---
_id: '55999'
abstract:
- lang: eng
text: Clean hydrogen is a key aspect of carbon neutrality, necessitating robust
methods for monitoring hydrogen concentration in critical infrastructures like
pipelines or power plants. While semiconducting metal oxides such as In2O3 can
monitor gas concentrations down to the ppm range, they often exhibit cross-sensitivity
to other gases like H2O. In this study, we investigated whether cyclic optical
illumination of a gas-sensitive In2O3 layer creates identifiable changes in a
gas sensor´s electronic resistance that can be linked to H2 and H2O concentrations
via machine learning. We exposed nanostructured In2O3 with a large surface area
of 95 m2 g-1 to H2 concentrations (0-800 ppm) and relative humidity (0-70%) under
cyclic activation utilizing blue light. The sensors were tested for 20 classes
of gas combinations. A support vector machine achieved classification rates up
to 92.0%, with reliable reproducibility (88.2 ± 2.7%) across five individual sensors
using 10-fold cross-validation. Our findings suggest that cyclic optical activation
can be used as a tool to classify H2 and H2O concentrations.
article_type: original
author:
- first_name: 'Dominik '
full_name: 'Baier, Dominik '
last_name: Baier
- first_name: 'Alexander '
full_name: 'Krüger, Alexander '
last_name: Krüger
- first_name: 'Thorsten '
full_name: 'Wagner, Thorsten '
last_name: Wagner
- first_name: Michael
full_name: Tiemann, Michael
id: '23547'
last_name: Tiemann
orcid: 0000-0003-1711-2722
- first_name: Christian
full_name: Weinberger, Christian
id: '11848'
last_name: Weinberger
citation:
ama: 'Baier D, Krüger A, Wagner T, Tiemann M, Weinberger C. Gas Sensing with Nanoporous
In2O3 under Cyclic Optical Activation: Machine Learning-Aided Classification of
H2 and H2O. Chemosensors. 2024;12(9):178. doi:10.3390/chemosensors12090178'
apa: 'Baier, D., Krüger, A., Wagner, T., Tiemann, M., & Weinberger, C. (2024).
Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided
Classification of H2 and H2O. Chemosensors, 12(9), 178. https://doi.org/10.3390/chemosensors12090178'
bibtex: '@article{Baier_Krüger_Wagner_Tiemann_Weinberger_2024, title={Gas Sensing
with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided
Classification of H2 and H2O}, volume={12}, DOI={10.3390/chemosensors12090178},
number={9}, journal={Chemosensors}, publisher={MDPI}, author={Baier, Dominik and
Krüger, Alexander and Wagner, Thorsten and Tiemann, Michael and Weinberger,
Christian}, year={2024}, pages={178} }'
chicago: 'Baier, Dominik , Alexander Krüger, Thorsten Wagner, Michael Tiemann,
and Christian Weinberger. “Gas Sensing with Nanoporous In2O3 under Cyclic Optical
Activation: Machine Learning-Aided Classification of H2 and H2O.” Chemosensors
12, no. 9 (2024): 178. https://doi.org/10.3390/chemosensors12090178.'
ieee: 'D. Baier, A. Krüger, T. Wagner, M. Tiemann, and C. Weinberger, “Gas Sensing
with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided
Classification of H2 and H2O,” Chemosensors, vol. 12, no. 9, p. 178, 2024,
doi: 10.3390/chemosensors12090178.'
mla: 'Baier, Dominik, et al. “Gas Sensing with Nanoporous In2O3 under Cyclic Optical
Activation: Machine Learning-Aided Classification of H2 and H2O.” Chemosensors,
vol. 12, no. 9, MDPI, 2024, p. 178, doi:10.3390/chemosensors12090178.'
short: D. Baier, A. Krüger, T. Wagner, M. Tiemann, C. Weinberger, Chemosensors 12
(2024) 178.
date_created: 2024-09-03T13:49:42Z
date_updated: 2025-11-26T12:14:21Z
ddc:
- '540'
department:
- _id: '2'
- _id: '307'
doi: 10.3390/chemosensors12090178
file:
- access_level: closed
content_type: application/pdf
creator: cweinber
date_created: 2024-09-03T13:58:18Z
date_updated: 2024-09-03T13:58:18Z
file_id: '56000'
file_name: chemosensors-12-00178.pdf
file_size: 3275869
relation: main_file
success: 1
file_date_updated: 2024-09-03T13:58:18Z
has_accepted_license: '1'
intvolume: ' 12'
issue: '9'
keyword:
- resistive gas sensor
- chemiresistor
- semiconductor
- metal oxide
- In2O3
- mesoporous
- hydrogen
- humidtiy
- machine learning
- sustainable
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2227-9040/12/9/178
oa: '1'
page: '178'
publication: Chemosensors
publication_identifier:
issn:
- 2227-9040
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: 'Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine
Learning-Aided Classification of H2 and H2O'
type: journal_article
user_id: '11848'
volume: 12
year: '2024'
...
---
_id: '56020'
abstract:
- lang: ger
text: Hass im Netz ist nicht nur ein Problem, sondern ermöglicht es einer bürgerlichen
Position, hegemoniale Ansprüche zu bekräftigen und zu legitimieren. Der Text geht
somit dem nach, was im Gegensatz zum abzulehnenden Diskurs als ‚gut‘ gezeichnet
wird. In diesem Gegensatz steht die bürgerliche Welt des Etablierten/Status quo
als Ort, in dem der ‚gute‘ Diskurs bereits erfüllt ist. Sie dient sich somit als
Standard und Vorbild für die sozialen Medien an und kann dabei gesellschaftliche
Kräfte mobilisieren, indem sie sich als bedroht und schützenswert darstellt.
article_type: original
author:
- first_name: Sebastian
full_name: Althoff, Sebastian
id: '89772'
last_name: Althoff
citation:
ama: 'Althoff S. Hass im Netz und die Konstruktion des “guten” Diskurses: Eine machtkritische
Analyse. merzWissenschaft. 2024;68(6):113-125. doi:https://doi.org/10.21240/merz/2024.6.10'
apa: 'Althoff, S. (2024). Hass im Netz und die Konstruktion des “guten” Diskurses:
Eine machtkritische Analyse. merzWissenschaft, 68(6), 113–125. https://doi.org/10.21240/merz/2024.6.10'
bibtex: '@article{Althoff_2024, title={Hass im Netz und die Konstruktion des “guten”
Diskurses: Eine machtkritische Analyse}, volume={68}, DOI={https://doi.org/10.21240/merz/2024.6.10},
number={6}, journal={merzWissenschaft}, author={Althoff, Sebastian}, year={2024},
pages={113–125} }'
chicago: 'Althoff, Sebastian. “Hass im Netz und die Konstruktion des ‘guten’ Diskurses:
Eine machtkritische Analyse.” merzWissenschaft 68, no. 6 (2024): 113–25.
https://doi.org/10.21240/merz/2024.6.10.'
ieee: 'S. Althoff, “Hass im Netz und die Konstruktion des ‘guten’ Diskurses: Eine
machtkritische Analyse,” merzWissenschaft, vol. 68, no. 6, pp. 113–125,
2024, doi: https://doi.org/10.21240/merz/2024.6.10.'
mla: 'Althoff, Sebastian. “Hass im Netz und die Konstruktion des ‘guten’ Diskurses:
Eine machtkritische Analyse.” merzWissenschaft, vol. 68, no. 6, 2024, pp.
113–25, doi:https://doi.org/10.21240/merz/2024.6.10.'
short: S. Althoff, merzWissenschaft 68 (2024) 113–125.
date_created: 2024-09-04T12:56:23Z
date_updated: 2025-11-27T09:52:55Z
doi: https://doi.org/10.21240/merz/2024.6.10
intvolume: ' 68'
issue: '6'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.merz-zeitschrift.de/article/view/2820/2872
oa: '1'
page: 113-125
publication: merzWissenschaft
publication_status: published
status: public
title: 'Hass im Netz und die Konstruktion des ''guten'' Diskurses: Eine machtkritische
Analyse'
type: journal_article
user_id: '89772'
volume: 68
year: '2024'
...
---
_id: '59223'
author:
- first_name: Tobias
full_name: Schwabe, Tobias
id: '39217'
last_name: Schwabe
- first_name: Khaleda
full_name: Mallick, Khaleda
last_name: Mallick
- first_name: Karanveer
full_name: Singh, Karanveer
last_name: Singh
- first_name: Thomas
full_name: Schneider, Thomas
last_name: Schneider
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: '0000-0002-5950-6618 '
citation:
ama: Schwabe T, Mallick K, Singh K, Schneider T, Scheytt JC. Precise Optical
Nyquist Pulse Synthesizer Digital- to-Analog-Converter Presentation 2024 SPP 2111
. Zenodo; 2024. doi:10.5281/zenodo.15114897
apa: Schwabe, T., Mallick, K., Singh, K., Schneider, T., & Scheytt, J. C. (2024).
Precise optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter presentation
2024 SPP 2111 . Zenodo. https://doi.org/10.5281/zenodo.15114897
bibtex: '@book{Schwabe_Mallick_Singh_Schneider_Scheytt_2024, title={Precise optical
Nyquist Pulse Synthesizer Digital- to-Analog-Converter presentation 2024 SPP 2111
}, DOI={10.5281/zenodo.15114897},
publisher={Zenodo}, author={Schwabe, Tobias and Mallick, Khaleda and Singh, Karanveer
and Schneider, Thomas and Scheytt, J. Christoph}, year={2024} }'
chicago: Schwabe, Tobias, Khaleda Mallick, Karanveer Singh, Thomas Schneider, and
J. Christoph Scheytt. Precise Optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter
Presentation 2024 SPP 2111 . Zenodo, 2024. https://doi.org/10.5281/zenodo.15114897.
ieee: T. Schwabe, K. Mallick, K. Singh, T. Schneider, and J. C. Scheytt, Precise
optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter presentation 2024
SPP 2111 . Zenodo, 2024.
mla: Schwabe, Tobias, et al. Precise Optical Nyquist Pulse Synthesizer Digital-
to-Analog-Converter Presentation 2024 SPP 2111 . Zenodo, 2024, doi:10.5281/zenodo.15114897.
short: T. Schwabe, K. Mallick, K. Singh, T. Schneider, J.C. Scheytt, Precise Optical
Nyquist Pulse Synthesizer Digital- to-Analog-Converter Presentation 2024 SPP 2111
, Zenodo, 2024.
date_created: 2025-04-01T07:36:59Z
date_updated: 2025-11-27T08:51:56Z
department:
- _id: '58'
doi: 10.5281/zenodo.15114897
language:
- iso: eng
publisher: Zenodo
status: public
title: 'Precise optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter presentation
2024 SPP 2111 '
type: misc
user_id: '39217'
year: '2024'
...
---
_id: '59224'
author:
- first_name: Tobias
full_name: Schwabe, Tobias
id: '39217'
last_name: Schwabe
- first_name: Karanveer
full_name: Singh, Karanveer
last_name: Singh
- first_name: Thomas
full_name: Schneider, Thomas
last_name: Schneider
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: '0000-0002-5950-6618 '
citation:
ama: Schwabe T, Singh K, Schneider T, Scheytt JC. Precise Optical Nyquist Pulse
Synthesizer Digital- to-Analog-Converter (PONyDAC II) 2024 SPP 2111 . Zenodo;
2024. doi:10.5281/zenodo.15114631
apa: Schwabe, T., Singh, K., Schneider, T., & Scheytt, J. C. (2024). Precise
optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter (PONyDAC II) 2024
SPP 2111 . Zenodo. https://doi.org/10.5281/zenodo.15114631
bibtex: '@book{Schwabe_Singh_Schneider_Scheytt_2024, title={Precise optical Nyquist
Pulse Synthesizer Digital- to-Analog-Converter (PONyDAC II) 2024 SPP 2111 }, DOI={10.5281/zenodo.15114631}, publisher={Zenodo},
author={Schwabe, Tobias and Singh, Karanveer and Schneider, Thomas and Scheytt,
J. Christoph}, year={2024} }'
chicago: Schwabe, Tobias, Karanveer Singh, Thomas Schneider, and J. Christoph Scheytt.
Precise Optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter (PONyDAC
II) 2024 SPP 2111 . Zenodo, 2024. https://doi.org/10.5281/zenodo.15114631.
ieee: T. Schwabe, K. Singh, T. Schneider, and J. C. Scheytt, Precise optical
Nyquist Pulse Synthesizer Digital- to-Analog-Converter (PONyDAC II) 2024 SPP 2111
. Zenodo, 2024.
mla: Schwabe, Tobias, et al. Precise Optical Nyquist Pulse Synthesizer Digital-
to-Analog-Converter (PONyDAC II) 2024 SPP 2111 . Zenodo, 2024, doi:10.5281/zenodo.15114631.
short: T. Schwabe, K. Singh, T. Schneider, J.C. Scheytt, Precise Optical Nyquist
Pulse Synthesizer Digital- to-Analog-Converter (PONyDAC II) 2024 SPP 2111 , Zenodo,
2024.
date_created: 2025-04-01T07:38:40Z
date_updated: 2025-11-27T08:52:52Z
department:
- _id: '58'
doi: 10.5281/zenodo.15114631
language:
- iso: eng
publisher: Zenodo
status: public
title: 'Precise optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter (PONyDAC
II) 2024 SPP 2111 '
type: misc
user_id: '39217'
year: '2024'
...
---
_id: '57103'
author:
- first_name: Vijayalakshmi
full_name: Surendranath Shroff, Vijayalakshmi
id: '76626'
last_name: Surendranath Shroff
- first_name: Meysam
full_name: Bahmanian, Meysam
id: '69233'
last_name: Bahmanian
- first_name: Stephan
full_name: Kruse, Stephan
id: '38254'
last_name: Kruse
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: '0000-0002-5950-6618 '
citation:
ama: 'Surendranath Shroff V, Bahmanian M, Kruse S, Scheytt JC. Design of an Ultra-Low
Phase Noise Broadband Amplifier in 130 nm SiGe BiCMOS Technology. In: 2024
IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium
(BCICTS) . IEEE; 2024. doi:10.1109/BCICTS59662.2024.10745663'
apa: Surendranath Shroff, V., Bahmanian, M., Kruse, S., & Scheytt, J. C. (2024).
Design of an Ultra-Low Phase Noise Broadband Amplifier in 130 nm SiGe BiCMOS Technology.
2024 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology
Symposium (BCICTS) . 2024 IEEE BiCMOS and Compound Semiconductor Integrated
Circuits and Technology Symposium (BCICTS) , Fort Lauderdale, Florida. https://doi.org/10.1109/BCICTS59662.2024.10745663
bibtex: '@inproceedings{Surendranath Shroff_Bahmanian_Kruse_Scheytt_2024, title={Design
of an Ultra-Low Phase Noise Broadband Amplifier in 130 nm SiGe BiCMOS Technology},
DOI={10.1109/BCICTS59662.2024.10745663},
booktitle={2024 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and
Technology Symposium (BCICTS) }, publisher={IEEE}, author={Surendranath Shroff,
Vijayalakshmi and Bahmanian, Meysam and Kruse, Stephan and Scheytt, J. Christoph},
year={2024} }'
chicago: Surendranath Shroff, Vijayalakshmi, Meysam Bahmanian, Stephan Kruse, and
J. Christoph Scheytt. “Design of an Ultra-Low Phase Noise Broadband Amplifier
in 130 Nm SiGe BiCMOS Technology.” In 2024 IEEE BiCMOS and Compound Semiconductor
Integrated Circuits and Technology Symposium (BCICTS) . IEEE, 2024. https://doi.org/10.1109/BCICTS59662.2024.10745663.
ieee: 'V. Surendranath Shroff, M. Bahmanian, S. Kruse, and J. C. Scheytt, “Design
of an Ultra-Low Phase Noise Broadband Amplifier in 130 nm SiGe BiCMOS Technology,”
presented at the 2024 IEEE BiCMOS and Compound Semiconductor Integrated Circuits
and Technology Symposium (BCICTS) , Fort Lauderdale, Florida, 2024, doi: 10.1109/BCICTS59662.2024.10745663.'
mla: Surendranath Shroff, Vijayalakshmi, et al. “Design of an Ultra-Low Phase Noise
Broadband Amplifier in 130 Nm SiGe BiCMOS Technology.” 2024 IEEE BiCMOS and
Compound Semiconductor Integrated Circuits and Technology Symposium (BCICTS) ,
IEEE, 2024, doi:10.1109/BCICTS59662.2024.10745663.
short: 'V. Surendranath Shroff, M. Bahmanian, S. Kruse, J.C. Scheytt, in: 2024 IEEE
BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium
(BCICTS) , IEEE, 2024.'
conference:
location: Fort Lauderdale, Florida
name: '2024 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology
Symposium (BCICTS) '
date_created: 2024-11-15T09:57:42Z
date_updated: 2025-11-28T05:39:07Z
ddc:
- '620'
department:
- _id: '58'
doi: 10.1109/BCICTS59662.2024.10745663
language:
- iso: eng
publication: '2024 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and
Technology Symposium (BCICTS) '
publisher: IEEE
status: public
title: Design of an Ultra-Low Phase Noise Broadband Amplifier in 130 nm SiGe BiCMOS
Technology
type: conference
user_id: '76626'
year: '2024'
...
---
_id: '57160'
abstract:
- lang: eng
text: Large audio tagging models are usually trained or pre-trained on AudioSet,
a dataset that encompasses a large amount of different sound classes and acoustic
environments. Knowledge distillation has emerged as a method to compress such
models without compromising their effectiveness. There are many different applications
for audio tagging, some of which require a specialization to a narrow domain of
sounds to be classified. For these scenarios, it is beneficial to distill the
large audio tagger with respect to a specific subset of sounds of interest. A
method to prune a general dataset with respect to a target dataset is presented.
By distilling with such a specialized pruned dataset, we obtain a compressed model
with better classification accuracy in the specific target domain than with target-agnostic
distillation.
author:
- first_name: Alexander
full_name: Werning, Alexander
id: '62152'
last_name: Werning
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Werning A, Haeb-Umbach R. Target-Specific Dataset Pruning for Compression
of Audio Tagging Models. In: 32nd European Signal Processing Conference (EUSIPCO
2024). ; 2024.'
apa: Werning, A., & Haeb-Umbach, R. (2024). Target-Specific Dataset Pruning
for Compression of Audio Tagging Models. 32nd European Signal Processing Conference
(EUSIPCO 2024). 32nd European Signal Processing Conference, Lyon.
bibtex: '@inproceedings{Werning_Haeb-Umbach_2024, title={Target-Specific Dataset
Pruning for Compression of Audio Tagging Models}, booktitle={32nd European Signal
Processing Conference (EUSIPCO 2024)}, author={Werning, Alexander and Haeb-Umbach,
Reinhold}, year={2024} }'
chicago: Werning, Alexander, and Reinhold Haeb-Umbach. “Target-Specific Dataset
Pruning for Compression of Audio Tagging Models.” In 32nd European Signal Processing
Conference (EUSIPCO 2024), 2024.
ieee: A. Werning and R. Haeb-Umbach, “Target-Specific Dataset Pruning for Compression
of Audio Tagging Models,” presented at the 32nd European Signal Processing Conference,
Lyon, 2024.
mla: Werning, Alexander, and Reinhold Haeb-Umbach. “Target-Specific Dataset Pruning
for Compression of Audio Tagging Models.” 32nd European Signal Processing Conference
(EUSIPCO 2024), 2024.
short: 'A. Werning, R. Haeb-Umbach, in: 32nd European Signal Processing Conference
(EUSIPCO 2024), 2024.'
conference:
location: Lyon
name: 32nd European Signal Processing Conference
date_created: 2024-11-18T09:29:16Z
date_updated: 2025-11-28T13:22:00Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: closed
content_type: application/pdf
creator: awerning
date_created: 2024-11-18T12:10:09Z
date_updated: 2024-11-18T12:10:09Z
file_id: '57200'
file_name: Eusipco__Target_specific_Dataset_Pruning_for_Compression_of_Audio_Tagging_Models.pdf
file_size: 183539
relation: main_file
success: 1
file_date_updated: 2024-11-18T12:10:09Z
has_accepted_license: '1'
keyword:
- data pruning
- knowledge distillation
- audio tagging
language:
- iso: eng
project:
- _id: '512'
name: WestAI - AI Service Center West
publication: 32nd European Signal Processing Conference (EUSIPCO 2024)
quality_controlled: '1'
status: public
title: Target-Specific Dataset Pruning for Compression of Audio Tagging Models
type: conference
user_id: '62152'
year: '2024'
...
---
_id: '62702'
abstract:
- lang: eng
text: 'Clifford algebras are a natural extension of division algebras, including
real numbers, complex numbers, quaternions, and octonions. Previous research in
knowledge graph embeddings has focused exclusively on Clifford algebras of a specific
type, which do not include nilpotent base vectors—elements that square to zero.
In this work, we introduce a novel approach by incorporating nilpotent base vectors
with a nilpotency index of two, leading to a more general form of Clifford algebras
named degenerate Clifford algebras. This generalization to degenerate Clifford
algebras does allow for covering dual numbers and as such include translations
and rotations models under the same generalization paradigm for the first time.
We develop two models to determine the parameters that define the algebra: one
using a greedy search and another predicting the parameters based on neural network
embeddings of the input knowledge graph. Our evaluation on seven benchmark datasets
demonstrates that this incorporation of nilpotent vectors enhances the quality
of embeddings. Additionally, our method outperforms state-of-the-art approaches
in terms of generalization, particularly regarding the mean reciprocal rank achieved
on validation data. Finally, we show that even a simple greedy search can effectively
discover optimal or near-optimal parameters for the algebra.'
author:
- first_name: Louis Mozart
full_name: Kamdem Teyou, Louis Mozart
last_name: Kamdem Teyou
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Kamdem Teyou LM, Demir C, Ngonga Ngomo A-C. Embedding Knowledge Graphs in
Degenerate Clifford Algebras. In: Frontiers in Artificial Intelligence and
Applications. IOS Press; 2024. doi:10.3233/faia240627'
apa: Kamdem Teyou, L. M., Demir, C., & Ngonga Ngomo, A.-C. (2024). Embedding
Knowledge Graphs in Degenerate Clifford Algebras. In Frontiers in Artificial
Intelligence and Applications. 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE,
Santiago de Compostela. IOS Press. https://doi.org/10.3233/faia240627
bibtex: '@inbook{Kamdem Teyou_Demir_Ngonga Ngomo_2024, title={Embedding Knowledge
Graphs in Degenerate Clifford Algebras}, DOI={10.3233/faia240627},
booktitle={Frontiers in Artificial Intelligence and Applications}, publisher={IOS
Press}, author={Kamdem Teyou, Louis Mozart and Demir, Caglar and Ngonga Ngomo,
Axel-Cyrille}, year={2024} }'
chicago: Kamdem Teyou, Louis Mozart, Caglar Demir, and Axel-Cyrille Ngonga Ngomo.
“Embedding Knowledge Graphs in Degenerate Clifford Algebras.” In Frontiers
in Artificial Intelligence and Applications. IOS Press, 2024. https://doi.org/10.3233/faia240627.
ieee: L. M. Kamdem Teyou, C. Demir, and A.-C. Ngonga Ngomo, “Embedding Knowledge
Graphs in Degenerate Clifford Algebras,” in Frontiers in Artificial Intelligence
and Applications, IOS Press, 2024.
mla: Kamdem Teyou, Louis Mozart, et al. “Embedding Knowledge Graphs in Degenerate
Clifford Algebras.” Frontiers in Artificial Intelligence and Applications,
IOS Press, 2024, doi:10.3233/faia240627.
short: 'L.M. Kamdem Teyou, C. Demir, A.-C. Ngonga Ngomo, in: Frontiers in Artificial
Intelligence and Applications, IOS Press, 2024.'
conference:
end_date: 2024-10-24
location: Santiago de Compostela
name: 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE
start_date: 2024-10-19
date_created: 2025-11-28T14:32:43Z
date_updated: 2025-11-28T14:57:09Z
department:
- _id: '34'
- _id: '574'
doi: 10.3233/faia240627
language:
- iso: eng
popular_science: '1'
publication: Frontiers in Artificial Intelligence and Applications
publication_identifier:
isbn:
- '9781643685489'
issn:
- 0922-6389
- 1879-8314
publication_status: published
publisher: IOS Press
quality_controlled: '1'
status: public
title: Embedding Knowledge Graphs in Degenerate Clifford Algebras
type: book_chapter
user_id: '101165'
year: '2024'
...
---
_id: '62703'
abstract:
- lang: eng
text: We introduce a novel embedding method diverging from conventional approaches
by operating within function spaces of finite dimension rather than finite vector
space, thus departing significantly from standard knowledge graph embedding techniques.
Initially employing polynomial functions to compute embeddings, we progress to
more intricate representations using neural networks with varying layer complexities.
We argue that employing functions for embedding computation enhances expressiveness
and allows for more degrees of freedom, enabling operations such as composition,
derivatives and primitive of entities representation. Additionally, we meticulously
outline the step-by-step construction of our approach and provide code for reproducibility,
thereby facilitating further exploration and application in the field.
author:
- first_name: Louis Mozart
full_name: Kamdem Teyou, Louis Mozart
last_name: Kamdem Teyou
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Kamdem Teyou LM, Demir C, Ngonga Ngomo A-C. Embedding Knowledge Graphs in
Function Spaces. In: Proceedings of the 33rd ACM International Conference on
Information and Knowledge Management. ACM; 2024. doi:10.1145/3627673.3679819'
apa: Kamdem Teyou, L. M., Demir, C., & Ngonga Ngomo, A.-C. (2024). Embedding
Knowledge Graphs in Function Spaces. Proceedings of the 33rd ACM International
Conference on Information and Knowledge Management. 33rd ACM International
Conference on Information and Knowledge Management, Boise. https://doi.org/10.1145/3627673.3679819
bibtex: '@inproceedings{Kamdem Teyou_Demir_Ngonga Ngomo_2024, place={Boise}, title={Embedding
Knowledge Graphs in Function Spaces}, DOI={10.1145/3627673.3679819},
booktitle={Proceedings of the 33rd ACM International Conference on Information
and Knowledge Management}, publisher={ACM}, author={Kamdem Teyou, Louis Mozart
and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
chicago: 'Kamdem Teyou, Louis Mozart, Caglar Demir, and Axel-Cyrille Ngonga Ngomo.
“Embedding Knowledge Graphs in Function Spaces.” In Proceedings of the 33rd
ACM International Conference on Information and Knowledge Management. Boise:
ACM, 2024. https://doi.org/10.1145/3627673.3679819.'
ieee: 'L. M. Kamdem Teyou, C. Demir, and A.-C. Ngonga Ngomo, “Embedding Knowledge
Graphs in Function Spaces,” presented at the 33rd ACM International Conference
on Information and Knowledge Management, Boise, 2024, doi: 10.1145/3627673.3679819.'
mla: Kamdem Teyou, Louis Mozart, et al. “Embedding Knowledge Graphs in Function
Spaces.” Proceedings of the 33rd ACM International Conference on Information
and Knowledge Management, ACM, 2024, doi:10.1145/3627673.3679819.
short: 'L.M. Kamdem Teyou, C. Demir, A.-C. Ngonga Ngomo, in: Proceedings of the
33rd ACM International Conference on Information and Knowledge Management, ACM,
Boise, 2024.'
conference:
end_date: 2024-10-25
location: Boise
name: 33rd ACM International Conference on Information and Knowledge Management
start_date: 2024-10-21
date_created: 2025-11-28T14:42:32Z
date_updated: 2025-11-28T14:57:24Z
department:
- _id: '34'
- _id: '574'
doi: 10.1145/3627673.3679819
language:
- iso: eng
place: Boise
publication: Proceedings of the 33rd ACM International Conference on Information and
Knowledge Management
publication_status: published
publisher: ACM
status: public
title: Embedding Knowledge Graphs in Function Spaces
type: conference
user_id: '101165'
year: '2024'
...
---
_id: '56267'
author:
- first_name: Laura
full_name: Serino, Laura
id: '88242'
last_name: Serino
- first_name: Werner
full_name: Ridder, Werner
id: '63574'
last_name: Ridder
- first_name: Abhinandan
full_name: Bhattacharjee, Abhinandan
id: '95902'
last_name: Bhattacharjee
- first_name: Jano
full_name: Gil López, Jano
id: '51223'
last_name: Gil López
- first_name: Benjamin
full_name: Brecht, Benjamin
id: '27150'
last_name: Brecht
orcid: '0000-0003-4140-0556 '
- first_name: Christine
full_name: Silberhorn, Christine
id: '26263'
last_name: Silberhorn
citation:
ama: 'Serino L, Ridder W, Bhattacharjee A, Gil López J, Brecht B, Silberhorn C.
Orchestrating time and color: a programmable source of high-dimensional entanglement.
Optica Quantum. Published online 2024. doi:10.1364/opticaq.532334'
apa: 'Serino, L., Ridder, W., Bhattacharjee, A., Gil López, J., Brecht, B., &
Silberhorn, C. (2024). Orchestrating time and color: a programmable source of
high-dimensional entanglement. Optica Quantum. https://doi.org/10.1364/opticaq.532334'
bibtex: '@article{Serino_Ridder_Bhattacharjee_Gil López_Brecht_Silberhorn_2024,
title={Orchestrating time and color: a programmable source of high-dimensional
entanglement}, DOI={10.1364/opticaq.532334},
journal={Optica Quantum}, publisher={Optica Publishing Group}, author={Serino,
Laura and Ridder, Werner and Bhattacharjee, Abhinandan and Gil López, Jano and
Brecht, Benjamin and Silberhorn, Christine}, year={2024} }'
chicago: 'Serino, Laura, Werner Ridder, Abhinandan Bhattacharjee, Jano Gil López,
Benjamin Brecht, and Christine Silberhorn. “Orchestrating Time and Color: A Programmable
Source of High-Dimensional Entanglement.” Optica Quantum, 2024. https://doi.org/10.1364/opticaq.532334.'
ieee: 'L. Serino, W. Ridder, A. Bhattacharjee, J. Gil López, B. Brecht, and C. Silberhorn,
“Orchestrating time and color: a programmable source of high-dimensional entanglement,”
Optica Quantum, 2024, doi: 10.1364/opticaq.532334.'
mla: 'Serino, Laura, et al. “Orchestrating Time and Color: A Programmable Source
of High-Dimensional Entanglement.” Optica Quantum, Optica Publishing Group,
2024, doi:10.1364/opticaq.532334.'
short: L. Serino, W. Ridder, A. Bhattacharjee, J. Gil López, B. Brecht, C. Silberhorn,
Optica Quantum (2024).
date_created: 2024-09-27T11:46:59Z
date_updated: 2025-12-01T08:49:46Z
department:
- _id: '288'
- _id: '623'
- _id: '288'
doi: 10.1364/opticaq.532334
language:
- iso: eng
project:
- _id: '211'
name: 'QuICHE: Quanteninformation und Quantenkommunikation mit hochdimensionaler
Informationskodierung (QuICHE)'
publication: Optica Quantum
publication_identifier:
issn:
- 2837-6714
publication_status: published
publisher: Optica Publishing Group
status: public
title: 'Orchestrating time and color: a programmable source of high-dimensional entanglement'
type: journal_article
user_id: '63574'
year: '2024'
...
---
_id: '62739'
author:
- first_name: Tobias
full_name: Bornemann, Tobias
id: '88419'
last_name: Bornemann
orcid: 0000-0003-4299-0551
- first_name: Zoltán
full_name: Novotny–Farkas, Zoltán
last_name: Novotny–Farkas
citation:
ama: Bornemann T, Novotny–Farkas Z. Does the Accounting Classification of Hybrid
Financial Instruments as Debt or Equity Matter?; 2024. doi:10.2139/ssrn.4821642
apa: Bornemann, T., & Novotny–Farkas, Z. (2024). Does the Accounting Classification
of Hybrid Financial Instruments as Debt or Equity Matter? https://doi.org/10.2139/ssrn.4821642
bibtex: '@book{Bornemann_Novotny–Farkas_2024, title={Does the Accounting Classification
of Hybrid Financial Instruments as Debt or Equity Matter?}, DOI={10.2139/ssrn.4821642},
author={Bornemann, Tobias and Novotny–Farkas, Zoltán}, year={2024} }'
chicago: Bornemann, Tobias, and Zoltán Novotny–Farkas. Does the Accounting Classification
of Hybrid Financial Instruments as Debt or Equity Matter?, 2024. https://doi.org/10.2139/ssrn.4821642.
ieee: T. Bornemann and Z. Novotny–Farkas, Does the Accounting Classification
of Hybrid Financial Instruments as Debt or Equity Matter? 2024.
mla: Bornemann, Tobias, and Zoltán Novotny–Farkas. Does the Accounting Classification
of Hybrid Financial Instruments as Debt or Equity Matter? 2024, doi:10.2139/ssrn.4821642.
short: T. Bornemann, Z. Novotny–Farkas, Does the Accounting Classification of Hybrid
Financial Instruments as Debt or Equity Matter?, 2024.
date_created: 2025-12-02T08:50:03Z
date_updated: 2025-12-02T08:50:23Z
department:
- _id: '187'
doi: 10.2139/ssrn.4821642
language:
- iso: eng
status: public
title: Does the Accounting Classification of Hybrid Financial Instruments as Debt
or Equity Matter?
type: working_paper
user_id: '96670'
year: '2024'
...
---
_id: '57278'
author:
- first_name: Ana Alexandra
full_name: Morim da Silva, Ana Alexandra
id: '72108'
last_name: Morim da Silva
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Tatiana
full_name: Moteu Ngoli, Tatiana
id: '99174'
last_name: Moteu Ngoli
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Morim da Silva AA, Srivastava N, Moteu Ngoli T, Röder M, Moussallem D, Ngonga
Ngomo A-C. Benchmarking Low-Resource Machine Translation Systems. In: Proceedings
of the Seventh Workshop on Technologies for Machine Translation of Low-Resource
Languages (LoResMT 2024). Association for Computational Linguistics; 2024.
doi:10.18653/v1/2024.loresmt-1.18'
apa: Morim da Silva, A. A., Srivastava, N., Moteu Ngoli, T., Röder, M., Moussallem,
D., & Ngonga Ngomo, A.-C. (2024). Benchmarking Low-Resource Machine Translation
Systems. Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024). https://doi.org/10.18653/v1/2024.loresmt-1.18
bibtex: '@inproceedings{Morim da Silva_Srivastava_Moteu Ngoli_Röder_Moussallem_Ngonga
Ngomo_2024, title={Benchmarking Low-Resource Machine Translation Systems}, DOI={10.18653/v1/2024.loresmt-1.18},
booktitle={Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024)}, publisher={Association for Computational
Linguistics}, author={Morim da Silva, Ana Alexandra and Srivastava, Nikit and
Moteu Ngoli, Tatiana and Röder, Michael and Moussallem, Diego and Ngonga Ngomo,
Axel-Cyrille}, year={2024} }'
chicago: Morim da Silva, Ana Alexandra, Nikit Srivastava, Tatiana Moteu Ngoli, Michael
Röder, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Benchmarking Low-Resource
Machine Translation Systems.” In Proceedings of the Seventh Workshop on Technologies
for Machine Translation of Low-Resource Languages (LoResMT 2024). Association
for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.loresmt-1.18.
ieee: 'A. A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem,
and A.-C. Ngonga Ngomo, “Benchmarking Low-Resource Machine Translation Systems,”
2024, doi: 10.18653/v1/2024.loresmt-1.18.'
mla: Morim da Silva, Ana Alexandra, et al. “Benchmarking Low-Resource Machine Translation
Systems.” Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024), Association for Computational Linguistics,
2024, doi:10.18653/v1/2024.loresmt-1.18.
short: 'A.A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem,
A.-C. Ngonga Ngomo, in: Proceedings of the Seventh Workshop on Technologies for
Machine Translation of Low-Resource Languages (LoResMT 2024), Association for
Computational Linguistics, 2024.'
date_created: 2024-11-20T10:41:16Z
date_updated: 2025-12-02T19:29:53Z
doi: 10.18653/v1/2024.loresmt-1.18
language:
- iso: eng
publication: Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024)
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: Benchmarking Low-Resource Machine Translation Systems
type: conference
user_id: '70066'
year: '2024'
...
---
_id: '54784'
author:
- first_name: Thomas
full_name: Janzen, Thomas
id: '89329'
last_name: Janzen
orcid: 0009-0003-1941-166X
- first_name: Christoph
full_name: Vogelsang, Christoph
id: '4245'
last_name: Vogelsang
orcid: 0000-0002-5804-1855
- first_name: Dominik
full_name: Rumlich, Dominik
id: '76026'
last_name: Rumlich
orcid: 0000-0001-8682-450X
citation:
ama: 'Janzen T, Vogelsang C, Rumlich D. Feedbackkompetenz handlungsnah prüfen: Die
Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende
Englischlehrkräfte. In: Gerlach D, ed. Wissen, Können und Handeln von Fremdsprachenlehrpersonen.
Lang; 2024:221-234.'
apa: 'Janzen, T., Vogelsang, C., & Rumlich, D. (2024). Feedbackkompetenz handlungsnah
prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat
für angehende Englischlehrkräfte. In D. Gerlach (Ed.), Wissen, Können und Handeln
von Fremdsprachenlehrpersonen (pp. 221–234). Lang.'
bibtex: '@inbook{Janzen_Vogelsang_Rumlich_2024, title={Feedbackkompetenz handlungsnah
prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat
für angehende Englischlehrkräfte}, booktitle={Wissen, Können und Handeln von Fremdsprachenlehrpersonen},
publisher={Lang}, author={Janzen, Thomas and Vogelsang, Christoph and Rumlich,
Dominik}, editor={Gerlach, David}, year={2024}, pages={221–234} }'
chicago: 'Janzen, Thomas, Christoph Vogelsang, and Dominik Rumlich. “Feedbackkompetenz
handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als
Prüfungsformat für angehende Englischlehrkräfte.” In Wissen, Können und Handeln
von Fremdsprachenlehrpersonen, edited by David Gerlach, 221–34. Lang, 2024.'
ieee: 'T. Janzen, C. Vogelsang, and D. Rumlich, “Feedbackkompetenz handlungsnah
prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat
für angehende Englischlehrkräfte,” in Wissen, Können und Handeln von Fremdsprachenlehrpersonen,
D. Gerlach, Ed. Lang, 2024, pp. 221–234.'
mla: 'Janzen, Thomas, et al. “Feedbackkompetenz handlungsnah prüfen: Die Entwicklung
einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte.”
Wissen, Können und Handeln von Fremdsprachenlehrpersonen, edited by David
Gerlach, Lang, 2024, pp. 221–34.'
short: 'T. Janzen, C. Vogelsang, D. Rumlich, in: D. Gerlach (Ed.), Wissen, Können
und Handeln von Fremdsprachenlehrpersonen, Lang, 2024, pp. 221–234.'
date_created: 2024-06-17T09:46:13Z
date_updated: 2025-12-03T08:56:48Z
department:
- _id: '33'
- _id: '376'
editor:
- first_name: David
full_name: Gerlach, David
last_name: Gerlach
language:
- iso: ger
page: 221-234
publication: Wissen, Können und Handeln von Fremdsprachenlehrpersonen
publication_identifier:
unknown:
- 978-3-631-90410-7
publisher: Lang
quality_controlled: '1'
status: public
title: 'Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten
Simulation als Prüfungsformat für angehende Englischlehrkräfte'
type: book_chapter
user_id: '4245'
year: '2024'
...
---
_id: '54811'
author:
- first_name: Pascal
full_name: Pollmeier, Pascal
id: '44191'
last_name: Pollmeier
- first_name: Christoph
full_name: Vogelsang, Christoph
id: '4245'
last_name: Vogelsang
orcid: 0000-0002-5804-1855
- first_name: Tim
full_name: Rogge, Tim
last_name: Rogge
citation:
ama: 'Pollmeier P, Vogelsang C, Rogge T. Eigenvideografien als Instrument zur Professionalisierung
angehender Lehrkräfte. In: van Vorst H, ed. Frühe Naturwissenschaftliche Bildung.
Vol 44. Tagungsband zur GDCP Jahrestagung. ; 2024.'
apa: Pollmeier, P., Vogelsang, C., & Rogge, T. (2024). Eigenvideografien als
Instrument zur Professionalisierung angehender Lehrkräfte. In H. van Vorst (Ed.),
Frühe naturwissenschaftliche Bildung (Vol. 44).
bibtex: '@inproceedings{Pollmeier_Vogelsang_Rogge_2024, place={Essen}, series={Tagungsband
zur GDCP Jahrestagung}, title={Eigenvideografien als Instrument zur Professionalisierung
angehender Lehrkräfte}, volume={44}, booktitle={Frühe naturwissenschaftliche Bildung},
author={Pollmeier, Pascal and Vogelsang, Christoph and Rogge, Tim}, editor={van
Vorst, Helena}, year={2024}, collection={Tagungsband zur GDCP Jahrestagung} }'
chicago: Pollmeier, Pascal, Christoph Vogelsang, and Tim Rogge. “Eigenvideografien
Als Instrument Zur Professionalisierung Angehender Lehrkräfte.” In Frühe Naturwissenschaftliche
Bildung, edited by Helena van Vorst, Vol. 44. Tagungsband Zur GDCP Jahrestagung.
Essen, 2024.
ieee: P. Pollmeier, C. Vogelsang, and T. Rogge, “Eigenvideografien als Instrument
zur Professionalisierung angehender Lehrkräfte,” in Frühe naturwissenschaftliche
Bildung, Hamburg, 2024, vol. 44.
mla: Pollmeier, Pascal, et al. “Eigenvideografien Als Instrument Zur Professionalisierung
Angehender Lehrkräfte.” Frühe Naturwissenschaftliche Bildung, edited by
Helena van Vorst, vol. 44, 2024.
short: 'P. Pollmeier, C. Vogelsang, T. Rogge, in: H. van Vorst (Ed.), Frühe Naturwissenschaftliche
Bildung, Essen, 2024.'
conference:
end_date: 2023-09-14
location: Hamburg
name: 50. Jahrestagung der Gesellschaft für Didaktik der Chemie und Physik e.V.
start_date: 2023-09-11
date_created: 2024-06-18T14:38:45Z
date_updated: 2025-12-03T09:01:45Z
department:
- _id: '386'
- _id: '33'
- _id: '450'
editor:
- first_name: Helena
full_name: van Vorst, Helena
last_name: van Vorst
intvolume: ' 44'
language:
- iso: eng
main_file_link:
- url: https://gdcp-ev.de/wp-content/uploads/securepdfs/2024/06/E04_Pollmeier.pdf
place: Essen
publication: Frühe naturwissenschaftliche Bildung
series_title: Tagungsband zur GDCP Jahrestagung
status: public
title: Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte
type: conference
user_id: '4245'
volume: 44
year: '2024'
...
---
_id: '62767'
abstract:
- lang: eng
text: "Abstract\r\n In this study, we
develop a novel multi-fidelity deep learning approach that transforms low-fidelity
solution maps into high-fidelity ones by incorporating parametric space information
into an autoencoder architecture. This method’s integration of parametric space
information significantly reduces the amount of training data needed to effectively
predict high-fidelity solutions from low-fidelity ones. In this study, we examine
a two-dimensional steady-state heat transfer analysis within a heterogeneous materials
microstructure. The heat conductivity coefficients for two different materials
are condensed from a 101 \r\n \r\n
\ $$\\times $$\r\n \r\n ×\r\n
\ \r\n \r\n 101
grid to smaller grids. We then solve the boundary value problem on the coarsest
grid using a pre-trained physics-informed neural operator network known as Finite
Operator Learning (FOL). The resulting low-fidelity solution is subsequently upscaled
back to a 101 \r\n \r\n $$\\times
$$\r\n \r\n
\ ×\r\n \r\n \r\n
\ 101 grid using a newly designed enhanced autoencoder.
The novelty of the developed enhanced autoencoder lies in the concatenation of
heat conductivity maps of different resolutions to the decoder segment in distinct
steps. Hence the developed algorithm is named microstructure-embedded autoencoder
(MEA). We compare the MEA outcomes with those from finite element methods, the
standard U-Net, and an interpolation approach as an upscaling technique. Our analysis
shows that MEA outperforms these methods in terms of computational efficiency
and error on representative test cases. As a result, the MEA serves as a potential
supplement to neural operator networks, effectively upscaling low-fidelity solutions
to high-fidelity while preserving critical details often lost in traditional upscaling
methods, such as sharp interfaces features lost in the context of interpolation
approaches."
author:
- first_name: Rasoul
full_name: Najafi Koopas, Rasoul
last_name: Najafi Koopas
- first_name: Shahed
full_name: Rezaei, Shahed
last_name: Rezaei
- first_name: Natalie
full_name: Rauter, Natalie
last_name: Rauter
- first_name: Richard
full_name: Ostwald, Richard
id: '106876'
last_name: Ostwald
orcid: 0000-0003-2147-8444
- first_name: Rolf
full_name: Lammering, Rolf
last_name: Lammering
citation:
ama: Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. Introducing a
microstructure-embedded autoencoder approach for reconstructing high-resolution
solution field data from a reduced parametric space. Computational Mechanics.
2024;75(4):1377-1406. doi:10.1007/s00466-024-02568-z
apa: Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., & Lammering, R.
(2024). Introducing a microstructure-embedded autoencoder approach for reconstructing
high-resolution solution field data from a reduced parametric space. Computational
Mechanics, 75(4), 1377–1406. https://doi.org/10.1007/s00466-024-02568-z
bibtex: '@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={Introducing
a microstructure-embedded autoencoder approach for reconstructing high-resolution
solution field data from a reduced parametric space}, volume={75}, DOI={10.1007/s00466-024-02568-z},
number={4}, journal={Computational Mechanics}, publisher={Springer Science and
Business Media LLC}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter,
Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024}, pages={1377–1406}
}'
chicago: 'Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald,
and Rolf Lammering. “Introducing a Microstructure-Embedded Autoencoder Approach
for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric
Space.” Computational Mechanics 75, no. 4 (2024): 1377–1406. https://doi.org/10.1007/s00466-024-02568-z.'
ieee: 'R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “Introducing
a microstructure-embedded autoencoder approach for reconstructing high-resolution
solution field data from a reduced parametric space,” Computational Mechanics,
vol. 75, no. 4, pp. 1377–1406, 2024, doi: 10.1007/s00466-024-02568-z.'
mla: Najafi Koopas, Rasoul, et al. “Introducing a Microstructure-Embedded Autoencoder
Approach for Reconstructing High-Resolution Solution Field Data from a Reduced
Parametric Space.” Computational Mechanics, vol. 75, no. 4, Springer Science
and Business Media LLC, 2024, pp. 1377–406, doi:10.1007/s00466-024-02568-z.
short: R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Computational
Mechanics 75 (2024) 1377–1406.
date_created: 2025-12-03T12:37:08Z
date_updated: 2025-12-03T12:51:26Z
department:
- _id: '952'
- _id: '321'
doi: 10.1007/s00466-024-02568-z
intvolume: ' 75'
issue: '4'
language:
- iso: eng
page: 1377-1406
publication: Computational Mechanics
publication_identifier:
issn:
- 0178-7675
- 1432-0924
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Introducing a microstructure-embedded autoencoder approach for reconstructing
high-resolution solution field data from a reduced parametric space
type: journal_article
user_id: '85414'
volume: 75
year: '2024'
...
---
_id: '62770'
abstract:
- lang: eng
text: AbstractThe open-source parameter identification
tool ADAPT (A diversely applicable parameter identification Tool) is integrated
with a machine learning-based approach for start value prediction in order to
calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative
example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network
(ANN) is initially trained by using load–displacement curves derived from simulations
of a boundary value problem—instead of using data generated for homogeneous states
of deformation at material point or one-element level—with varying material parameter
combinations. The ANN is then employed so as to predict sets of material parameters
that already provide close solutions to the experiment. These predicted parameter
sets serve as starting values for a subsequent multi-objective parameter identification
by using ADAPT. ADAPT allows for the consideration of input data from multiple
scales, including integral data such as load–displacement curves, full-field data
such as displacement and strain fields, and high-resolution experimental void
data at the micro-scale. The influence of each data set on prediction quality
is analyzed. Using various types of input data introduces additional information,
enhancing prediction accuracy. The validation is carried out with respect to experimental
void measurements of forward rod extruded parts. The results demonstrate, by incorporating
void measurements in the optimization process, that it is possible to improve
the quantitative prediction of ductile damage in the sense of void area fractions
by factor 28 in forward rod extrusion.
author:
- first_name: Jan
full_name: Gerlach, Jan
last_name: Gerlach
- first_name: Robin
full_name: Schulte, Robin
last_name: Schulte
- first_name: Alexander
full_name: Schowtjak, Alexander
last_name: Schowtjak
- first_name: Till
full_name: Clausmeyer, Till
last_name: Clausmeyer
- first_name: Richard
full_name: Ostwald, Richard
id: '106876'
last_name: Ostwald
orcid: 0000-0003-2147-8444
- first_name: A. Erman
full_name: Tekkaya, A. Erman
last_name: Tekkaya
- first_name: Andreas
full_name: Menzel, Andreas
last_name: Menzel
citation:
ama: Gerlach J, Schulte R, Schowtjak A, et al. Enhancing damage prediction in bulk
metal forming through machine learning-assisted parameter identification. Archive
of Applied Mechanics. 2024;94(8):2217-2242. doi:10.1007/s00419-024-02634-1
apa: Gerlach, J., Schulte, R., Schowtjak, A., Clausmeyer, T., Ostwald, R., Tekkaya,
A. E., & Menzel, A. (2024). Enhancing damage prediction in bulk metal forming
through machine learning-assisted parameter identification. Archive of Applied
Mechanics, 94(8), 2217–2242. https://doi.org/10.1007/s00419-024-02634-1
bibtex: '@article{Gerlach_Schulte_Schowtjak_Clausmeyer_Ostwald_Tekkaya_Menzel_2024,
title={Enhancing damage prediction in bulk metal forming through machine learning-assisted
parameter identification}, volume={94}, DOI={10.1007/s00419-024-02634-1},
number={8}, journal={Archive of Applied Mechanics}, publisher={Springer Science
and Business Media LLC}, author={Gerlach, Jan and Schulte, Robin and Schowtjak,
Alexander and Clausmeyer, Till and Ostwald, Richard and Tekkaya, A. Erman and
Menzel, Andreas}, year={2024}, pages={2217–2242} }'
chicago: 'Gerlach, Jan, Robin Schulte, Alexander Schowtjak, Till Clausmeyer, Richard
Ostwald, A. Erman Tekkaya, and Andreas Menzel. “Enhancing Damage Prediction in
Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.”
Archive of Applied Mechanics 94, no. 8 (2024): 2217–42. https://doi.org/10.1007/s00419-024-02634-1.'
ieee: 'J. Gerlach et al., “Enhancing damage prediction in bulk metal forming
through machine learning-assisted parameter identification,” Archive of Applied
Mechanics, vol. 94, no. 8, pp. 2217–2242, 2024, doi: 10.1007/s00419-024-02634-1.'
mla: Gerlach, Jan, et al. “Enhancing Damage Prediction in Bulk Metal Forming through
Machine Learning-Assisted Parameter Identification.” Archive of Applied Mechanics,
vol. 94, no. 8, Springer Science and Business Media LLC, 2024, pp. 2217–42, doi:10.1007/s00419-024-02634-1.
short: J. Gerlach, R. Schulte, A. Schowtjak, T. Clausmeyer, R. Ostwald, A.E. Tekkaya,
A. Menzel, Archive of Applied Mechanics 94 (2024) 2217–2242.
date_created: 2025-12-03T12:46:31Z
date_updated: 2025-12-03T12:50:41Z
department:
- _id: '952'
- _id: '321'
doi: 10.1007/s00419-024-02634-1
intvolume: ' 94'
issue: '8'
language:
- iso: eng
page: 2217-2242
publication: Archive of Applied Mechanics
publication_identifier:
issn:
- 0939-1533
- 1432-0681
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Enhancing damage prediction in bulk metal forming through machine learning-assisted
parameter identification
type: journal_article
user_id: '85414'
volume: 94
year: '2024'
...
---
_id: '62768'
article_number: '110675'
author:
- first_name: Rasoul
full_name: Najafi Koopas, Rasoul
last_name: Najafi Koopas
- first_name: Shahed
full_name: Rezaei, Shahed
last_name: Rezaei
- first_name: Natalie
full_name: Rauter, Natalie
last_name: Rauter
- first_name: Richard
full_name: Ostwald, Richard
id: '106876'
last_name: Ostwald
orcid: 0000-0003-2147-8444
- first_name: Rolf
full_name: Lammering, Rolf
last_name: Lammering
citation:
ama: 'Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. A spatiotemporal
deep learning framework for prediction of crack dynamics in heterogeneous solids:
Efficient mapping of concrete microstructures to its fracture properties. Engineering
Fracture Mechanics. 2024;314. doi:10.1016/j.engfracmech.2024.110675'
apa: 'Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., & Lammering, R.
(2024). A spatiotemporal deep learning framework for prediction of crack dynamics
in heterogeneous solids: Efficient mapping of concrete microstructures to its
fracture properties. Engineering Fracture Mechanics, 314, Article
110675. https://doi.org/10.1016/j.engfracmech.2024.110675'
bibtex: '@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={A spatiotemporal
deep learning framework for prediction of crack dynamics in heterogeneous solids:
Efficient mapping of concrete microstructures to its fracture properties}, volume={314},
DOI={10.1016/j.engfracmech.2024.110675},
number={110675}, journal={Engineering Fracture Mechanics}, publisher={Elsevier
BV}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and
Ostwald, Richard and Lammering, Rolf}, year={2024} }'
chicago: 'Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald,
and Rolf Lammering. “A Spatiotemporal Deep Learning Framework for Prediction of
Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures
to Its Fracture Properties.” Engineering Fracture Mechanics 314 (2024).
https://doi.org/10.1016/j.engfracmech.2024.110675.'
ieee: 'R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “A
spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous
solids: Efficient mapping of concrete microstructures to its fracture properties,”
Engineering Fracture Mechanics, vol. 314, Art. no. 110675, 2024, doi: 10.1016/j.engfracmech.2024.110675.'
mla: 'Najafi Koopas, Rasoul, et al. “A Spatiotemporal Deep Learning Framework for
Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete
Microstructures to Its Fracture Properties.” Engineering Fracture Mechanics,
vol. 314, 110675, Elsevier BV, 2024, doi:10.1016/j.engfracmech.2024.110675.'
short: R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Engineering
Fracture Mechanics 314 (2024).
date_created: 2025-12-03T12:40:42Z
date_updated: 2025-12-03T12:51:12Z
department:
- _id: '952'
- _id: '321'
doi: 10.1016/j.engfracmech.2024.110675
intvolume: ' 314'
language:
- iso: eng
publication: Engineering Fracture Mechanics
publication_identifier:
issn:
- 0013-7944
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'A spatiotemporal deep learning framework for prediction of crack dynamics
in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture
properties'
type: journal_article
user_id: '85414'
volume: 314
year: '2024'
...
---
_id: '54589'
author:
- first_name: Katharina
full_name: Brennig, Katharina
id: '51905'
last_name: Brennig
- first_name: Bernd
full_name: Löhr, Bernd
id: '56760'
last_name: Löhr
orcid: 0000-0001-9581-4602
- first_name: Jonathan
full_name: Brock, Jonathan
last_name: Brock
- first_name: Malte Fabian
full_name: Reineke, Malte Fabian
id: '60641'
last_name: Reineke
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
citation:
ama: 'Brennig K, Löhr B, Brock J, Reineke MF, Bartelheimer C. Maximizing the Impact
of Process Mining Research: Four Strategic Guidelines. In: Americas Conference
on Information Systems (AMCIS). ; 2024.'
apa: 'Brennig, K., Löhr, B., Brock, J., Reineke, M. F., & Bartelheimer, C. (2024).
Maximizing the Impact of Process Mining Research: Four Strategic Guidelines. Americas
Conference on Information Systems (AMCIS). 30th Americas Conference on Information
Systems (AMCIS).'
bibtex: '@inproceedings{Brennig_Löhr_Brock_Reineke_Bartelheimer_2024, title={Maximizing
the Impact of Process Mining Research: Four Strategic Guidelines}, booktitle={Americas
Conference on Information Systems (AMCIS)}, author={Brennig, Katharina and Löhr,
Bernd and Brock, Jonathan and Reineke, Malte Fabian and Bartelheimer, Christian},
year={2024} }'
chicago: 'Brennig, Katharina, Bernd Löhr, Jonathan Brock, Malte Fabian Reineke,
and Christian Bartelheimer. “Maximizing the Impact of Process Mining Research:
Four Strategic Guidelines.” In Americas Conference on Information Systems (AMCIS),
2024.'
ieee: 'K. Brennig, B. Löhr, J. Brock, M. F. Reineke, and C. Bartelheimer, “Maximizing
the Impact of Process Mining Research: Four Strategic Guidelines,” presented at
the 30th Americas Conference on Information Systems (AMCIS), 2024.'
mla: 'Brennig, Katharina, et al. “Maximizing the Impact of Process Mining Research:
Four Strategic Guidelines.” Americas Conference on Information Systems (AMCIS),
2024.'
short: 'K. Brennig, B. Löhr, J. Brock, M.F. Reineke, C. Bartelheimer, in: Americas
Conference on Information Systems (AMCIS), 2024.'
conference:
name: 30th Americas Conference on Information Systems (AMCIS)
date_created: 2024-06-04T12:36:52Z
date_updated: 2025-12-03T14:12:14Z
department:
- _id: '195'
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/amcis2024/dsa/dsa/14/
publication: Americas Conference on Information Systems (AMCIS)
status: public
title: 'Maximizing the Impact of Process Mining Research: Four Strategic Guidelines'
type: conference
user_id: '56760'
year: '2024'
...
---
_id: '62796'
article_number: '11'
author:
- first_name: Malte Fabian
full_name: Reineke, Malte Fabian
id: '60641'
last_name: Reineke
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
citation:
ama: 'Reineke MF, Bartelheimer C. Assessing the impact of organizational culture
on workarounds: A maturity model. In: AMCIS 2024 TREOs. ; 2024.'
apa: 'Reineke, M. F., & Bartelheimer, C. (2024). Assessing the impact of organizational
culture on workarounds: A maturity model. AMCIS 2024 TREOs, Article 11.'
bibtex: '@inproceedings{Reineke_Bartelheimer_2024, title={Assessing the impact of
organizational culture on workarounds: A maturity model}, number={11}, booktitle={AMCIS
2024 TREOs}, author={Reineke, Malte Fabian and Bartelheimer, Christian}, year={2024}
}'
chicago: 'Reineke, Malte Fabian, and Christian Bartelheimer. “Assessing the Impact
of Organizational Culture on Workarounds: A Maturity Model.” In AMCIS 2024
TREOs, 2024.'
ieee: 'M. F. Reineke and C. Bartelheimer, “Assessing the impact of organizational
culture on workarounds: A maturity model,” Salt Lake City, Utah, USA, 2024.'
mla: 'Reineke, Malte Fabian, and Christian Bartelheimer. “Assessing the Impact of
Organizational Culture on Workarounds: A Maturity Model.” AMCIS 2024 TREOs,
11, 2024.'
short: 'M.F. Reineke, C. Bartelheimer, in: AMCIS 2024 TREOs, 2024.'
conference:
location: Salt Lake City, Utah, USA
date_created: 2025-12-03T14:07:18Z
date_updated: 2025-12-03T14:08:49Z
department:
- _id: '195'
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/treos_amcis2024/11/
publication: AMCIS 2024 TREOs
status: public
title: 'Assessing the impact of organizational culture on workarounds: A maturity
model'
type: conference
user_id: '60641'
year: '2024'
...
---
_id: '62670'
article_number: '118946'
author:
- first_name: Rémi F.
full_name: André, Rémi F.
last_name: André
- first_name: Jessica
full_name: Brandt, Jessica
last_name: Brandt
- first_name: Johannes
full_name: Schmidt, Johannes
last_name: Schmidt
- first_name: Nieves
full_name: López-Salas, Nieves
last_name: López-Salas
- first_name: Mateusz
full_name: Odziomek, Mateusz
last_name: Odziomek
- first_name: Markus
full_name: Antonietti, Markus
last_name: Antonietti
citation:
ama: 'André RF, Brandt J, Schmidt J, López-Salas N, Odziomek M, Antonietti M. Inductively
coupled plasma spectroscopy for heteroatom-doped carbonaceous materials: Limitations
and acid choice for digestion. Carbon. 2024;223. doi:10.1016/j.carbon.2024.118946'
apa: 'André, R. F., Brandt, J., Schmidt, J., López-Salas, N., Odziomek, M., &
Antonietti, M. (2024). Inductively coupled plasma spectroscopy for heteroatom-doped
carbonaceous materials: Limitations and acid choice for digestion. Carbon,
223, Article 118946. https://doi.org/10.1016/j.carbon.2024.118946'
bibtex: '@article{André_Brandt_Schmidt_López-Salas_Odziomek_Antonietti_2024, title={Inductively
coupled plasma spectroscopy for heteroatom-doped carbonaceous materials: Limitations
and acid choice for digestion}, volume={223}, DOI={10.1016/j.carbon.2024.118946},
number={118946}, journal={Carbon}, publisher={Elsevier BV}, author={André, Rémi
F. and Brandt, Jessica and Schmidt, Johannes and López-Salas, Nieves and Odziomek,
Mateusz and Antonietti, Markus}, year={2024} }'
chicago: 'André, Rémi F., Jessica Brandt, Johannes Schmidt, Nieves López-Salas,
Mateusz Odziomek, and Markus Antonietti. “Inductively Coupled Plasma Spectroscopy
for Heteroatom-Doped Carbonaceous Materials: Limitations and Acid Choice for Digestion.”
Carbon 223 (2024). https://doi.org/10.1016/j.carbon.2024.118946.'
ieee: 'R. F. André, J. Brandt, J. Schmidt, N. López-Salas, M. Odziomek, and M. Antonietti,
“Inductively coupled plasma spectroscopy for heteroatom-doped carbonaceous materials:
Limitations and acid choice for digestion,” Carbon, vol. 223, Art. no.
118946, 2024, doi: 10.1016/j.carbon.2024.118946.'
mla: 'André, Rémi F., et al. “Inductively Coupled Plasma Spectroscopy for Heteroatom-Doped
Carbonaceous Materials: Limitations and Acid Choice for Digestion.” Carbon,
vol. 223, 118946, Elsevier BV, 2024, doi:10.1016/j.carbon.2024.118946.'
short: R.F. André, J. Brandt, J. Schmidt, N. López-Salas, M. Odziomek, M. Antonietti,
Carbon 223 (2024).
date_created: 2025-11-27T13:15:58Z
date_updated: 2025-12-03T14:57:29Z
doi: 10.1016/j.carbon.2024.118946
intvolume: ' 223'
language:
- iso: eng
publication: Carbon
publication_identifier:
issn:
- 0008-6223
publication_status: published
publisher: Elsevier BV
status: public
title: 'Inductively coupled plasma spectroscopy for heteroatom-doped carbonaceous
materials: Limitations and acid choice for digestion'
type: journal_article
user_id: '98120'
volume: 223
year: '2024'
...
---
_id: '57767'
author:
- first_name: Pascal
full_name: Pollmeier, Pascal
id: '44191'
last_name: Pollmeier
- first_name: Dietlinde
full_name: Stroop, Dietlinde
last_name: Stroop
- first_name: Sabine
full_name: Fechner, Sabine
id: '54823'
last_name: Fechner
orcid: 0000-0001-5645-5870
citation:
ama: 'Pollmeier P, Stroop D, Fechner S. Digitale Messwerterfassung im Chemieunterricht.
In: Herzig B, Eickelmann B, Schwabl F, Schulze J, Niemann J, eds. Lehrkräftebildung
in der digitalen Welt - Zukunftsorientierte Forschungs- und Praxisperspektiven.
1st ed. Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung. Waxmann;
2024:53-64.'
apa: Pollmeier, P., Stroop, D., & Fechner, S. (2024). Digitale Messwerterfassung
im Chemieunterricht. In B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, &
J. Niemann (Eds.), Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte
Forschungs- und Praxisperspektiven (1st ed., pp. 53–64). Waxmann.
bibtex: '@inbook{Pollmeier_Stroop_Fechner_2024, edition={1}, series={Paderborner
Beiträge zur Bildungsforschung und Lehrkräftebildung}, title={Digitale Messwerterfassung
im Chemieunterricht}, booktitle={Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte
Forschungs- und Praxisperspektiven}, publisher={Waxmann}, author={Pollmeier, Pascal
and Stroop, Dietlinde and Fechner, Sabine}, editor={Herzig, Bardo and Eickelmann,
Birgit and Schwabl, Franszika and Schulze, Johanna and Niemann, Jan}, year={2024},
pages={53–64}, collection={Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung}
}'
chicago: Pollmeier, Pascal, Dietlinde Stroop, and Sabine Fechner. “Digitale Messwerterfassung
im Chemieunterricht.” In Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte
Forschungs- und Praxisperspektiven, edited by Bardo Herzig, Birgit Eickelmann,
Franszika Schwabl, Johanna Schulze, and Jan Niemann, 1st ed., 53–64. Paderborner
Beiträge zur Bildungsforschung und Lehrkräftebildung. Waxmann, 2024.
ieee: P. Pollmeier, D. Stroop, and S. Fechner, “Digitale Messwerterfassung im Chemieunterricht,”
in Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte Forschungs-
und Praxisperspektiven, 1st ed., B. Herzig, B. Eickelmann, F. Schwabl, J.
Schulze, and J. Niemann, Eds. Waxmann, 2024, pp. 53–64.
mla: Pollmeier, Pascal, et al. “Digitale Messwerterfassung im Chemieunterricht.”
Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte Forschungs- und
Praxisperspektiven, edited by Bardo Herzig et al., 1st ed., Waxmann, 2024,
pp. 53–64.
short: 'P. Pollmeier, D. Stroop, S. Fechner, in: B. Herzig, B. Eickelmann, F. Schwabl,
J. Schulze, J. Niemann (Eds.), Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte
Forschungs- und Praxisperspektiven, 1st ed., Waxmann, 2024, pp. 53–64.'
date_created: 2024-12-13T16:35:07Z
date_updated: 2025-12-03T18:00:35Z
department:
- _id: '386'
- _id: '33'
edition: '1'
editor:
- first_name: Bardo
full_name: Herzig, Bardo
last_name: Herzig
- first_name: Birgit
full_name: Eickelmann, Birgit
last_name: Eickelmann
- first_name: Franszika
full_name: Schwabl, Franszika
last_name: Schwabl
- first_name: Johanna
full_name: Schulze, Johanna
last_name: Schulze
- first_name: Jan
full_name: Niemann, Jan
last_name: Niemann
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.waxmann.com/shop/download?tx_p2waxmann_download%5Baction%5D=download&tx_p2waxmann_download%5Bbuchnr%5D=4837&tx_p2waxmann_download%5Bcontroller%5D=Zeitschrift&cHash=8a25fe58c1166ed639ec8ef14076a936
oa: '1'
page: 53-64
publication: Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte Forschungs-
und Praxisperspektiven
publication_status: published
publisher: Waxmann
series_title: Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung
status: public
title: Digitale Messwerterfassung im Chemieunterricht
type: book_chapter
user_id: '54823'
year: '2024'
...