[{"_id":"29292","main_file_link":[{"url":"https://papers.dice-research.org/2021/IDEAL2021_DriftDetectionEmbeddings/Drift-Detection-in-Text-Data-with-Document-Embeddings-public.pdf","open_access":"1"}],"type":"book_chapter","year":"2021","citation":{"mla":"Feldhans, Robert, et al. “Drift Detection in Text Data with Document Embeddings.” Intelligent Data Engineering and Automated Learning – IDEAL 2021, Springer International Publishing, 2021, doi:10.1007/978-3-030-91608-4_11.","bibtex":"@inbook{Feldhans_Wilke_Heindorf_Shaker_Hammer_Ngonga Ngomo_Hüllermeier_2021, place={Cham}, title={Drift Detection in Text Data with Document Embeddings}, DOI={10.1007/978-3-030-91608-4_11}, booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2021}, publisher={Springer International Publishing}, author={Feldhans, Robert and Wilke, Adrian and Heindorf, Stefan and Shaker, Mohammad Hossein and Hammer, Barbara and Ngonga Ngomo, Axel-Cyrille and Hüllermeier, Eyke}, year={2021} }","chicago":"Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-91608-4_11.","ama":"Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing; 2021. doi:10.1007/978-3-030-91608-4_11","apa":"Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., & Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing. https://doi.org/10.1007/978-3-030-91608-4_11","ieee":"R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,” in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham: Springer International Publishing, 2021.","short":"R. Feldhans, A. Wilke, S. Heindorf, M.H. Shaker, B. Hammer, A.-C. Ngonga Ngomo, E. Hüllermeier, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021, Springer International Publishing, Cham, 2021."},"user_id":"11871","author":[{"first_name":"Robert","full_name":"Feldhans, Robert","last_name":"Feldhans"},{"first_name":"Adrian","orcid":"0000-0002-6575-807X","full_name":"Wilke, Adrian","last_name":"Wilke","id":"9101"},{"orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","first_name":"Stefan","id":"11871","last_name":"Heindorf"},{"first_name":"Mohammad Hossein","full_name":"Shaker, Mohammad Hossein","last_name":"Shaker"},{"full_name":"Hammer, Barbara","first_name":"Barbara","last_name":"Hammer"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"publisher":"Springer International Publishing","publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2021","status":"public","date_created":"2022-01-12T10:27:23Z","date_updated":"2022-10-15T19:54:20Z","oa":"1","doi":"10.1007/978-3-030-91608-4_11","language":[{"iso":"eng"}],"place":"Cham","related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/chapter/10.1007/978-3-030-91608-4_11"}]},"title":"Drift Detection in Text Data with Document Embeddings","department":[{"_id":"574"}],"publication_identifier":{"isbn":["9783030916077","9783030916084"],"issn":["0302-9743","1611-3349"]},"publication_status":"published"},{"abstract":[{"lang":"eng","text":"Knowledge graph embedding research has mainly focused on the two smallest\r\nnormed division algebras, $\\mathbb{R}$ and $\\mathbb{C}$. Recent results suggest\r\nthat trilinear products of quaternion-valued embeddings can be a more effective\r\nmeans to tackle link prediction. In addition, models based on convolutions on\r\nreal-valued embeddings often yield state-of-the-art results for link\r\nprediction. In this paper, we investigate a composition of convolution\r\noperations with hypercomplex multiplications. We propose the four approaches\r\nQMult, OMult, ConvQ and ConvO to tackle the link prediction problem. QMult and\r\nOMult can be considered as quaternion and octonion extensions of previous\r\nstate-of-the-art approaches, including DistMult and ComplEx. ConvQ and ConvO\r\nbuild upon QMult and OMult by including convolution operations in a way\r\ninspired by the residual learning framework. We evaluated our approaches on\r\nseven link prediction datasets including WN18RR, FB15K-237 and YAGO3-10.\r\nExperimental results suggest that the benefits of learning hypercomplex-valued\r\nvector representations become more apparent as the size and complexity of the\r\nknowledge graph grows. ConvO outperforms state-of-the-art approaches on\r\nFB15K-237 in MRR, Hit@1 and Hit@3, while QMult, OMult, ConvQ and ConvO\r\noutperform state-of-the-approaches on YAGO3-10 in all metrics. Results also\r\nsuggest that link prediction performances can be further improved via\r\nprediction averaging. To foster reproducible research, we provide an\r\nopen-source implementation of approaches, including training and evaluation\r\nscripts as well as pretrained models."}],"external_id":{"arxiv":["2106.15230"]},"user_id":"11871","title":"Convolutional Hypercomplex Embeddings for Link Prediction","author":[{"last_name":"Demir","id":"43817","first_name":"Caglar","full_name":"Demir, Caglar"},{"first_name":"Diego","full_name":"Moussallem, Diego","last_name":"Moussallem","id":"71635"},{"last_name":"Heindorf","id":"11871","first_name":"Stefan","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"publication":"The 13th Asian Conference on Machine Learning, ACML 2021","department":[{"_id":"574"}],"status":"public","date_created":"2022-01-12T10:21:10Z","_id":"29287","date_updated":"2022-10-17T15:06:40Z","oa":"1","main_file_link":[{"url":"https://papers.dice-research.org/2021/ACML2021_HyperConv/public.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"type":"conference","citation":{"short":"C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian Conference on Machine Learning, ACML 2021, 2021.","ieee":"C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021.","apa":"Demir, C., Moussallem, D., Heindorf, S., & Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. The 13th Asian Conference on Machine Learning, ACML 2021.","ama":"Demir C, Moussallem D, Heindorf S, Ngonga Ngomo A-C. Convolutional Hypercomplex Embeddings for Link Prediction. In: The 13th Asian Conference on Machine Learning, ACML 2021. ; 2021.","chicago":"Demir, Caglar, Diego Moussallem, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “Convolutional Hypercomplex Embeddings for Link Prediction.” In The 13th Asian Conference on Machine Learning, ACML 2021, 2021.","bibtex":"@inproceedings{Demir_Moussallem_Heindorf_Ngonga Ngomo_2021, title={Convolutional Hypercomplex Embeddings for Link Prediction}, booktitle={The 13th Asian Conference on Machine Learning, ACML 2021}, author={Demir, Caglar and Moussallem, Diego and Heindorf, Stefan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","mla":"Demir, Caglar, et al. “Convolutional Hypercomplex Embeddings for Link Prediction.” The 13th Asian Conference on Machine Learning, ACML 2021, 2021."},"year":"2021"},{"user_id":"11871","title":"Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts","publisher":"IEEE","author":[{"full_name":"Nickchen, Tobias","orcid":"0000-0001-8958-9330","first_name":"Tobias","id":"27340","last_name":"Nickchen"},{"orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","first_name":"Stefan","id":"11871","last_name":"Heindorf"},{"full_name":"Engels, Gregor","first_name":"Gregor","id":"107","last_name":"Engels"}],"department":[{"_id":"66"},{"_id":"574"}],"publication":"2021 IEEE Winter Conference on Applications of Computer Vision (WACV)","status":"public","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"date_created":"2022-01-12T10:31:42Z","publication_status":"published","_id":"29294","date_updated":"2022-10-17T15:07:38Z","oa":"1","doi":"10.1109/wacv48630.2021.00204","main_file_link":[{"open_access":"1","url":"https://openaccess.thecvf.com/content/WACV2021/papers/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.pdf"}],"language":[{"iso":"eng"}],"type":"conference","citation":{"chicago":"Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021. https://doi.org/10.1109/wacv48630.2021.00204.","ama":"Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE; 2021. doi:10.1109/wacv48630.2021.00204","apa":"Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv48630.2021.00204","bibtex":"@inproceedings{Nickchen_Heindorf_Engels_2021, title={Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts}, DOI={10.1109/wacv48630.2021.00204}, booktitle={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)}, publisher={IEEE}, author={Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor}, year={2021} }","mla":"Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2021, doi:10.1109/wacv48630.2021.00204.","short":"T. Nickchen, S. Heindorf, G. Engels, in: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2021.","ieee":"T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” 2021, doi: 10.1109/wacv48630.2021.00204."},"year":"2021"},{"status":"public","ipc":"US15/885,363 ","date_created":"2022-10-15T19:19:10Z","author":[{"id":"11871","last_name":"Heindorf","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","first_name":"Stefan"}],"user_id":"11871","title":"Automatically generating instructions from tutorials for search and user navigation","ipn":"10936684","citation":{"chicago":"Heindorf, Stefan. “Automatically Generating Instructions from Tutorials for Search and User Navigation,” 2021.","ama":"Heindorf S. Automatically generating instructions from tutorials for search and user navigation. Published online 2021.","apa":"Heindorf, S. (2021). Automatically generating instructions from tutorials for search and user navigation.","mla":"Heindorf, Stefan. Automatically Generating Instructions from Tutorials for Search and User Navigation. 2021.","bibtex":"@article{Heindorf_2021, title={Automatically generating instructions from tutorials for search and user navigation}, author={Heindorf, Stefan}, year={2021} }","short":"S. Heindorf, (2021).","ieee":"S. Heindorf, “Automatically generating instructions from tutorials for search and user navigation.” 2021."},"year":"2021","type":"patent","main_file_link":[{"open_access":"1","url":"https://patentimages.storage.googleapis.com/f6/21/79/657191c3dfe93b/US10936684.pdf"}],"oa":"1","publication_date":"2021-03-02","_id":"33733","date_updated":"2022-10-17T15:21:49Z"},{"citation":{"bibtex":"@inproceedings{Piskachev_Krishnamurthy_Bodden_2021, title={SecuCheck: Engineering configurable taint analysis for software developers}, booktitle={2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}, author={Piskachev, Goran and Krishnamurthy, Ranjith and Bodden, Eric}, year={2021} }","mla":"Piskachev, Goran, et al. “SecuCheck: Engineering Configurable Taint Analysis for Software Developers.” 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.","apa":"Piskachev, G., Krishnamurthy, R., & Bodden, E. (2021). SecuCheck: Engineering configurable taint analysis for software developers. 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM).","ama":"Piskachev G, Krishnamurthy R, Bodden E. SecuCheck: Engineering configurable taint analysis for software developers. In: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM). ; 2021.","chicago":"Piskachev, Goran, Ranjith Krishnamurthy, and Eric Bodden. “SecuCheck: Engineering Configurable Taint Analysis for Software Developers.” In 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.","ieee":"G. Piskachev, R. Krishnamurthy, and E. Bodden, “SecuCheck: Engineering configurable taint analysis for software developers,” 2021.","short":"G. Piskachev, R. Krishnamurthy, E. Bodden, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021."},"type":"conference","year":"2021","language":[{"iso":"eng"}],"_id":"26407","date_updated":"2022-10-20T12:44:31Z","author":[{"orcid":"0000-0003-4424-5838","full_name":"Piskachev, Goran","first_name":"Goran","id":"41936","last_name":"Piskachev"},{"full_name":"Krishnamurthy, Ranjith","first_name":"Ranjith","last_name":"Krishnamurthy"},{"first_name":"Eric","orcid":"0000-0003-3470-3647","full_name":"Bodden, Eric","last_name":"Bodden","id":"59256"}],"publication":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","department":[{"_id":"76"},{"_id":"662"}],"status":"public","date_created":"2021-10-18T12:53:15Z","title":"SecuCheck: Engineering configurable taint analysis for software developers","user_id":"15249"},{"_id":"22463","date_updated":"2022-10-20T13:11:45Z","citation":{"mla":"Luo, Linghui, et al. “IDE Support for Cloud-Based Static Analyses.” Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021.","bibtex":"@inproceedings{Luo_Schäf_Sanchez_Bodden_2021, title={IDE Support for Cloud-Based Static Analyses}, booktitle={Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering}, author={Luo, Linghui and Schäf, Martin and Sanchez, Daniel and Bodden, Eric}, year={2021} }","apa":"Luo, L., Schäf, M., Sanchez, D., & Bodden, E. (2021). IDE Support for Cloud-Based Static Analyses. Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.","ama":"Luo L, Schäf M, Sanchez D, Bodden E. IDE Support for Cloud-Based Static Analyses. In: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ; 2021.","chicago":"Luo, Linghui, Martin Schäf, Daniel Sanchez, and Eric Bodden. “IDE Support for Cloud-Based Static Analyses.” In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021.","ieee":"L. Luo, M. Schäf, D. Sanchez, and E. Bodden, “IDE Support for Cloud-Based Static Analyses,” 2021.","short":"L. Luo, M. Schäf, D. Sanchez, E. Bodden, in: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021."},"type":"conference","year":"2021","language":[{"iso":"eng"}],"title":"IDE Support for Cloud-Based Static Analyses","user_id":"15249","status":"public","date_created":"2021-06-17T10:18:05Z","author":[{"full_name":"Luo, Linghui","first_name":"Linghui","last_name":"Luo"},{"full_name":"Schäf, Martin","first_name":"Martin","last_name":"Schäf"},{"first_name":"Daniel","full_name":"Sanchez, Daniel","last_name":"Sanchez"},{"first_name":"Eric","full_name":"Bodden, Eric","orcid":"0000-0003-3470-3647","last_name":"Bodden","id":"59256"}],"department":[{"_id":"76"}],"publication":"Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering"},{"user_id":"15249","title":"SootFX: A Static Code Feature Extraction Tool for Java and Android","date_created":"2022-10-20T13:09:08Z","status":"public","publication":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","department":[{"_id":"76"}],"author":[{"id":"70410","last_name":"Karakaya","orcid":"https://orcid.org/0000-0001-9266-2084","full_name":"Karakaya, Kadiray","first_name":"Kadiray"},{"last_name":"Bodden","id":"59256","first_name":"Eric","orcid":"0000-0003-3470-3647","full_name":"Bodden, Eric"}],"_id":"33840","date_updated":"2022-10-20T13:09:23Z","language":[{"iso":"eng"}],"page":"181–186","year":"2021","citation":{"ama":"Karakaya K, Bodden E. SootFX: A Static Code Feature Extraction Tool for Java and Android. In: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM). ; 2021:181–186.","apa":"Karakaya, K., & Bodden, E. (2021). SootFX: A Static Code Feature Extraction Tool for Java and Android. 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 181–186.","chicago":"Karakaya, Kadiray, and Eric Bodden. “SootFX: A Static Code Feature Extraction Tool for Java and Android.” In 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 181–186, 2021.","bibtex":"@inproceedings{Karakaya_Bodden_2021, title={SootFX: A Static Code Feature Extraction Tool for Java and Android}, booktitle={2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}, author={Karakaya, Kadiray and Bodden, Eric}, year={2021}, pages={181–186} }","mla":"Karakaya, Kadiray, and Eric Bodden. “SootFX: A Static Code Feature Extraction Tool for Java and Android.” 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021, pp. 181–186.","short":"K. Karakaya, E. Bodden, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021, pp. 181–186.","ieee":"K. Karakaya and E. Bodden, “SootFX: A Static Code Feature Extraction Tool for Java and Android,” in 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021, pp. 181–186."},"type":"conference"},{"language":[{"iso":"eng"}],"doi":"10.1088/2515-7647/ac105b","oa":"1","date_updated":"2022-10-25T07:34:42Z","publication_identifier":{"issn":["2515-7647"]},"publication_status":"published","project":[{"name":"TRR 142","_id":"53"}],"department":[{"_id":"15"},{"_id":"61"},{"_id":"230"}],"title":"Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides","page":"034022","year":"2021","citation":{"short":"J.P. Höpker, V.B. Verma, M. Protte, R. Ricken, V. Quiring, C. Eigner, L. Ebers, M. Hammer, J. Förstner, C. Silberhorn, R.P. Mirin, S. Woo Nam, T. Bartley, Journal of Physics: Photonics 3 (2021) 034022.","ieee":"J. P. Höpker et al., “Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides,” Journal of Physics: Photonics, vol. 3, p. 034022, 2021, doi: 10.1088/2515-7647/ac105b.","apa":"Höpker, J. P., Verma, V. B., Protte, M., Ricken, R., Quiring, V., Eigner, C., Ebers, L., Hammer, M., Förstner, J., Silberhorn, C., Mirin, R. P., Woo Nam, S., & Bartley, T. (2021). Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides. Journal of Physics: Photonics, 3, 034022. https://doi.org/10.1088/2515-7647/ac105b","ama":"Höpker JP, Verma VB, Protte M, et al. Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides. Journal of Physics: Photonics. 2021;3:034022. doi:10.1088/2515-7647/ac105b","chicago":"Höpker, Jan Philipp, Varun B Verma, Maximilian Protte, Raimund Ricken, Viktor Quiring, Christof Eigner, Lena Ebers, et al. “Integrated Superconducting Nanowire Single-Photon Detectors on Titanium in-Diffused Lithium Niobate Waveguides.” Journal of Physics: Photonics 3 (2021): 034022. https://doi.org/10.1088/2515-7647/ac105b.","bibtex":"@article{Höpker_Verma_Protte_Ricken_Quiring_Eigner_Ebers_Hammer_Förstner_Silberhorn_et al._2021, title={Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides}, volume={3}, DOI={10.1088/2515-7647/ac105b}, journal={Journal of Physics: Photonics}, author={Höpker, Jan Philipp and Verma, Varun B and Protte, Maximilian and Ricken, Raimund and Quiring, Viktor and Eigner, Christof and Ebers, Lena and Hammer, Manfred and Förstner, Jens and Silberhorn, Christine and et al.}, year={2021}, pages={034022} }","mla":"Höpker, Jan Philipp, et al. “Integrated Superconducting Nanowire Single-Photon Detectors on Titanium in-Diffused Lithium Niobate Waveguides.” Journal of Physics: Photonics, vol. 3, 2021, p. 034022, doi:10.1088/2515-7647/ac105b."},"type":"journal_article","_id":"23728","intvolume":" 3","volume":3,"date_created":"2021-09-03T08:04:06Z","status":"public","has_accepted_license":"1","file_date_updated":"2021-09-07T07:41:04Z","publication":"Journal of Physics: Photonics","author":[{"last_name":"Höpker","id":"33913","first_name":"Jan Philipp","full_name":"Höpker, Jan Philipp"},{"last_name":"Verma","first_name":"Varun B","full_name":"Verma, Varun B"},{"first_name":"Maximilian","full_name":"Protte, Maximilian","last_name":"Protte","id":"46170"},{"last_name":"Ricken","first_name":"Raimund","full_name":"Ricken, Raimund"},{"last_name":"Quiring","first_name":"Viktor","full_name":"Quiring, Viktor"},{"full_name":"Eigner, Christof","orcid":"https://orcid.org/0000-0002-5693-3083","first_name":"Christof","id":"13244","last_name":"Eigner"},{"id":"40428","last_name":"Ebers","full_name":"Ebers, Lena","first_name":"Lena"},{"orcid":"0000-0002-6331-9348","full_name":"Hammer, Manfred","first_name":"Manfred","id":"48077","last_name":"Hammer"},{"orcid":"0000-0001-7059-9862","full_name":"Förstner, Jens","first_name":"Jens","id":"158","last_name":"Förstner"},{"full_name":"Silberhorn, Christine","first_name":"Christine","id":"26263","last_name":"Silberhorn"},{"last_name":"Mirin","full_name":"Mirin, Richard P","first_name":"Richard P"},{"last_name":"Woo Nam","first_name":"Sae","full_name":"Woo Nam, Sae"},{"full_name":"Bartley, Tim","first_name":"Tim","id":"49683","last_name":"Bartley"}],"file":[{"file_size":1097820,"file_id":"23825","creator":"fossie","content_type":"application/pdf","date_updated":"2021-09-07T07:41:04Z","relation":"main_file","file_name":"2021-07 Höpker J._Phys._Photonics_3_034022.pdf","date_created":"2021-09-07T07:41:04Z","access_level":"open_access"}],"ddc":["530"],"user_id":"49683","abstract":[{"lang":"eng","text":"We demonstrate the integration of amorphous tungsten silicide superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides. We show proof-of-principle detection of evanescently coupled photons of 1550 nm wavelength using bidirectional waveguide coupling for two orthogonal polarization directions. We investigate the internal detection efficiency as well as detector absorption using coupling-independent characterization measurements. Furthermore, we describe strategies to improve the yield and efficiency of these devices."}],"article_type":"original"},{"author":[{"last_name":"Müller","id":"70858","first_name":"Stefanie Jutta Marianne","full_name":"Müller, Stefanie Jutta Marianne"},{"full_name":"Kundisch, Dennis","first_name":"Dennis","id":"21117","last_name":"Kundisch"}],"department":[{"_id":"276"}],"status":"public","date_created":"2021-03-15T14:33:50Z","user_id":"16205","title":"Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick","language":[{"iso":"ger"}],"year":"2021","citation":{"mla":"Müller, Stefanie Jutta Marianne, and Dennis Kundisch. Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick. 2021.","bibtex":"@inproceedings{Müller_Kundisch_2021, title={Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick}, author={Müller, Stefanie Jutta Marianne and Kundisch, Dennis}, year={2021} }","apa":"Müller, S. J. M., & Kundisch, D. (2021). Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick. 4th IASPM D-A-CH Conference, Virtual Conference/Workshop.","ama":"Müller SJM, Kundisch D. Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick. In: ; 2021.","chicago":"Müller, Stefanie Jutta Marianne, and Dennis Kundisch. “Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick,” 2021.","ieee":"S. J. M. Müller and D. Kundisch, “Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick,” presented at the 4th IASPM D-A-CH Conference, Virtual Conference/Workshop, 2021.","short":"S.J.M. Müller, D. Kundisch, in: 2021."},"type":"conference_abstract","_id":"21509","date_updated":"2022-10-26T10:01:17Z","conference":{"name":"4th IASPM D-A-CH Conference","location":"Virtual Conference/Workshop"}},{"department":[{"_id":"9"},{"_id":"149"},{"_id":"321"}],"publication_identifier":{"issn":["1996-1944"]},"publication_status":"published","title":"A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations","language":[{"iso":"eng"}],"date_updated":"2022-10-27T10:05:36Z","doi":"10.3390/ma14175106","keyword":["General Materials Science"],"publication":"Materials","author":[{"first_name":"Alan Adam","full_name":"Camberg, Alan Adam","last_name":"Camberg","id":"60544"},{"full_name":"Erhart, Tobias","first_name":"Tobias","last_name":"Erhart"},{"full_name":"Tröster, Thomas","first_name":"Thomas","id":"553","last_name":"Tröster"}],"publisher":"MDPI AG","volume":14,"date_created":"2022-10-27T10:04:46Z","status":"public","abstract":[{"lang":"eng","text":"Heat-assisted forming processes are becoming increasingly important in the manufacturing of sheet metal parts for body-in-white applications. However, the non-isothermal nature of these processes leads to challenges in evaluating the forming limits, since established methods such as Forming Limit Curves (FLCs) only allow the assessment of critical forming strains for steady temperatures. For this reason, a temperature-dependent extension of the well-established GISSMO (Generalized Incremental Stress State Dependent Damage Model) fracture indicator framework is developed by the authors to predict forming failures under non-isothermal conditions. In this paper, a general approach to combine several isothermal FLCs within the temperature-extended GISSMO model into a temperature-dependent forming limit surface is investigated. The general capabilities of the model are tested in a coupled thermo-mechanical FEA using the example of warm forming of an AA5182-O sheet metal cross-die cup. The obtained results are then compared with state of the art of evaluation methods. By taking the strain and temperature path into account, GISSMO predicts greater drawing depths by up to 20% than established methods. In this way the forming and so the lightweight potential of sheet metal parts can by fully exploited. Moreover, the risk and locus of failure can be evaluated directly on the part geometry by a contour plot. An additional advantage of the GISSMO model is the applicability for low triaxialities as well as the possibility to predict the materials behavior beyond necking up to ductile fracture."}],"user_id":"15952","type":"journal_article","citation":{"short":"A.A. Camberg, T. Erhart, T. Tröster, Materials 14 (2021).","ieee":"A. A. Camberg, T. Erhart, and T. Tröster, “A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations,” Materials, vol. 14, no. 17, Art. no. 5106, 2021, doi: 10.3390/ma14175106.","chicago":"Camberg, Alan Adam, Tobias Erhart, and Thomas Tröster. “A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations.” Materials 14, no. 17 (2021). https://doi.org/10.3390/ma14175106.","apa":"Camberg, A. A., Erhart, T., & Tröster, T. (2021). A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations. Materials, 14(17), Article 5106. https://doi.org/10.3390/ma14175106","ama":"Camberg AA, Erhart T, Tröster T. A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations. Materials. 2021;14(17). doi:10.3390/ma14175106","mla":"Camberg, Alan Adam, et al. “A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations.” Materials, vol. 14, no. 17, 5106, MDPI AG, 2021, doi:10.3390/ma14175106.","bibtex":"@article{Camberg_Erhart_Tröster_2021, title={A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations}, volume={14}, DOI={10.3390/ma14175106}, number={175106}, journal={Materials}, publisher={MDPI AG}, author={Camberg, Alan Adam and Erhart, Tobias and Tröster, Thomas}, year={2021} }"},"year":"2021","intvolume":" 14","_id":"33895","article_number":"5106","issue":"17"}]