--- _id: '29292' author: - first_name: Robert full_name: Feldhans, Robert last_name: Feldhans - first_name: Adrian full_name: Wilke, Adrian id: '9101' last_name: Wilke orcid: 0000-0002-6575-807X - first_name: Stefan full_name: Heindorf, Stefan id: '11871' last_name: Heindorf orcid: 0000-0002-4525-6865 - first_name: Mohammad Hossein full_name: Shaker, Mohammad Hossein last_name: Shaker - first_name: Barbara full_name: Hammer, Barbara last_name: Hammer - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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 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.' 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.' 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. 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.' date_created: 2022-01-12T10:27:23Z date_updated: 2022-10-15T19:54:20Z department: - _id: '574' doi: 10.1007/978-3-030-91608-4_11 language: - iso: eng main_file_link: - open_access: '1' url: https://papers.dice-research.org/2021/IDEAL2021_DriftDetectionEmbeddings/Drift-Detection-in-Text-Data-with-Document-Embeddings-public.pdf oa: '1' place: Cham publication: Intelligent Data Engineering and Automated Learning – IDEAL 2021 publication_identifier: isbn: - '9783030916077' - '9783030916084' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer International Publishing related_material: link: - relation: confirmation url: https://link.springer.com/chapter/10.1007/978-3-030-91608-4_11 status: public title: Drift Detection in Text Data with Document Embeddings type: book_chapter user_id: '11871' year: '2021' ... --- _id: '29287' 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." author: - first_name: Caglar full_name: Demir, Caglar id: '43817' last_name: Demir - first_name: Diego full_name: Moussallem, Diego id: '71635' last_name: Moussallem - first_name: Stefan full_name: Heindorf, Stefan id: '11871' last_name: Heindorf orcid: 0000-0002-4525-6865 - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo citation: 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.' 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. 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} }' 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. ieee: C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021. mla: Demir, Caglar, et al. “Convolutional Hypercomplex Embeddings for Link Prediction.” The 13th Asian Conference on Machine Learning, ACML 2021, 2021. short: 'C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian Conference on Machine Learning, ACML 2021, 2021.' date_created: 2022-01-12T10:21:10Z date_updated: 2022-10-17T15:06:40Z department: - _id: '574' external_id: arxiv: - '2106.15230' language: - iso: eng main_file_link: - open_access: '1' url: https://papers.dice-research.org/2021/ACML2021_HyperConv/public.pdf oa: '1' publication: The 13th Asian Conference on Machine Learning, ACML 2021 status: public title: Convolutional Hypercomplex Embeddings for Link Prediction type: conference user_id: '11871' year: '2021' ... --- _id: '29294' author: - first_name: Tobias full_name: Nickchen, Tobias id: '27340' last_name: Nickchen orcid: 0000-0001-8958-9330 - first_name: Stefan full_name: Heindorf, Stefan id: '11871' last_name: Heindorf orcid: 0000-0002-4525-6865 - first_name: Gregor full_name: Engels, Gregor id: '107' last_name: Engels citation: 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} }' 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. 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.' 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.' date_created: 2022-01-12T10:31:42Z date_updated: 2022-10-17T15:07:38Z department: - _id: '66' - _id: '574' doi: 10.1109/wacv48630.2021.00204 language: - iso: eng 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 oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) publication_status: published publisher: IEEE status: public title: Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts type: conference user_id: '11871' year: '2021' ... --- _id: '33733' author: - first_name: Stefan full_name: Heindorf, Stefan id: '11871' last_name: Heindorf orcid: 0000-0002-4525-6865 citation: 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. bibtex: '@article{Heindorf_2021, title={Automatically generating instructions from tutorials for search and user navigation}, author={Heindorf, Stefan}, year={2021} }' chicago: Heindorf, Stefan. “Automatically Generating Instructions from Tutorials for Search and User Navigation,” 2021. ieee: S. Heindorf, “Automatically generating instructions from tutorials for search and user navigation.” 2021. mla: Heindorf, Stefan. Automatically Generating Instructions from Tutorials for Search and User Navigation. 2021. short: S. Heindorf, (2021). date_created: 2022-10-15T19:19:10Z date_updated: 2022-10-17T15:21:49Z ipc: 'US15/885,363 ' ipn: '10936684' 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 status: public title: Automatically generating instructions from tutorials for search and user navigation type: patent user_id: '11871' year: '2021' ... --- _id: '26407' author: - first_name: Goran full_name: Piskachev, Goran id: '41936' last_name: Piskachev orcid: 0000-0003-4424-5838 - first_name: Ranjith full_name: Krishnamurthy, Ranjith last_name: Krishnamurthy - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: 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.' 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).' 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} }' 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.' 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.' short: 'G. Piskachev, R. Krishnamurthy, E. Bodden, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.' date_created: 2021-10-18T12:53:15Z date_updated: 2022-10-20T12:44:31Z department: - _id: '76' - _id: '662' language: - iso: eng publication: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) status: public title: 'SecuCheck: Engineering configurable taint analysis for software developers' type: conference user_id: '15249' year: '2021' ... --- _id: '22463' author: - first_name: Linghui full_name: Luo, Linghui last_name: Luo - first_name: Martin full_name: Schäf, Martin last_name: Schäf - first_name: Daniel full_name: Sanchez, Daniel last_name: Sanchez - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: 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.' 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. 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} }' 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. 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. 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.' date_created: 2021-06-17T10:18:05Z date_updated: 2022-10-20T13:11:45Z department: - _id: '76' language: - iso: eng publication: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering status: public title: IDE Support for Cloud-Based Static Analyses type: conference user_id: '15249' year: '2021' ... --- _id: '33840' author: - first_name: Kadiray full_name: Karakaya, Kadiray id: '70410' last_name: Karakaya orcid: https://orcid.org/0000-0001-9266-2084 - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 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.' 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} }' 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.' 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.' 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.' date_created: 2022-10-20T13:09:08Z date_updated: 2022-10-20T13:09:23Z department: - _id: '76' language: - iso: eng page: 181–186 publication: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) status: public title: 'SootFX: A Static Code Feature Extraction Tool for Java and Android' type: conference user_id: '15249' year: '2021' ... --- _id: '23728' 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: - first_name: Jan Philipp full_name: Höpker, Jan Philipp id: '33913' last_name: Höpker - first_name: Varun B full_name: Verma, Varun B last_name: Verma - first_name: Maximilian full_name: Protte, Maximilian id: '46170' last_name: Protte - first_name: Raimund full_name: Ricken, Raimund last_name: Ricken - first_name: Viktor full_name: Quiring, Viktor last_name: Quiring - first_name: Christof full_name: Eigner, Christof id: '13244' last_name: Eigner orcid: https://orcid.org/0000-0002-5693-3083 - first_name: Lena full_name: Ebers, Lena id: '40428' last_name: Ebers - first_name: Manfred full_name: Hammer, Manfred id: '48077' last_name: Hammer orcid: 0000-0002-6331-9348 - first_name: Jens full_name: Förstner, Jens id: '158' last_name: Förstner orcid: 0000-0001-7059-9862 - first_name: Christine full_name: Silberhorn, Christine id: '26263' last_name: Silberhorn - first_name: Richard P full_name: Mirin, Richard P last_name: Mirin - first_name: Sae full_name: Woo Nam, Sae last_name: Woo Nam - first_name: Tim full_name: Bartley, Tim id: '49683' last_name: Bartley citation: 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' 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' 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} }' 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.' 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.' 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.' 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.' date_created: 2021-09-03T08:04:06Z date_updated: 2022-10-25T07:34:42Z ddc: - '530' department: - _id: '15' - _id: '61' - _id: '230' doi: 10.1088/2515-7647/ac105b file: - access_level: open_access content_type: application/pdf creator: fossie date_created: 2021-09-07T07:41:04Z date_updated: 2021-09-07T07:41:04Z file_id: '23825' file_name: 2021-07 Höpker J._Phys._Photonics_3_034022.pdf file_size: 1097820 relation: main_file file_date_updated: 2021-09-07T07:41:04Z has_accepted_license: '1' intvolume: ' 3' language: - iso: eng oa: '1' page: '034022' project: - _id: '53' name: TRR 142 publication: 'Journal of Physics: Photonics' publication_identifier: issn: - 2515-7647 publication_status: published status: public title: Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides type: journal_article user_id: '49683' volume: 3 year: '2021' ... --- _id: '21509' author: - first_name: Stefanie Jutta Marianne full_name: Müller, Stefanie Jutta Marianne id: '70858' last_name: Müller - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch citation: ama: 'Müller SJM, Kundisch D. Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick. In: ; 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. 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} }' 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. mla: Müller, Stefanie Jutta Marianne, and Dennis Kundisch. Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick. 2021. short: 'S.J.M. Müller, D. Kundisch, in: 2021.' conference: location: Virtual Conference/Workshop name: 4th IASPM D-A-CH Conference date_created: 2021-03-15T14:33:50Z date_updated: 2022-10-26T10:01:17Z department: - _id: '276' language: - iso: ger status: public title: Gesellschaftliche Transformationen durch die Steigerung (popmusik)kultureller Teil-habe mittels innovativer Preiskonzepte – ein interdisziplinärer Literaturüberblick type: conference_abstract user_id: '16205' year: '2021' ... --- _id: '33895' 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. article_number: '5106' author: - first_name: Alan Adam full_name: Camberg, Alan Adam id: '60544' last_name: Camberg - first_name: Tobias full_name: Erhart, Tobias last_name: Erhart - first_name: Thomas full_name: Tröster, Thomas id: '553' last_name: Tröster citation: 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 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 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} }' 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. 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.' 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. short: A.A. Camberg, T. Erhart, T. Tröster, Materials 14 (2021). date_created: 2022-10-27T10:04:46Z date_updated: 2022-10-27T10:05:36Z department: - _id: '9' - _id: '149' - _id: '321' doi: 10.3390/ma14175106 intvolume: ' 14' issue: '17' keyword: - General Materials Science language: - iso: eng publication: Materials publication_identifier: issn: - 1996-1944 publication_status: published publisher: MDPI AG status: public title: A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in Heat-Assisted Forming Operations type: journal_article user_id: '15952' volume: 14 year: '2021' ...