---
_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'
...