"1"}],"article_number":"109434202311776","doi":"10.1177/10943420231177631"},{"file_date_updated":"2023-07-24T08:42:01Z","citation":{"mla":"Tornede, Alexander. <i>Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions</i>. 2023, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1780 \">10.17619/UNIPB/1-1780 </a>.","apa":"Tornede, A. (2023). <i>Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1780 \">https://doi.org/10.17619/UNIPB/1-1780 </a>","ieee":"A. Tornede, <i>Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions</i>. 2023.","short":"A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.","ama":"Tornede A. <i>Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions</i>.; 2023. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1780 \">10.17619/UNIPB/1-1780 </a>","chicago":"Tornede, Alexander. <i>Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions</i>, 2023. <a href=\"https://doi.org/10.17619/UNIPB/1-1780 \">https://doi.org/10.17619/UNIPB/1-1780 </a>.","bibtex":"@book{Tornede_2023, title={Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1780 \">10.17619/UNIPB/1-1780 </a>}, author={Tornede, Alexander}, year={2023} }"},"supervisor":[{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"project":[{"_id":"10","grant_number":"160364472","name":"SFB 901 - B2: Konfiguration und Bewertung (B02)"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"1","grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten "}],"oa":"1","status":"public","has_accepted_license":"1","_id":"45780","user_id":"15504","ddc":["006"],"file":[{"date_created":"2023-07-24T08:40:35Z","creator":"ahetzer","title":" Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions","content_type":"application/pdf","file_id":"46118","date_updated":"2023-07-24T08:42:01Z","relation":"main_file","file_size":4300633,"access_level":"open_access","file_name":"dissertation_alexander_tornede_final_publishing_compressed.pdf"}],"date_created":"2023-06-27T05:20:14Z","type":"dissertation","department":[{"_id":"355"}],"year":"2023","title":"Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions","author":[{"full_name":"Tornede, Alexander","last_name":"Tornede","first_name":"Alexander","id":"38209"}],"date_updated":"2023-08-04T06:01:49Z","language":[{"iso":"eng"}],"doi":"10.17619/UNIPB/1-1780 "},{"has_accepted_license":"1","status":"public","volume":421,"ddc":["510"],"user_id":"85279","_id":"29240","publisher":"Elsevier","page":"114780","quality_controlled":"1","citation":{"short":"S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780.","chicago":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” <i>Journal of Computational and Applied Mathematics</i> 421 (2023): 114780. <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">https://doi.org/10.1016/j.cam.2022.114780</a>.","ieee":"S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,” <i>Journal of Computational and Applied Mathematics</i>, vol. 421, p. 114780, 2023, doi: <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>.","apa":"Ober-Blöbaum, S., &#38; Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. <i>Journal of Computational and Applied Mathematics</i>, <i>421</i>, 114780. <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">https://doi.org/10.1016/j.cam.2022.114780</a>","bibtex":"@article{Ober-Blöbaum_Offen_2023, title={Variational Learning of Euler–Lagrange Dynamics from Data}, volume={421}, DOI={<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier}, author={Ober-Blöbaum, Sina and Offen, Christian}, year={2023}, pages={114780} }","ama":"Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from Data. <i>Journal of Computational and Applied Mathematics</i>. 2023;421:114780. doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>","mla":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” <i>Journal of Computational and Applied Mathematics</i>, vol. 421, Elsevier, 2023, p. 114780, doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>."},"file_date_updated":"2022-06-28T15:25:50Z","oa":"1","external_id":{"arxiv":["2112.12619"]},"intvolume":"       421","article_type":"original","date_updated":"2023-08-10T08:42:39Z","publication_status":"epub_ahead","publication_identifier":{"issn":["0377-0427"]},"author":[{"id":"16494","full_name":"Ober-Blöbaum, Sina","first_name":"Sina","last_name":"Ober-Blöbaum"},{"id":"85279","first_name":"Christian","orcid":"0000-0002-5940-8057","last_name":"Offen","full_name":"Offen, Christian"}],"year":"2023","title":"Variational Learning of Euler–Lagrange Dynamics from Data","doi":"10.1016/j.cam.2022.114780","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"The principle of least action is one of the most fundamental physical principle. It says that among all possible motions connecting two points in a phase space, the system will exhibit those motions which extremise an action functional. Many qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equations, are related to the existence of an action functional. Incorporating variational structure into learning algorithms for dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features with the exact physical system. In this paper we show how to incorporate variational principles into trajectory predictions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position data of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no prior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward error analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the learned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,\r\nwe introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of variational backward error analysis. (3) Finally, we introduce a method to perform system identification from position observations only, based on variational backward error analysis."}],"related_material":{"link":[{"url":"https://github.com/Christian-Offen/LagrangianShadowIntegration","relation":"software"}]},"publication":"Journal of Computational and Applied Mathematics","department":[{"_id":"636"}],"keyword":["Lagrangian learning","variational backward error analysis","modified Lagrangian","variational integrators","physics informed learning"],"type":"journal_article","date_created":"2022-01-11T13:24:00Z","file":[{"date_updated":"2022-06-28T15:25:50Z","relation":"main_file","access_level":"open_access","file_size":3640770,"file_name":"ShadowLagrangian_revision1_journal_style_arxiv.pdf","title":"Variational Learning of Euler–Lagrange Dynamics from Data","content_type":"application/pdf","file_id":"32274","creator":"coffen","description":"The principle of least action is one of the most fundamental physical principle. It says that among all possible motions\nconnecting two points in a phase space, the system will exhibit those motions which extremise an action functional.\nMany qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equa-\ntions, are related to the existence of an action functional. Incorporating variational structure into learning algorithms\nfor dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features\nwith the exact physical system. In this paper we show how to incorporate variational principles into trajectory predic-\ntions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position\ndata of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no\nprior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward\nerror analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the\nlearned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,\nwe introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of\nvariational backward error analysis. (3) Finally, we introduce a method to perform system identification from position\nobservations only, based on variational backward error analysis.","date_created":"2022-06-28T15:25:50Z"}]},{"status":"public","has_accepted_license":"1","page":"98-115","publisher":"AIMS Press","_id":"29236","ddc":["510"],"user_id":"85279","volume":15,"file_date_updated":"2022-08-12T16:48:59Z","citation":{"mla":"McLachlan, Robert, and Christian Offen. “Backward Error Analysis for Conjugate Symplectic Methods.” <i>Journal of Geometric Mechanics</i>, vol. 15, no. 1, AIMS Press, 2023, pp. 98–115, doi:<a href=\"https://doi.org/10.3934/jgm.2023005\">10.3934/jgm.2023005</a>.","bibtex":"@article{McLachlan_Offen_2023, title={Backward error analysis for conjugate symplectic methods}, volume={15}, DOI={<a href=\"https://doi.org/10.3934/jgm.2023005\">10.3934/jgm.2023005</a>}, number={1}, journal={Journal of Geometric Mechanics}, publisher={AIMS Press}, author={McLachlan, Robert and Offen, Christian}, year={2023}, pages={98–115} }","ama":"McLachlan R, Offen C. Backward error analysis for conjugate symplectic methods. <i>Journal of Geometric Mechanics</i>. 2023;15(1):98-115. doi:<a href=\"https://doi.org/10.3934/jgm.2023005\">10.3934/jgm.2023005</a>","ieee":"R. McLachlan and C. Offen, “Backward error analysis for conjugate symplectic methods,” <i>Journal of Geometric Mechanics</i>, vol. 15, no. 1, pp. 98–115, 2023, doi: <a href=\"https://doi.org/10.3934/jgm.2023005\">10.3934/jgm.2023005</a>.","apa":"McLachlan, R., &#38; Offen, C. (2023). Backward error analysis for conjugate symplectic methods. <i>Journal of Geometric Mechanics</i>, <i>15</i>(1), 98–115. <a href=\"https://doi.org/10.3934/jgm.2023005\">https://doi.org/10.3934/jgm.2023005</a>","chicago":"McLachlan, Robert, and Christian Offen. “Backward Error Analysis for Conjugate Symplectic Methods.” <i>Journal of Geometric Mechanics</i> 15, no. 1 (2023): 98–115. <a href=\"https://doi.org/10.3934/jgm.2023005\">https://doi.org/10.3934/jgm.2023005</a>.","short":"R. McLachlan, C. Offen, Journal of Geometric Mechanics 15 (2023) 98–115."},"quality_controlled":"1","external_id":{"arxiv":["2201.03911"]},"oa":"1","year":"2023","title":"Backward error analysis for conjugate symplectic methods","author":[{"full_name":"McLachlan, Robert","first_name":"Robert","last_name":"McLachlan"},{"last_name":"Offen","orcid":"0000-0002-5940-8057","first_name":"Christian","full_name":"Offen, Christian","id":"85279"}],"date_updated":"2023-08-10T08:40:30Z","publication_status":"published","intvolume":"        15","article_type":"original","language":[{"iso":"eng"}],"doi":"10.3934/jgm.2023005","publication":"Journal of Geometric Mechanics","issue":"1","related_material":{"link":[{"relation":"software","url":"https://github.com/Christian-Offen/BEAConjugateSymplectic"}]},"abstract":[{"lang":"eng","text":"The numerical solution of an ordinary differential equation can be interpreted as the exact solution of a nearby modified equation. Investigating the behaviour of numerical solutions by analysing the modified equation is known as backward error analysis. If the original and modified equation share structural properties, then the exact and approximate solution share geometric features such as the existence of conserved quantities. Conjugate symplectic methods preserve a modified symplectic form and a modified Hamiltonian when applied to a Hamiltonian system. We show how a blended version of variational and symplectic techniques can be used to compute modified symplectic and Hamiltonian structures. In contrast to other approaches, our backward error analysis method does not rely on an ansatz but computes the structures systematically, provided that a variational formulation of the method is known. The technique is illustrated on the example of symmetric linear multistep methods with matrix coefficients."}],"file":[{"creator":"coffen","description":"The numerical solution of an ordinary differential equation can be interpreted as the exact solution of a nearby modified equation. Investigating the behaviour of numerical solutions by analysing the modified equation is known as backward error analysis. If the original and modified equation share structural properties, then the exact and approximate solution share geometric features such as the existence of conserved quantities. Conjugate symplectic methods preserve a modified symplectic form and a modified Hamiltonian when applied to a Hamiltonian system. We show how a blended version of variational and symplectic techniques can be used to compute modified symplectic and Hamiltonian structures. In contrast to other approaches, our backward error analysis method does not rely on an ansatz but computes the structures systematically, provided that a variational formulation of the method is known. The technique is illustrated on the example of symmetric linear multistep methods with matrix coefficients.","date_created":"2022-08-12T16:48:59Z","relation":"main_file","date_updated":"2022-08-12T16:48:59Z","file_name":"BEA_MultiStep_Matrix.pdf","access_level":"open_access","file_size":827030,"title":"Backward error analysis for conjugate symplectic methods","file_id":"32801","content_type":"application/pdf"}],"date_created":"2022-01-11T12:48:39Z","type":"journal_article","keyword":["variational integrators","backward error analysis","Euler--Lagrange equations","multistep methods","conjugate symplectic methods"],"department":[{"_id":"636"}]},{"file_date_updated":"2023-04-26T16:20:56Z","citation":{"bibtex":"@article{Dierkes_Offen_Ober-Blöbaum_Flaßkamp_2023, title={Hamiltonian Neural Networks with Automatic Symmetry Detection}, volume={33}, DOI={<a href=\"https://doi.org/10.1063/5.0142969\">10.1063/5.0142969</a>}, number={6063115}, journal={Chaos}, publisher={AIP Publishing}, author={Dierkes, Eva and Offen, Christian and Ober-Blöbaum, Sina and Flaßkamp, Kathrin}, year={2023} }","ama":"Dierkes E, Offen C, Ober-Blöbaum S, Flaßkamp K. Hamiltonian Neural Networks with Automatic Symmetry Detection. <i>Chaos</i>. 2023;33(6). doi:<a href=\"https://doi.org/10.1063/5.0142969\">10.1063/5.0142969</a>","mla":"Dierkes, Eva, et al. “Hamiltonian Neural Networks with Automatic Symmetry Detection.” <i>Chaos</i>, vol. 33, no. 6, 063115, AIP Publishing, 2023, doi:<a href=\"https://doi.org/10.1063/5.0142969\">10.1063/5.0142969</a>.","short":"E. Dierkes, C. Offen, S. Ober-Blöbaum, K. Flaßkamp, Chaos 33 (2023).","chicago":"Dierkes, Eva, Christian Offen, Sina Ober-Blöbaum, and Kathrin Flaßkamp. “Hamiltonian Neural Networks with Automatic Symmetry Detection.” <i>Chaos</i> 33, no. 6 (2023). <a href=\"https://doi.org/10.1063/5.0142969\">https://doi.org/10.1063/5.0142969</a>.","ieee":"E. Dierkes, C. Offen, S. Ober-Blöbaum, and K. Flaßkamp, “Hamiltonian Neural Networks with Automatic Symmetry Detection,” <i>Chaos</i>, vol. 33, no. 6, Art. no. 063115, 2023, doi: <a href=\"https://doi.org/10.1063/5.0142969\">10.1063/5.0142969</a>.","apa":"Dierkes, E., Offen, C., Ober-Blöbaum, S., &#38; Flaßkamp, K. (2023). Hamiltonian Neural Networks with Automatic Symmetry Detection. <i>Chaos</i>, <i>33</i>(6), Article 063115. <a href=\"https://doi.org/10.1063/5.0142969\">https://doi.org/10.1063/5.0142969</a>"},"oa":"1","external_id":{"arxiv":["2301.07928"]},"has_accepted_license":"1","status":"public","user_id":"85279","ddc":["510"],"volume":33,"publisher":"AIP Publishing","_id":"37654","related_material":{"link":[{"description":"GitHub","relation":"software","url":"https://github.com/eva-dierkes/HNN_withSymmetries"}]},"abstract":[{"text":"Recently, Hamiltonian neural networks (HNN) have been introduced to incorporate prior physical knowledge when\r\nlearning the dynamical equations of Hamiltonian systems. Hereby, the symplectic system structure is preserved despite\r\nthe data-driven modeling approach. However, preserving symmetries requires additional attention. In this research, we\r\nenhance the HNN with a Lie algebra framework to detect and embed symmetries in the neural network. This approach\r\nallows to simultaneously learn the symmetry group action and the total energy of the system. As illustrating examples,\r\na pendulum on a cart and a two-body problem from astrodynamics are considered.","lang":"eng"}],"publication":"Chaos","issue":"6","type":"journal_article","department":[{"_id":"636"}],"file":[{"description":"Incorporating physical system knowledge into data-driven\nsystem identification has been shown to be beneficial. The\napproach presented in this article combines learning of an\nenergy-conserving model from data with detecting a Lie\ngroup representation of the unknown system symmetry.\nThe proposed approach can improve the learned model\nand reveal underlying symmetry simultaneously.","date_created":"2023-04-26T16:20:56Z","creator":"coffen","title":"Hamiltonian Neural Networks with Automatic Symmetry Detection","file_id":"44205","content_type":"application/pdf","relation":"main_file","date_updated":"2023-04-26T16:20:56Z","file_name":"JournalPaper_main.pdf","access_level":"open_access","file_size":5200111}],"date_created":"2023-01-20T09:10:06Z","publication_status":"published","date_updated":"2023-08-10T08:37:01Z","article_type":"original","intvolume":"        33","title":"Hamiltonian Neural Networks with Automatic Symmetry Detection","year":"2023","author":[{"first_name":"Eva","last_name":"Dierkes","full_name":"Dierkes, Eva"},{"first_name":"Christian","orcid":"0000-0002-5940-8057","last_name":"Offen","full_name":"Offen, Christian","id":"85279"},{"full_name":"Ober-Blöbaum, Sina","first_name":"Sina","last_name":"Ober-Blöbaum","id":"16494"},{"full_name":"Flaßkamp, Kathrin","last_name":"Flaßkamp","first_name":"Kathrin"}],"publication_identifier":{"issn":["1054-1500"]},"doi":"10.1063/5.0142969","article_number":"063115","language":[{"iso":"eng"}]},{"citation":{"short":"A. Sprenger, Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen, Universität Paderborn, Paderborn, 2023.","chicago":"Sprenger, Alexander. <i>Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen</i>. Paderborn: Universität Paderborn, 2023. <a href=\"https://doi.org/10.17619/UNIPB/1-1787\">https://doi.org/10.17619/UNIPB/1-1787</a>.","apa":"Sprenger, A. (2023). <i>Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen</i>. Universität Paderborn. <a href=\"https://doi.org/10.17619/UNIPB/1-1787\">https://doi.org/10.17619/UNIPB/1-1787</a>","ieee":"A. Sprenger, <i>Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen</i>. Paderborn: Universität Paderborn, 2023.","ama":"Sprenger A. <i>Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen</i>. Universität Paderborn; 2023. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1787\">10.17619/UNIPB/1-1787</a>","bibtex":"@book{Sprenger_2023, place={Paderborn}, title={Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1787\">10.17619/UNIPB/1-1787</a>}, publisher={Universität Paderborn}, author={Sprenger, Alexander}, year={2023} }","mla":"Sprenger, Alexander. <i>Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen</i>. Universität Paderborn, 2023, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1787\">10.17619/UNIPB/1-1787</a>."},"supervisor":[{"id":"209","full_name":"Hellebrand, Sybille","last_name":"Hellebrand","orcid":"0000-0002-3717-3939","first_name":"Sybille"},{"last_name":"Platzner","first_name":"Marco","full_name":"Platzner, Marco","id":"398"}],"oa":"1","place":"Paderborn","status":"public","user_id":"22707","publisher":"Universität Paderborn","_id":"46482","page":"xi, 160","extern":"1","abstract":[{"lang":"eng","text":"Ever increasing demands on the performance of microchips are leading to ever more complex semiconductor technologies with ever shrinking feature sizes. Complex applications with high demands on safety and reliability, such as autonomous driving, are simultaneously driving the requirements for test and diagnosis of VLSI circuits. Throughout the life cycle of a microchip, uncertainties occur that affect its timing behavior. For example, weak circuit structures, aging effects, or process variations can lead to a change in the timing behavior of the circuit. While these uncertainties do not necessarily lead to a change of the functional behavior, they can lead to a reliability problem.\r\nWith modular and hybrid compaction two test instruments are presented in this work that can be used for X-tolerant test response compaction in the built-in Faster-than-At-Speed Test (FAST) which is used to detect uncertainties in VLSI circuits. One challenge for test response compaction during FAST is the high and varying X-rate at the outputs of the circuit under test. By dividing the circuit outputs into test groups and separately compacting these test groups using stochastic compactors, the modular compaction is able to handle these high and varying X-rates.\r\nTo deal with uncertainties on logic interconnects, a method for distinguishing crosstalk and process variation is presented. In current semiconductor technologies, the number of parasitic coupling capacitances between logic interconnects is growing. These coupling capacitances can lead to crosstalk, which causes increased current flow in the logic interconnects, which in turn can lead to increased electromigration. In the presented method, delay maps describing the timing behavior of the circuit outputs at different operating points are used to train artificial neural networks which classify the tested circuits into fault-free and faulty."},{"lang":"ger","text":"Immer größere Anforderungen an die Leistungsfähigkeit von Mikrochips führen zu Halbleitertechnologien mit immer kleiner werdenden Strukturgrößen. Anwendungen mit hohen Ansprüchen an Sicherheit und Zuverlässigkeit, wie z.B. das autonome Fahren, treiben gleichzeitig die Anforderungen an den Test hochintegrierter Schaltungen an. Während des gesamten Lebenszyklus eines Mikrochips kommt es zu Unsicherheiten im Zeitverhalten. So können z.B. schwache Schaltungsstrukturen, Alterungseffekte oder Prozessvariationen zu einer Veränderung des Zeitverhaltens führen. Während diese Unsicherheiten nicht zu einer Veränderung des funktionalen Verhaltens führen müssen, können sie jedoch zu einem Zuverlässigkeitsproblem führen.\r\nMit der modularen und der hybriden Kompaktierung werden in dieser Arbeit zwei Testinstrumente vorgestellt, die für die X-tolerante Testantwortkompaktierung im eingebauten Hochgeschwindigkeitstest verwendet werden können. Eine Herausforderung für die Testantwortkompaktierung während des Hochgeschwindigkeitstests ist die hohe und variierende X-Rate an den Ausgängen der zu testenden Schaltung. Durch die Einteilung der Schaltungsausgänge in Prüfgruppen und die separierte Kompaktierung der Prüfgruppen mithilfe von stochastischen Kompaktierern, können die vorgestellten Verfahren diese hohen und variierenden X-Raten verarbeiten.\r\nFür den Umgang mit Unsicherheiten auf Verbindungsleitungen der Logik-Schaltung wird ein Verfahren zur Unterscheidung von Übersprechen und Prozessvariation vorgestellt. In aktuellen Halbleitertechnologien kommt es vermehrt zu parasitären Koppelkapazitäten zwischen den Verbindungsleitungen. In dem vorgestellten Verfahren werden künstliche neuronale Netze trainiert, um die Schaltungen in fehlerfrei und fehlerhaft zu klassifizieren."}],"department":[{"_id":"48"}],"keyword":["Testantwortkompaktierung","Prozessvariation","Silicon Lifecycle Management"],"type":"dissertation","date_created":"2023-08-12T09:10:38Z","publication_status":"published","date_updated":"2023-08-12T09:13:18Z","author":[{"full_name":"Sprenger, Alexander","orcid":"0000-0002-0775-7677","first_name":"Alexander","last_name":"Sprenger","id":"22707"}],"title":"Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen","year":"2023","doi":"10.17619/UNIPB/1-1787","language":[{"iso":"ger"}],"main_file_link":[{"url":"https://nbn-resolving.org/urn:nbn:de:hbz:466:2-45493","open_access":"1"}]},{"department":[{"_id":"655"}],"oa":"1","type":"preprint","date_created":"2023-08-21T05:52:24Z","external_id":{"arxiv":["2307.15325"]},"abstract":[{"text":"The Koopman operator has become an essential tool for data-driven analysis, prediction and control of complex systems, the main reason being the enormous potential of identifying linear function space representations of nonlinear\r\ndynamics from measurements. Until now, the situation where for large-scale systems, we (i) only have access to partial observations (i.e., measurements, as is very common for experimental data) or (ii) deliberately perform coarse\r\ngraining (for efficiency reasons) has not been treated to its full extent. In this paper, we address the pitfall associated with this situation, that the classical EDMD algorithm does not automatically provide a Koopman operator approximation for the underlying system if we do not carefully select the number of observables. Moreover, we show that symmetries in the system dynamics can be carried over to the Koopman operator, which allows us to massively increase the model efficiency. We also briefly draw a connection to domain decomposition techniques for partial differential equations and present numerical evidence using the Kuramoto--Sivashinsky equation.","lang":"eng"}],"citation":{"ama":"Peitz S, Harder H, Nüske F, Philipp F, Schaller M, Worthmann K. Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems. <i>arXiv:230715325</i>. Published online 2023.","bibtex":"@article{Peitz_Harder_Nüske_Philipp_Schaller_Worthmann_2023, title={Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems}, journal={arXiv:2307.15325}, author={Peitz, Sebastian and Harder, Hans and Nüske, Feliks and Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl}, year={2023} }","mla":"Peitz, Sebastian, et al. “Partial Observations, Coarse Graining and Equivariance in Koopman  Operator Theory for Large-Scale Dynamical Systems.” <i>ArXiv:2307.15325</i>, 2023.","short":"S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325 (2023).","chicago":"Peitz, Sebastian, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Partial Observations, Coarse Graining and Equivariance in Koopman  Operator Theory for Large-Scale Dynamical Systems.” <i>ArXiv:2307.15325</i>, 2023.","apa":"Peitz, S., Harder, H., Nüske, F., Philipp, F., Schaller, M., &#38; Worthmann, K. (2023). Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems. In <i>arXiv:2307.15325</i>.","ieee":"S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, and K. Worthmann, “Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems,” <i>arXiv:2307.15325</i>. 2023."},"publication":"arXiv:2307.15325","user_id":"47427","_id":"46579","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/pdf/2307.15325"}],"date_updated":"2023-08-21T05:53:35Z","author":[{"orcid":"0000-0002-3389-793X","first_name":"Sebastian","last_name":"Peitz","full_name":"Peitz, Sebastian","id":"47427"},{"full_name":"Harder, Hans","last_name":"Harder","first_name":"Hans","id":"98879"},{"full_name":"Nüske, Feliks","last_name":"Nüske","first_name":"Feliks"},{"first_name":"Friedrich","last_name":"Philipp","full_name":"Philipp, Friedrich"},{"last_name":"Schaller","first_name":"Manuel","full_name":"Schaller, Manuel"},{"first_name":"Karl","last_name":"Worthmann","full_name":"Worthmann, Karl"}],"year":"2023","status":"public","title":"Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems"},{"date_created":"2023-06-13T18:32:33Z","department":[{"_id":"728"}],"keyword":["Metastable particles","Nanomaterials","Quartz-crystal-microbalance","Molecular-beam mass spectrometry","Tetramethylsilane","Reaction kinetics"],"type":"journal_article","publication":"Applications in Energy and Combustion Science","language":[{"iso":"eng"}],"article_number":"100152","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2666352X23000419","open_access":"1"}],"doi":"10.1016/j.jaecs.2023.100152","author":[{"id":"95069","first_name":"Yasin","last_name":"Karakaya","full_name":"Karakaya, Yasin"},{"full_name":"Somnitz, H.","first_name":"H.","last_name":"Somnitz"},{"last_name":"Hermsen","first_name":"A.","full_name":"Hermsen, A."},{"id":"94996","last_name":"Gonchikzhapov","orcid":"https://orcid.org/0000-0002-7773-047X","first_name":"Munko","full_name":"Gonchikzhapov, Munko"},{"id":"94562","full_name":"Kasper, Tina","orcid":"0000-0003-3993-5316 ","last_name":"Kasper","first_name":"Tina"}],"publication_identifier":{"issn":["2666-352X"]},"title":"Revisiting the initial reaction rates for TMS combustion and a new evidence for metastable silica nanoparticles in the gas-phase synthesis","year":"2023","intvolume":"        14","publication_status":"published","date_updated":"2023-08-22T20:03:29Z","oa":"1","citation":{"bibtex":"@article{Karakaya_Somnitz_Hermsen_Gonchikzhapov_Kasper_2023, title={Revisiting the initial reaction rates for TMS combustion and a new evidence for metastable silica nanoparticles in the gas-phase synthesis}, volume={14}, DOI={<a href=\"https://doi.org/10.1016/j.jaecs.2023.100152\">10.1016/j.jaecs.2023.100152</a>}, number={100152}, journal={Applications in Energy and Combustion Science}, publisher={Elsevier BV}, author={Karakaya, Yasin and Somnitz, H. and Hermsen, A. and Gonchikzhapov, Munko and Kasper, Tina}, year={2023} }","ama":"Karakaya Y, Somnitz H, Hermsen A, Gonchikzhapov M, Kasper T. Revisiting the initial reaction rates for TMS combustion and a new evidence for metastable silica nanoparticles in the gas-phase synthesis. <i>Applications in Energy and Combustion Science</i>. 2023;14. doi:<a href=\"https://doi.org/10.1016/j.jaecs.2023.100152\">10.1016/j.jaecs.2023.100152</a>","mla":"Karakaya, Yasin, et al. “Revisiting the Initial Reaction Rates for TMS Combustion and a New Evidence for Metastable Silica Nanoparticles in the Gas-Phase Synthesis.” <i>Applications in Energy and Combustion Science</i>, vol. 14, 100152, Elsevier BV, 2023, doi:<a href=\"https://doi.org/10.1016/j.jaecs.2023.100152\">10.1016/j.jaecs.2023.100152</a>.","chicago":"Karakaya, Yasin, H. Somnitz, A. Hermsen, Munko Gonchikzhapov, and Tina Kasper. “Revisiting the Initial Reaction Rates for TMS Combustion and a New Evidence for Metastable Silica Nanoparticles in the Gas-Phase Synthesis.” <i>Applications in Energy and Combustion Science</i> 14 (2023). <a href=\"https://doi.org/10.1016/j.jaecs.2023.100152\">https://doi.org/10.1016/j.jaecs.2023.100152</a>.","short":"Y. Karakaya, H. Somnitz, A. Hermsen, M. Gonchikzhapov, T. Kasper, Applications in Energy and Combustion Science 14 (2023).","ieee":"Y. Karakaya, H. Somnitz, A. Hermsen, M. Gonchikzhapov, and T. Kasper, “Revisiting the initial reaction rates for TMS combustion and a new evidence for metastable silica nanoparticles in the gas-phase synthesis,” <i>Applications in Energy and Combustion Science</i>, vol. 14, Art. no. 100152, 2023, doi: <a href=\"https://doi.org/10.1016/j.jaecs.2023.100152\">10.1016/j.jaecs.2023.100152</a>.","apa":"Karakaya, Y., Somnitz, H., Hermsen, A., Gonchikzhapov, M., &#38; Kasper, T. (2023). Revisiting the initial reaction rates for TMS combustion and a new evidence for metastable silica nanoparticles in the gas-phase synthesis. <i>Applications in Energy and Combustion Science</i>, <i>14</i>, Article 100152. <a href=\"https://doi.org/10.1016/j.jaecs.2023.100152\">https://doi.org/10.1016/j.jaecs.2023.100152</a>"},"quality_controlled":"1","publisher":"Elsevier BV","_id":"45602","volume":14,"user_id":"94996","status":"public"},{"date_created":"2021-08-17T12:25:09Z","type":"journal_article","department":[{"_id":"101"},{"_id":"655"}],"publication":"Journal of Nonlinear Science","abstract":[{"text":"The Koopman operator has become an essential tool for data-driven approximation of dynamical (control) systems in recent years, e.g., via extended dynamic mode decomposition. Despite its popularity, convergence results and, in particular, error bounds are still quite scarce. In this paper, we derive probabilistic bounds for the approximation error and the prediction error depending on the number of training data points; for both ordinary and stochastic differential equations. Moreover, we extend our analysis to nonlinear control-affine systems using either ergodic trajectories or i.i.d.\r\nsamples. Here, we exploit the linearity of the Koopman generator to obtain a bilinear system and, thus, circumvent the curse of dimensionality since we do not autonomize the system by augmenting the state by the control inputs. To the\r\nbest of our knowledge, this is the first finite-data error analysis in the stochastic and/or control setting. Finally, we demonstrate the effectiveness of the proposed approach by comparing it with state-of-the-art techniques showing its superiority whenever state and control are coupled.","lang":"eng"}],"main_file_link":[{"open_access":"1","url":"https://link.springer.com/content/pdf/10.1007/s00332-022-09862-1.pdf"}],"article_number":"14","language":[{"iso":"eng"}],"doi":"10.1007/s00332-022-09862-1","title":"Finite-data error bounds for Koopman-based prediction and control","year":"2023","author":[{"id":"81513","full_name":"Nüske, Feliks","last_name":"Nüske","orcid":"0000-0003-2444-7889","first_name":"Feliks"},{"full_name":"Peitz, Sebastian","first_name":"Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","id":"47427"},{"last_name":"Philipp","first_name":"Friedrich","full_name":"Philipp, Friedrich"},{"full_name":"Schaller, Manuel","last_name":"Schaller","first_name":"Manuel"},{"full_name":"Worthmann, Karl","first_name":"Karl","last_name":"Worthmann"}],"date_updated":"2023-08-24T07:50:12Z","publication_status":"published","intvolume":"        33","oa":"1","citation":{"apa":"Nüske, F., Peitz, S., Philipp, F., Schaller, M., &#38; Worthmann, K. (2023). Finite-data error bounds for Koopman-based prediction and control. <i>Journal of Nonlinear Science</i>, <i>33</i>, Article 14. <a href=\"https://doi.org/10.1007/s00332-022-09862-1\">https://doi.org/10.1007/s00332-022-09862-1</a>","ieee":"F. Nüske, S. Peitz, F. Philipp, M. Schaller, and K. Worthmann, “Finite-data error bounds for Koopman-based prediction and control,” <i>Journal of Nonlinear Science</i>, vol. 33, Art. no. 14, 2023, doi: <a href=\"https://doi.org/10.1007/s00332-022-09862-1\">10.1007/s00332-022-09862-1</a>.","chicago":"Nüske, Feliks, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.” <i>Journal of Nonlinear Science</i> 33 (2023). <a href=\"https://doi.org/10.1007/s00332-022-09862-1\">https://doi.org/10.1007/s00332-022-09862-1</a>.","short":"F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).","mla":"Nüske, Feliks, et al. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.” <i>Journal of Nonlinear Science</i>, vol. 33, 14, 2023, doi:<a href=\"https://doi.org/10.1007/s00332-022-09862-1\">10.1007/s00332-022-09862-1</a>.","ama":"Nüske F, Peitz S, Philipp F, Schaller M, Worthmann K. Finite-data error bounds for Koopman-based prediction and control. <i>Journal of Nonlinear Science</i>. 2023;33. doi:<a href=\"https://doi.org/10.1007/s00332-022-09862-1\">10.1007/s00332-022-09862-1</a>","bibtex":"@article{Nüske_Peitz_Philipp_Schaller_Worthmann_2023, title={Finite-data error bounds for Koopman-based prediction and control}, volume={33}, DOI={<a href=\"https://doi.org/10.1007/s00332-022-09862-1\">10.1007/s00332-022-09862-1</a>}, number={14}, journal={Journal of Nonlinear Science}, author={Nüske, Feliks and Peitz, Sebastian and Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl}, year={2023} }"},"_id":"23428","user_id":"47427","volume":33,"status":"public"},{"publisher":"Elsevier BV","_id":"46637","volume":15,"user_id":"94996","status":"public","oa":"1","citation":{"short":"M. Gonchikzhapov, T. Kasper, Applications in Energy and Combustion Science 15 (2023).","chicago":"Gonchikzhapov, Munko, and Tina Kasper. “Thermal and Chemical Structure of Ethanol and 2-Ethylhexanoic Acid/Ethanol SpraySyn Flames.” <i>Applications in Energy and Combustion Science</i> 15 (2023). <a href=\"https://doi.org/10.1016/j.jaecs.2023.100174\">https://doi.org/10.1016/j.jaecs.2023.100174</a>.","apa":"Gonchikzhapov, M., &#38; Kasper, T. (2023). Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames. <i>Applications in Energy and Combustion Science</i>, <i>15</i>, Article 100174. <a href=\"https://doi.org/10.1016/j.jaecs.2023.100174\">https://doi.org/10.1016/j.jaecs.2023.100174</a>","ieee":"M. Gonchikzhapov and T. Kasper, “Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames,” <i>Applications in Energy and Combustion Science</i>, vol. 15, Art. no. 100174, 2023, doi: <a href=\"https://doi.org/10.1016/j.jaecs.2023.100174\">10.1016/j.jaecs.2023.100174</a>.","ama":"Gonchikzhapov M, Kasper T. Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames. <i>Applications in Energy and Combustion Science</i>. 2023;15. doi:<a href=\"https://doi.org/10.1016/j.jaecs.2023.100174\">10.1016/j.jaecs.2023.100174</a>","bibtex":"@article{Gonchikzhapov_Kasper_2023, title={Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames}, volume={15}, DOI={<a href=\"https://doi.org/10.1016/j.jaecs.2023.100174\">10.1016/j.jaecs.2023.100174</a>}, number={100174}, journal={Applications in Energy and Combustion Science}, publisher={Elsevier BV}, author={Gonchikzhapov, Munko and Kasper, Tina}, year={2023} }","mla":"Gonchikzhapov, Munko, and Tina Kasper. “Thermal and Chemical Structure of Ethanol and 2-Ethylhexanoic Acid/Ethanol SpraySyn Flames.” <i>Applications in Energy and Combustion Science</i>, vol. 15, 100174, Elsevier BV, 2023, doi:<a href=\"https://doi.org/10.1016/j.jaecs.2023.100174\">10.1016/j.jaecs.2023.100174</a>."},"language":[{"iso":"eng"}],"article_number":"100174","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2666352X23000638","open_access":"1"}],"doi":"10.1016/j.jaecs.2023.100174","author":[{"id":"94996","first_name":"Munko","last_name":"Gonchikzhapov","orcid":"https://orcid.org/0000-0002-7773-047X","full_name":"Gonchikzhapov, Munko"},{"id":"94562","full_name":"Kasper, Tina","orcid":"0000-0003-3993-5316 ","first_name":"Tina","last_name":"Kasper"}],"publication_identifier":{"issn":["2666-352X"]},"title":"Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames","year":"2023","intvolume":"        15","publication_status":"published","date_updated":"2023-08-24T08:55:26Z","date_created":"2023-08-22T13:26:37Z","department":[{"_id":"43"}],"keyword":["Nanoparticle synthesis","Flame spray pyrolysis","SpraySyn burner","Flame structure","Species distribution","Temperature distribution"],"type":"journal_article","publication":"Applications in Energy and Combustion Science"},{"title":"ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids","year":"2023","author":[{"id":"11291","full_name":"Wallscheid, Oliver","last_name":"Wallscheid","orcid":"https://orcid.org/0000-0001-9362-8777","first_name":"Oliver"},{"id":"47427","full_name":"Peitz, Sebastian","first_name":"Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz"},{"full_name":"Stenner, Jan","last_name":"Stenner","first_name":"Jan","id":"65520"},{"id":"24041","full_name":"Weber, Daniel","last_name":"Weber","orcid":"0000-0003-3367-5998","first_name":"Daniel"},{"first_name":"Septimus","last_name":"Boshoff","full_name":"Boshoff, Septimus"},{"last_name":"Meyer","first_name":"Marvin","full_name":"Meyer, Marvin"},{"full_name":"Chidananda, Vikas","last_name":"Chidananda","first_name":"Vikas"},{"full_name":"Schweins, Oliver","first_name":"Oliver","last_name":"Schweins"}],"publication_identifier":{"issn":["2475-9066"]},"publication_status":"published","date_updated":"2023-09-04T11:06:06Z","intvolume":"         8","article_number":"5616","main_file_link":[{"url":"https://joss.theoj.org/papers/10.21105/joss.05616","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.21105/joss.05616","issue":"89","publication":"Journal of Open Source Software","date_created":"2023-09-04T11:05:03Z","type":"journal_article","keyword":["General Earth and Planetary Sciences","General Environmental Science"],"department":[{"_id":"655"},{"_id":"52"}],"status":"public","_id":"46784","publisher":"The Open Journal","user_id":"47427","volume":8,"citation":{"mla":"Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.” <i>Journal of Open Source Software</i>, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:<a href=\"https://doi.org/10.21105/joss.05616\">10.21105/joss.05616</a>.","bibtex":"@article{Wallscheid_Peitz_Stenner_Weber_Boshoff_Meyer_Chidananda_Schweins_2023, title={ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids}, volume={8}, DOI={<a href=\"https://doi.org/10.21105/joss.05616\">10.21105/joss.05616</a>}, number={895616}, journal={Journal of Open Source Software}, publisher={The Open Journal}, author={Wallscheid, Oliver and Peitz, Sebastian and Stenner, Jan and Weber, Daniel and Boshoff, Septimus and Meyer, Marvin and Chidananda, Vikas and Schweins, Oliver}, year={2023} }","ama":"Wallscheid O, Peitz S, Stenner J, et al. ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids. <i>Journal of Open Source Software</i>. 2023;8(89). doi:<a href=\"https://doi.org/10.21105/joss.05616\">10.21105/joss.05616</a>","ieee":"O. Wallscheid <i>et al.</i>, “ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids,” <i>Journal of Open Source Software</i>, vol. 8, no. 89, Art. no. 5616, 2023, doi: <a href=\"https://doi.org/10.21105/joss.05616\">10.21105/joss.05616</a>.","apa":"Wallscheid, O., Peitz, S., Stenner, J., Weber, D., Boshoff, S., Meyer, M., Chidananda, V., &#38; Schweins, O. (2023). ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids. <i>Journal of Open Source Software</i>, <i>8</i>(89), Article 5616. <a href=\"https://doi.org/10.21105/joss.05616\">https://doi.org/10.21105/joss.05616</a>","short":"O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, O. Schweins, Journal of Open Source Software 8 (2023).","chicago":"Wallscheid, Oliver, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus Boshoff, Marvin Meyer, Vikas Chidananda, and Oliver Schweins. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.” <i>Journal of Open Source Software</i> 8, no. 89 (2023). <a href=\"https://doi.org/10.21105/joss.05616\">https://doi.org/10.21105/joss.05616</a>."},"oa":"1"},{"publication_identifier":{"issn":["0025-5866"]},"author":[{"full_name":"Höper, Lukas","first_name":"Lukas","last_name":"Höper","id":"58041"},{"id":"60311","full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte"}],"title":"Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht","year":"2023","intvolume":"        76","date_updated":"2023-09-06T14:12:35Z","language":[{"iso":"ger"}],"publication":"MNU journal","issue":"4","related_material":{"link":[{"relation":"other","url":"https://www.mnu.de/zeitschriften/795-mnu-heft-2023-04"}]},"date_created":"2023-07-28T05:58:37Z","file":[{"creator":"hoeper","date_created":"2023-07-28T05:56:19Z","file_name":"MNU_journal_04_314-320.pdf","access_level":"open_access","file_size":615313,"relation":"main_file","date_updated":"2023-09-06T14:10:52Z","file_id":"46187","content_type":"application/pdf"}],"department":[{"_id":"67"}],"type":"journal_article","status":"public","has_accepted_license":"1","_id":"46186","publisher":"Verlag Klaus Seeberger","page":"314-320","volume":76,"ddc":["370"],"user_id":"58041","citation":{"ieee":"L. Höper and C. Schulte, “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht,” <i>MNU journal</i>, vol. 76, no. 4, pp. 314–320, 2023.","apa":"Höper, L., &#38; Schulte, C. (2023). Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht. <i>MNU journal</i>, <i>76</i>(4), 314–320.","short":"L. Höper, C. Schulte, MNU journal 76 (2023) 314–320.","chicago":"Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht.” <i>MNU journal</i> 76, no. 4 (2023): 314–20.","mla":"Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht.” <i>MNU journal</i>, vol. 76, no. 4, Verlag Klaus Seeberger, 2023, pp. 314–20.","bibtex":"@article{Höper_Schulte_2023, title={Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht}, volume={76}, number={4}, journal={MNU journal}, publisher={Verlag Klaus Seeberger}, author={Höper, Lukas and Schulte, Carsten}, year={2023}, pages={314–320} }","ama":"Höper L, Schulte C. 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