---
_id: '59271'
abstract:
- lang: eng
text: Lithium niobate (LNO) and lithium tantalate (LTO) see widespread use in fundamental
research and commercial technologies reaching from electronics over classical
optics to integrated quantum communication. The mixed crystal system lithium niobate
tantalate (LNT) allows for the dedicate engineering of material properties by
combining the advantages of the two parental materials LNO and LTO. Vibrational
spectroscopies such as Raman spectroscopy or (Fourier transform) infrared (IR)
spectroscopy are vital techniques to provide detailed insight into the material
properties, which is central to the analysis and optimization of devices. This
work presents a joint experimental–theoretical approach allowing to unambiguously
assign the spectral features in the LNT material family through both Raman and
IR spectroscopy, as well as providing an in‐depth explanation for the observed
scattering efficiencies based on first‐principles calculations. The phononic contribution
to the static dielectric tensor is calculated from the experimental and theoretical
data using the generalized Lyddane–Sachs–Teller relation and compared with the
results of the first‐principles calculations.
author:
- first_name: Felix
full_name: Bernhardt, Felix
last_name: Bernhardt
- first_name: Soham
full_name: Gharat, Soham
last_name: Gharat
- first_name: Alexander
full_name: Kapp, Alexander
last_name: Kapp
- first_name: Florian
full_name: Pfeiffer, Florian
last_name: Pfeiffer
- first_name: Robin
full_name: Buschbeck, Robin
last_name: Buschbeck
- first_name: Franz
full_name: Hempel, Franz
last_name: Hempel
- first_name: Oleksiy
full_name: Pashkin, Oleksiy
last_name: Pashkin
- first_name: Susanne C.
full_name: Kehr, Susanne C.
last_name: Kehr
- first_name: Michael
full_name: Rüsing, Michael
id: '22501'
last_name: Rüsing
orcid: 0000-0003-4682-4577
- first_name: Simone
full_name: Sanna, Simone
last_name: Sanna
- first_name: Lukas M.
full_name: Eng, Lukas M.
last_name: Eng
citation:
ama: 'Bernhardt F, Gharat S, Kapp A, et al. Lattice Dynamics of LiNb(1–x)Ta(x)O3
Solid Solutions: Theory and Experiment. physica status solidi (a). 2024;222(1):2300968.
doi:10.1002/pssa.202300968'
apa: 'Bernhardt, F., Gharat, S., Kapp, A., Pfeiffer, F., Buschbeck, R., Hempel,
F., Pashkin, O., Kehr, S. C., Rüsing, M., Sanna, S., & Eng, L. M. (2024).
Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory and Experiment. Physica
Status Solidi (a), 222(1), 2300968. https://doi.org/10.1002/pssa.202300968'
bibtex: '@article{Bernhardt_Gharat_Kapp_Pfeiffer_Buschbeck_Hempel_Pashkin_Kehr_Rüsing_Sanna_et
al._2024, title={Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory
and Experiment}, volume={222}, DOI={10.1002/pssa.202300968},
number={1}, journal={physica status solidi (a)}, publisher={Wiley}, author={Bernhardt,
Felix and Gharat, Soham and Kapp, Alexander and Pfeiffer, Florian and Buschbeck,
Robin and Hempel, Franz and Pashkin, Oleksiy and Kehr, Susanne C. and Rüsing,
Michael and Sanna, Simone and et al.}, year={2024}, pages={2300968} }'
chicago: 'Bernhardt, Felix, Soham Gharat, Alexander Kapp, Florian Pfeiffer, Robin
Buschbeck, Franz Hempel, Oleksiy Pashkin, et al. “Lattice Dynamics of LiNb(1–x)Ta(x)O3
Solid Solutions: Theory and Experiment.” Physica Status Solidi (a) 222,
no. 1 (2024): 2300968. https://doi.org/10.1002/pssa.202300968.'
ieee: 'F. Bernhardt et al., “Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions:
Theory and Experiment,” physica status solidi (a), vol. 222, no. 1, p.
2300968, 2024, doi: 10.1002/pssa.202300968.'
mla: 'Bernhardt, Felix, et al. “Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions:
Theory and Experiment.” Physica Status Solidi (a), vol. 222, no. 1, Wiley,
2024, p. 2300968, doi:10.1002/pssa.202300968.'
short: F. Bernhardt, S. Gharat, A. Kapp, F. Pfeiffer, R. Buschbeck, F. Hempel, O.
Pashkin, S.C. Kehr, M. Rüsing, S. Sanna, L.M. Eng, Physica Status Solidi (a) 222
(2024) 2300968.
date_created: 2025-04-02T16:04:58Z
date_updated: 2025-04-02T16:07:19Z
department:
- _id: '15'
- _id: '623'
- _id: '288'
doi: 10.1002/pssa.202300968
intvolume: ' 222'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/pssa.202300968
oa: '1'
page: '2300968'
publication: physica status solidi (a)
publication_identifier:
issn:
- 1862-6300
- 1862-6319
publication_status: published
publisher: Wiley
status: public
title: 'Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory and Experiment'
type: journal_article
user_id: '22501'
volume: 222
year: '2024'
...
---
_id: '59273'
abstract:
- lang: eng
text: Ferroelectric domain walls (DWs) are promising structures for assembling future
nano-electronic circuit elements on a larger scale since reporting domain wall
currents of up to 1 mA per single DW. One key requirement hereto is their reproducible
manufacturing by gaining preparative control over domain size and domain wall
conductivity (DWC). To date, most works on DWC have focused on exploring the fundamental
electrical properties of individual DWs within single-shot experiments, with an
emphasis on quantifying the origins of DWC. Very few reports exist when it comes
to comparing the DWC properties between two separate DWs, and literally nothing
exists where issues of reproducibility in DWC devices have been addressed. To
fill this gap while facing the challenge of finding guidelines for achieving predictable
DWC performance, we report on a procedure that allows us to reproducibly prepare
single hexagonal domains of a predefined diameter into uniaxial ferroelectric
lithium niobate single crystals of 200 and 300 μm thickness, respectively. We
show that the domain diameter can be controlled with an uncertainty of a few percent.
As-grown DWs are then subjected to a standard procedure of current-limited high-voltage
DWC enhancement, and they repetitively reach a DWC increase of six orders of magnitude.
While all resulting DWs show significantly enhanced DWC values, their individual
current–voltage (I–V) characteristics exhibit different shapes, which can be explained
by variations in their 3D real structure reflecting local heterogeneities by defects,
DW pinning, and surface-near DW inclination.
article_type: original
author:
- first_name: Julius
full_name: Ratzenberger, Julius
last_name: Ratzenberger
- first_name: Iuliia
full_name: Kiseleva, Iuliia
last_name: Kiseleva
- first_name: Boris
full_name: Koppitz, Boris
last_name: Koppitz
- first_name: Elke
full_name: Beyreuther, Elke
last_name: Beyreuther
- first_name: Manuel
full_name: Zahn, Manuel
last_name: Zahn
- first_name: Joshua
full_name: Gössel, Joshua
last_name: Gössel
- first_name: Peter A.
full_name: Hegarty, Peter A.
last_name: Hegarty
- first_name: Zeeshan H.
full_name: Amber, Zeeshan H.
last_name: Amber
- first_name: Michael
full_name: Rüsing, Michael
id: '22501'
last_name: Rüsing
orcid: 0000-0003-4682-4577
- first_name: Lukas M.
full_name: Eng, Lukas M.
last_name: Eng
citation:
ama: Ratzenberger J, Kiseleva I, Koppitz B, et al. Toward the reproducible fabrication
of conductive ferroelectric domain walls into lithium niobate bulk single crystals.
Journal of Applied Physics. 2024;136(10):104302. doi:10.1063/5.0219300
apa: Ratzenberger, J., Kiseleva, I., Koppitz, B., Beyreuther, E., Zahn, M., Gössel,
J., Hegarty, P. A., Amber, Z. H., Rüsing, M., & Eng, L. M. (2024). Toward
the reproducible fabrication of conductive ferroelectric domain walls into lithium
niobate bulk single crystals. Journal of Applied Physics, 136(10),
104302. https://doi.org/10.1063/5.0219300
bibtex: '@article{Ratzenberger_Kiseleva_Koppitz_Beyreuther_Zahn_Gössel_Hegarty_Amber_Rüsing_Eng_2024,
title={Toward the reproducible fabrication of conductive ferroelectric domain
walls into lithium niobate bulk single crystals}, volume={136}, DOI={10.1063/5.0219300},
number={10}, journal={Journal of Applied Physics}, publisher={AIP Publishing},
author={Ratzenberger, Julius and Kiseleva, Iuliia and Koppitz, Boris and Beyreuther,
Elke and Zahn, Manuel and Gössel, Joshua and Hegarty, Peter A. and Amber, Zeeshan
H. and Rüsing, Michael and Eng, Lukas M.}, year={2024}, pages={104302} }'
chicago: 'Ratzenberger, Julius, Iuliia Kiseleva, Boris Koppitz, Elke Beyreuther,
Manuel Zahn, Joshua Gössel, Peter A. Hegarty, Zeeshan H. Amber, Michael Rüsing,
and Lukas M. Eng. “Toward the Reproducible Fabrication of Conductive Ferroelectric
Domain Walls into Lithium Niobate Bulk Single Crystals.” Journal of Applied
Physics 136, no. 10 (2024): 104302. https://doi.org/10.1063/5.0219300.'
ieee: 'J. Ratzenberger et al., “Toward the reproducible fabrication of conductive
ferroelectric domain walls into lithium niobate bulk single crystals,” Journal
of Applied Physics, vol. 136, no. 10, p. 104302, 2024, doi: 10.1063/5.0219300.'
mla: Ratzenberger, Julius, et al. “Toward the Reproducible Fabrication of Conductive
Ferroelectric Domain Walls into Lithium Niobate Bulk Single Crystals.” Journal
of Applied Physics, vol. 136, no. 10, AIP Publishing, 2024, p. 104302, doi:10.1063/5.0219300.
short: J. Ratzenberger, I. Kiseleva, B. Koppitz, E. Beyreuther, M. Zahn, J. Gössel,
P.A. Hegarty, Z.H. Amber, M. Rüsing, L.M. Eng, Journal of Applied Physics 136
(2024) 104302.
date_created: 2025-04-02T16:12:29Z
date_updated: 2025-04-02T16:14:31Z
department:
- _id: '288'
- _id: '15'
- _id: '623'
doi: 10.1063/5.0219300
intvolume: ' 136'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.1063/5.0219300'
oa: '1'
page: '104302'
publication: Journal of Applied Physics
publication_identifier:
issn:
- 0021-8979
- 1089-7550
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
status: public
title: Toward the reproducible fabrication of conductive ferroelectric domain walls
into lithium niobate bulk single crystals
type: journal_article
user_id: '22501'
volume: 136
year: '2024'
...
---
_id: '59283'
author:
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous
and Constrained Optimization Problems in Python. Evol Comput. 2024;32(3):211–216.
doi:10.1162/EVCO_A_00341'
apa: 'Prager, R. P., & Trautmann, H. (2024). Pflacco: Feature-Based Landscape
Analysis of Continuous and Constrained Optimization Problems in Python. Evol.
Comput., 32(3), 211–216. https://doi.org/10.1162/EVCO_A_00341'
bibtex: '@article{Prager_Trautmann_2024, title={Pflacco: Feature-Based Landscape
Analysis of Continuous and Constrained Optimization Problems in Python}, volume={32},
DOI={10.1162/EVCO_A_00341},
number={3}, journal={Evol. Comput.}, author={Prager, Raphael Patrick and Trautmann,
Heike}, year={2024}, pages={211–216} }'
chicago: 'Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based
Landscape Analysis of Continuous and Constrained Optimization Problems in Python.”
Evol. Comput. 32, no. 3 (2024): 211–216. https://doi.org/10.1162/EVCO_A_00341.'
ieee: 'R. P. Prager and H. Trautmann, “Pflacco: Feature-Based Landscape Analysis
of Continuous and Constrained Optimization Problems in Python,” Evol. Comput.,
vol. 32, no. 3, pp. 211–216, 2024, doi: 10.1162/EVCO_A_00341.'
mla: 'Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape
Analysis of Continuous and Constrained Optimization Problems in Python.” Evol.
Comput., vol. 32, no. 3, 2024, pp. 211–216, doi:10.1162/EVCO_A_00341.'
short: R.P. Prager, H. Trautmann, Evol. Comput. 32 (2024) 211–216.
date_created: 2025-04-03T05:56:07Z
date_updated: 2025-04-03T05:56:33Z
doi: 10.1162/EVCO_A_00341
intvolume: ' 32'
issue: '3'
language:
- iso: eng
page: 211–216
publication: Evol. Comput.
status: public
title: 'Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization
Problems in Python'
type: journal_article
user_id: '15504'
volume: 32
year: '2024'
...
---
_id: '54966'
abstract:
- lang: eng
text: Piezoresponse force microscopy (PFM) is one of the most widespread methods
for investigating and visualizing ferroelectric domain structures down to the
nanometer length scale. PFM makes use of the direct coupling of the piezoelectric
response to the crystal lattice, and hence, it is most often applied to spatially
map the three-dimensional (3D) near-surface domain distribution of any polar or
ferroic sample. Nonetheless, since most samples investigated by PFM are at least
semiconducting or fully insulating, the electric ac field emerging from the conductive
scanning force microscopy (SFM) tip penetrates the sample and, hence, may also
couple to polar features that are deeply buried into the bulk of the sample under
investigation. Thus, in the work presented here, we experimentally and theoretically
explore the contrast and depth resolution capabilities of PFM, by analyzing the
dependence of several key parameters. These key parameters include the depth of
the buried feature, i.e., here a domain wall (DW), as well as PFM-relevant technical
parameters such as the tip radius, the PFM drive voltage and frequency, and the
signal-to-noise ratio. The theoretical predictions are experimentally verified
using x-cut periodically poled lithium niobate single crystals that are specially
prepared into wedge-shaped samples, in order to allow the buried feature, here
the DW, to be “positioned” at any depth into the bulk. This inspection essentially
contributes to the fundamental understanding in PFM contrast analysis and to the
reconstruction of 3D domain structures down to a 1 μm-penetration depth into the
sample.
article_type: original
author:
- first_name: Matthias
full_name: Roeper, Matthias
last_name: Roeper
- first_name: Samuel D.
full_name: Seddon, Samuel D.
last_name: Seddon
- first_name: Zeeshan H.
full_name: Amber, Zeeshan H.
last_name: Amber
- first_name: Michael
full_name: Rüsing, Michael
id: '22501'
last_name: Rüsing
orcid: 0000-0003-4682-4577
- first_name: Lukas M.
full_name: Eng, Lukas M.
last_name: Eng
citation:
ama: Roeper M, Seddon SD, Amber ZH, Rüsing M, Eng LM. Depth resolution in piezoresponse
force microscopy. Journal of Applied Physics. 2024;135(22). doi:10.1063/5.0206784
apa: Roeper, M., Seddon, S. D., Amber, Z. H., Rüsing, M., & Eng, L. M. (2024).
Depth resolution in piezoresponse force microscopy. Journal of Applied Physics,
135(22). https://doi.org/10.1063/5.0206784
bibtex: '@article{Roeper_Seddon_Amber_Rüsing_Eng_2024, title={Depth resolution in
piezoresponse force microscopy}, volume={135}, DOI={10.1063/5.0206784},
number={22}, journal={Journal of Applied Physics}, publisher={AIP Publishing},
author={Roeper, Matthias and Seddon, Samuel D. and Amber, Zeeshan H. and Rüsing,
Michael and Eng, Lukas M.}, year={2024} }'
chicago: Roeper, Matthias, Samuel D. Seddon, Zeeshan H. Amber, Michael Rüsing, and
Lukas M. Eng. “Depth Resolution in Piezoresponse Force Microscopy.” Journal
of Applied Physics 135, no. 22 (2024). https://doi.org/10.1063/5.0206784.
ieee: 'M. Roeper, S. D. Seddon, Z. H. Amber, M. Rüsing, and L. M. Eng, “Depth resolution
in piezoresponse force microscopy,” Journal of Applied Physics, vol. 135,
no. 22, 2024, doi: 10.1063/5.0206784.'
mla: Roeper, Matthias, et al. “Depth Resolution in Piezoresponse Force Microscopy.”
Journal of Applied Physics, vol. 135, no. 22, AIP Publishing, 2024, doi:10.1063/5.0206784.
short: M. Roeper, S.D. Seddon, Z.H. Amber, M. Rüsing, L.M. Eng, Journal of Applied
Physics 135 (2024).
date_created: 2024-07-01T21:00:43Z
date_updated: 2025-04-03T12:35:34Z
department:
- _id: '15'
- _id: '169'
- _id: '288'
- _id: '623'
doi: 10.1063/5.0206784
intvolume: ' 135'
issue: '22'
keyword:
- Ferroelectrics
- lithium niobate
- piezoresponse force microscopy
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1063/5.0206784
oa: '1'
publication: Journal of Applied Physics
publication_identifier:
issn:
- 0021-8979
- 1089-7550
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
status: public
title: Depth resolution in piezoresponse force microscopy
type: journal_article
user_id: '22501'
volume: 135
year: '2024'
...
---
_id: '60413'
author:
- first_name: David
full_name: Bartlitz, David
id: '104560'
last_name: Bartlitz
orcid: '0000-0003-2967-8299 '
citation:
ama: Bartlitz D. Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung.
Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22. Zeitschrift
für Wirtschaftsrecht (ZIP). 2024;(12):616-617.
apa: Bartlitz, D. (2024). Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung.
Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22. Zeitschrift
für Wirtschaftsrecht (ZIP), 12, 616–617.
bibtex: '@article{Bartlitz_2024, title={Keine negativen Zinsen bei Berechnung der
Vorfälligkeitsentschädigung. Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 -
14 U 2764/22}, number={12}, journal={Zeitschrift für Wirtschaftsrecht (ZIP)},
author={Bartlitz, David}, year={2024}, pages={616–617} }'
chicago: 'Bartlitz, David. “Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung.
Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22.” Zeitschrift
für Wirtschaftsrecht (ZIP), no. 12 (2024): 616–17.'
ieee: D. Bartlitz, “Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung.
Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22,” Zeitschrift
für Wirtschaftsrecht (ZIP), no. 12, pp. 616–617, 2024.
mla: Bartlitz, David. “Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung.
Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22.” Zeitschrift
für Wirtschaftsrecht (ZIP), no. 12, 2024, pp. 616–17.
short: D. Bartlitz, Zeitschrift für Wirtschaftsrecht (ZIP) (2024) 616–617.
date_created: 2025-06-26T09:42:09Z
date_updated: 2025-06-26T09:43:51Z
department:
- _id: '845'
issue: '12'
language:
- iso: ger
main_file_link:
- url: https://www.juris.de/perma?d=jzs-ZIP-2024-12-004-616
page: 616-617
publication: Zeitschrift für Wirtschaftsrecht (ZIP)
publication_status: published
status: public
title: Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung. Anmerkung
zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22
type: journal_article
user_id: '95606'
year: '2024'
...
---
_id: '60418'
abstract:
- lang: eng
text: 'Das Themenheft präsentiert forschende und strategische Perspektiven auf eine
postdigitale Hochschullehre. Die COVID-19-Pandemie führte zu einer grundlegenden
Umgestaltung der Hochschullehre und wirkte als Katalysator für die Gestaltung
digital unterstützender Innovationen in der Hochschullehre. Unter dem Schlagwort
postdigiale Hochschullehre beschäftigten sich die vorliegenden Beiträge der dghd-Tagung
2022 mit diesem veränderten Lehren und Lernen. '
citation:
ama: Neiske I, Trier U, Osthushenrich J, Weber T, eds. Transformationen. Forschende
Und Strategische Perspektiven Auf Eine Postdigitale Hochschullehre. Vol 10.;
2024. doi:10.3278/HSLT2402W
apa: Transformationen. Forschende und strategische Perspektiven auf eine postdigitale
Hochschullehre. (2024). In I. Neiske, U. Trier, J. Osthushenrich, & T. Weber
(Eds.), die hochschullehre (Vol. 10). https://doi.org/10.3278/HSLT2402W
bibtex: '@book{Neiske_Trier_Osthushenrich_Weber_2024, title={Transformationen. Forschende
und strategische Perspektiven auf eine postdigitale Hochschullehre}, volume={10},
DOI={10.3278/HSLT2402W}, journal={die
hochschullehre}, year={2024} }'
chicago: Neiske, Iris, Ulrike Trier, Judith Osthushenrich, and Tassja Weber, eds.
Transformationen. Forschende Und Strategische Perspektiven Auf Eine Postdigitale
Hochschullehre. Die Hochschullehre. Vol. 10, 2024. https://doi.org/10.3278/HSLT2402W.
ieee: I. Neiske, U. Trier, J. Osthushenrich, and T. Weber, Eds., Transformationen.
Forschende und strategische Perspektiven auf eine postdigitale Hochschullehre,
vol. 10. 2024.
mla: Neiske, Iris, et al., editors. “Transformationen. Forschende Und Strategische
Perspektiven Auf Eine Postdigitale Hochschullehre.” Die Hochschullehre,
vol. 10, 2024, doi:10.3278/HSLT2402W.
short: I. Neiske, U. Trier, J. Osthushenrich, T. Weber, eds., Transformationen.
Forschende Und Strategische Perspektiven Auf Eine Postdigitale Hochschullehre,
2024.
conference:
name: ' 22. Jahrestagung der Deutschen Gesellschaft für Hochschuldidaktik'
date_created: 2025-06-26T10:47:32Z
date_updated: 2025-06-26T10:55:38Z
doi: 10.3278/HSLT2402W
editor:
- first_name: Iris
full_name: Neiske, Iris
id: '53827'
last_name: Neiske
- first_name: Ulrike
full_name: Trier, Ulrike
id: '82117'
last_name: Trier
- first_name: Judith
full_name: Osthushenrich, Judith
id: '12360'
last_name: Osthushenrich
- first_name: Tassja
full_name: Weber, Tassja
id: '89571'
last_name: Weber
intvolume: ' 10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.wbv.de/shop/Transformationen.-Forschende-und-strategische-Perspektiven-auf-eine-postdigitale-Hochschullehre-HSLT2402W
oa: '1'
publication: die hochschullehre
status: public
title: Transformationen. Forschende und strategische Perspektiven auf eine postdigitale
Hochschullehre
type: journal_editor
user_id: '12360'
volume: 10
year: '2024'
...
---
_id: '60314'
abstract:
- lang: eng
text: A method for the construction of bijective volumetric maps between
3D shapes is presented. Arbitrary shapes of ball-topology are supported, overcoming
restrictions of previous methods to convex or star-shaped targets. In essence,
the mapping problem is decomposed into a set of simpler mapping problems, each
of which can be solved with previous methods for discrete star-shaped mapping
problems. Addressing the key challenges in this endeavor, algorithms are described
to reliably construct structurally compatible partitions of two shapes with constraints
regarding star-shapedness and to compute a parsimonious common refinement of two
triangulations.
author:
- first_name: Steffen
full_name: Hinderink, Steffen
id: '116615'
last_name: Hinderink
- first_name: Hendrik
full_name: Brückler, Hendrik
id: '115694'
last_name: Brückler
- first_name: Marcel
full_name: Campen, Marcel
id: '114904'
last_name: Campen
orcid: 0000-0003-2340-3462
citation:
ama: Hinderink S, Brückler H, Campen M. Bijective Volumetric Mapping via Star Decomposition.
ACM Transactions on Graphics. 2024;43(6):1-11. doi:10.1145/3687950
apa: Hinderink, S., Brückler, H., & Campen, M. (2024). Bijective Volumetric
Mapping via Star Decomposition. ACM Transactions on Graphics, 43(6),
1–11. https://doi.org/10.1145/3687950
bibtex: '@article{Hinderink_Brückler_Campen_2024, title={Bijective Volumetric Mapping
via Star Decomposition}, volume={43}, DOI={10.1145/3687950},
number={6}, journal={ACM Transactions on Graphics}, publisher={Association for
Computing Machinery (ACM)}, author={Hinderink, Steffen and Brückler, Hendrik and
Campen, Marcel}, year={2024}, pages={1–11} }'
chicago: 'Hinderink, Steffen, Hendrik Brückler, and Marcel Campen. “Bijective Volumetric
Mapping via Star Decomposition.” ACM Transactions on Graphics 43, no. 6
(2024): 1–11. https://doi.org/10.1145/3687950.'
ieee: 'S. Hinderink, H. Brückler, and M. Campen, “Bijective Volumetric Mapping via
Star Decomposition,” ACM Transactions on Graphics, vol. 43, no. 6, pp.
1–11, 2024, doi: 10.1145/3687950.'
mla: Hinderink, Steffen, et al. “Bijective Volumetric Mapping via Star Decomposition.”
ACM Transactions on Graphics, vol. 43, no. 6, Association for Computing
Machinery (ACM), 2024, pp. 1–11, doi:10.1145/3687950.
short: S. Hinderink, H. Brückler, M. Campen, ACM Transactions on Graphics 43 (2024)
1–11.
date_created: 2025-06-23T09:09:51Z
date_updated: 2025-07-14T12:33:54Z
department:
- _id: '969'
doi: 10.1145/3687950
extern: '1'
intvolume: ' 43'
issue: '6'
language:
- iso: eng
page: 1-11
publication: ACM Transactions on Graphics
publication_identifier:
issn:
- 0730-0301
- 1557-7368
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: Bijective Volumetric Mapping via Star Decomposition
type: journal_article
user_id: '117512'
volume: 43
year: '2024'
...
---
_id: '52346'
abstract:
- lang: eng
text: Promising cathode materials for fluoride-ion batteries (FIBs) are 3d transition
metal containing oxides with Ruddlesden-Popper-type structure. So far, multi-elemental
compositions were not investigated, but could alternate electrochemical performance
similar to what has been found for cathode materials for lithium-ion batteries.
Within this study, we investigate RP type La2Ni0.75Co0.25O4.08 as an intercalation-based
active cathode material for all-solid-state FIBs. We determine the structural
changes of La2Ni0.75Co0.25O4.08 during fluoride intercalation / de-intercalation
by ex-situ X-ray diffraction, which showed that F- insertion leads to transformation
of the parent phase to three different phases. Changes in Ni and Co oxidation
states and coordination environment were examined by X-ray absorption spectroscopy
and magnetic measurements in order to understand the complex reaction behaviour
of the phases in detail, showing that the two transition metals behave differently
in the charging and discharging process. Under optimized operating conditions,
a cycle life of 120 cycles at a critical cut-off capacity of 40 mAh g-1 against
Pb/PbF2 was obtained, which is one of the highest observed for intercalation electrode
materials in FIBs so far. The average Coulombic efficiencies ranged from 85% to
90%. Thus, La2Ni0.75Co0.25O4.08 could be a promising candidate for cycling-stable
high-energy cathode materials for all-solid-state FIBs
author:
- first_name: Vanita
full_name: Vanita, Vanita
last_name: Vanita
- first_name: Aamir Iqbal
full_name: Waidha, Aamir Iqbal
last_name: Waidha
- first_name: Sami
full_name: Vasala, Sami
last_name: Vasala
- first_name: Pascal
full_name: Puphal, Pascal
last_name: Puphal
- first_name: Roland
full_name: Schoch, Roland
id: '48467'
last_name: Schoch
orcid: 0000-0003-2061-7289
- first_name: Pieter
full_name: Glatzel, Pieter
last_name: Glatzel
- first_name: Matthias
full_name: Bauer, Matthias
id: '47241'
last_name: Bauer
orcid: 0000-0002-9294-6076
- first_name: Oliver
full_name: Clemens, Oliver
last_name: Clemens
citation:
ama: Vanita V, Waidha AI, Vasala S, et al. Insights into the First Multi-Transition-Metal
Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries.
Journal of Materials Chemistry A. 2024;(12). doi:10.1039/d4ta00704b
apa: Vanita, V., Waidha, A. I., Vasala, S., Puphal, P., Schoch, R., Glatzel, P.,
Bauer, M., & Clemens, O. (2024). Insights into the First Multi-Transition-Metal
Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries.
Journal of Materials Chemistry A, 12. https://doi.org/10.1039/d4ta00704b
bibtex: '@article{Vanita_Waidha_Vasala_Puphal_Schoch_Glatzel_Bauer_Clemens_2024,
title={Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type
Cathode for all-solid-state Fluoride Ion Batteries}, DOI={10.1039/d4ta00704b},
number={12}, journal={Journal of Materials Chemistry A}, publisher={Royal Society
of Chemistry (RSC)}, author={Vanita, Vanita and Waidha, Aamir Iqbal and Vasala,
Sami and Puphal, Pascal and Schoch, Roland and Glatzel, Pieter and Bauer, Matthias
and Clemens, Oliver}, year={2024} }'
chicago: Vanita, Vanita, Aamir Iqbal Waidha, Sami Vasala, Pascal Puphal, Roland
Schoch, Pieter Glatzel, Matthias Bauer, and Oliver Clemens. “Insights into the
First Multi-Transition-Metal Containing Ruddlesden Popper-Type Cathode for All-Solid-State
Fluoride Ion Batteries.” Journal of Materials Chemistry A, no. 12 (2024).
https://doi.org/10.1039/d4ta00704b.
ieee: 'V. Vanita et al., “Insights into the First Multi-Transition-Metal
Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries,”
Journal of Materials Chemistry A, no. 12, 2024, doi: 10.1039/d4ta00704b.'
mla: Vanita, Vanita, et al. “Insights into the First Multi-Transition-Metal Containing
Ruddlesden Popper-Type Cathode for All-Solid-State Fluoride Ion Batteries.” Journal
of Materials Chemistry A, no. 12, Royal Society of Chemistry (RSC), 2024,
doi:10.1039/d4ta00704b.
short: V. Vanita, A.I. Waidha, S. Vasala, P. Puphal, R. Schoch, P. Glatzel, M. Bauer,
O. Clemens, Journal of Materials Chemistry A (2024).
date_created: 2024-03-07T10:01:09Z
date_updated: 2025-08-15T12:50:31Z
department:
- _id: '306'
doi: 10.1039/d4ta00704b
issue: '12'
keyword:
- Xray
language:
- iso: eng
publication: Journal of Materials Chemistry A
publication_identifier:
issn:
- 2050-7488
- 2050-7496
publication_status: published
publisher: Royal Society of Chemistry (RSC)
status: public
title: Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type
Cathode for all-solid-state Fluoride Ion Batteries
type: journal_article
user_id: '48467'
year: '2024'
...
---
_id: '57699'
abstract:
- lang: eng
text: The optimization of process parameters in powder Directed Energy Deposition
(DED) is essential for achieving consistent, high-quality bead geometries, which
directly influence the performance and structural integrity of fabricated components.
As a subset of additive manufacturing (AM), the DED process, also referred to
as laser metal deposition (LMD), enables precise, layer-by-layer material deposition,
making it highly suitable for complex geometries and part repair applications.
Critical parameters, such as the laser power, feed rate, powder mass flow, and
substrate temperature govern the deposition process, impacting the bead height,
width, contact angle, and dilution. Inconsistent control over these variables
can lead to defects, such as poor bonding, dimensional inaccuracies, and material
weaknesses, ultimately compromising the final product. This paper investigates
the effects of various process parameters, specifically the substrate temperature,
on bead track geometry in DED processes for stainless steel (1.4404). A specialized
experimental setup, integrated within a DED machine, facilitates the controlled
thermal conditioning of sample sheets. Using Design of Experiments (DoE) methods,
individual bead marks are generated and analyzed to assess geometric characteristics.
Regression models, including both linear and quadratic approaches, are constructed
to predict machine parameters for achieving the desired bead geometry at different
substrate temperatures. Validation experiments confirm the accuracy and reliability
of the models, particularly in predicting the bead height, bead width, and contact
angle across a broad range of substrate temperatures. However, the models demonstrated
limitations in accurately predicting dilution, indicating the need for further
refinement. Despite some deviations in measured values, successful fabrication
is achieved, demonstrating robust bonding between the bead and substrate. The
developed models offer insights into optimizing DED process parameters to achieve
desired bead characteristics, advancing the precision and reliability of additive
manufacturing technology. Future work will focus on refining the regression models
to improve predictions, particularly for dilution, and further investigate non-linear
interactions between process variables.
article_number: '1353'
article_type: original
author:
- first_name: Deviprasad
full_name: Chalicheemalapalli Jayasankar, Deviprasad
id: '49504'
last_name: Chalicheemalapalli Jayasankar
orcid: https://orcid.org/ 0000-0002-3446-2444
- first_name: Stefan
full_name: Gnaase, Stefan
id: '25730'
last_name: Gnaase
- first_name: Dennis
full_name: Lehnert, Dennis
id: '90491'
last_name: Lehnert
- first_name: Artur
full_name: Walter, Artur
last_name: Walter
- first_name: Robin
full_name: Rohling, Robin
last_name: Rohling
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: 'Chalicheemalapalli Jayasankar D, Gnaase S, Lehnert D, Walter A, Rohling R,
Tröster T. Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed
Energy Deposition: Investigation and Regression Modeling. Metals. 2024;14(12).
doi:10.3390/met14121353'
apa: 'Chalicheemalapalli Jayasankar, D., Gnaase, S., Lehnert, D., Walter, A., Rohling,
R., & Tröster, T. (2024). Effect of Substrate Temperature on Bead Track Geometry
of 316L in Directed Energy Deposition: Investigation and Regression Modeling.
Metals, 14(12), Article 1353. https://doi.org/10.3390/met14121353'
bibtex: '@article{Chalicheemalapalli Jayasankar_Gnaase_Lehnert_Walter_Rohling_Tröster_2024,
title={Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed
Energy Deposition: Investigation and Regression Modeling}, volume={14}, DOI={10.3390/met14121353}, number={121353},
journal={Metals}, publisher={MDPI AG}, author={Chalicheemalapalli Jayasankar,
Deviprasad and Gnaase, Stefan and Lehnert, Dennis and Walter, Artur and Rohling,
Robin and Tröster, Thomas}, year={2024} }'
chicago: 'Chalicheemalapalli Jayasankar, Deviprasad, Stefan Gnaase, Dennis Lehnert,
Artur Walter, Robin Rohling, and Thomas Tröster. “Effect of Substrate Temperature
on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and
Regression Modeling.” Metals 14, no. 12 (2024). https://doi.org/10.3390/met14121353.'
ieee: 'D. Chalicheemalapalli Jayasankar, S. Gnaase, D. Lehnert, A. Walter, R. Rohling,
and T. Tröster, “Effect of Substrate Temperature on Bead Track Geometry of 316L
in Directed Energy Deposition: Investigation and Regression Modeling,” Metals,
vol. 14, no. 12, Art. no. 1353, 2024, doi: 10.3390/met14121353.'
mla: 'Chalicheemalapalli Jayasankar, Deviprasad, et al. “Effect of Substrate Temperature
on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and
Regression Modeling.” Metals, vol. 14, no. 12, 1353, MDPI AG, 2024, doi:10.3390/met14121353.'
short: D. Chalicheemalapalli Jayasankar, S. Gnaase, D. Lehnert, A. Walter, R. Rohling,
T. Tröster, Metals 14 (2024).
date_created: 2024-12-10T12:13:23Z
date_updated: 2026-03-20T08:44:28Z
ddc:
- '670'
department:
- _id: '321'
- _id: '149'
- _id: '9'
doi: 10.3390/met14121353
has_accepted_license: '1'
intvolume: ' 14'
issue: '12'
keyword:
- additive manufacturing
- direct energy deposition
- laser metal deposition
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2075-4701/14/12/1353
oa: '1'
publication: Metals
publication_identifier:
issn:
- 2075-4701
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: 'Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed
Energy Deposition: Investigation and Regression Modeling'
type: journal_article
user_id: '49504'
volume: 14
year: '2024'
...
---
_id: '56089'
abstract:
- lang: eng
text: Additive manufacturing (AM) technologies enable near-net-shape designs
and demand-oriented material usage, which significantly minimizes waste. This
points to a substantial opportunity for further optimization in material savings
and process design. The current study delves into the advancement of sustainable
manufacturing practices in the automotive industry, emphasizing the crucial role
of lightweight construction concepts and AM technologies in enhancing resource
efficiency and reducing greenhouse gas emissions. By exploring the integration
of novel AM techniques such as selective laser melting (SLM) and laser metal deposition
(LMD), the study aims to overcome existing limitations like slow build-up rates
and limited component resolution. The study’s core objective revolves around the
development and validation of a continuous process chain that synergizes different
AM routes. In the current study, the continuous process chain for DMG MORI Lasertec
65 3D’s LMD system and the DMG MORI Lasertec 30 3D’s was demonstrated using 316L
and 1.2709 steel materials. This integrated approach is designed to significantly
curtail process times and minimize component costs, thus suggesting an industry-oriented
process chain for future manufacturing paradigms. Additionally, the research investigates
the production and material behavior of components under varying manufacturing
processes, material combinations, and boundary layer materials. The culmination
of this study is the validation of the proposed process route through a technology
demonstrator, assessing its scalability and setting a benchmark for resource-efficient
manufacturing in the automotive sector.
article_number: '772'
article_type: original
author:
- first_name: Deviprasad
full_name: Chalicheemalapalli Jayasankar, Deviprasad
id: '49504'
last_name: Chalicheemalapalli Jayasankar
orcid: https://orcid.org/ 0000-0002-3446-2444
- first_name: Stefan
full_name: Gnaase, Stefan
id: '25730'
last_name: Gnaase
- first_name: Maximilian Alexander
full_name: Kaiser, Maximilian Alexander
id: '72351'
last_name: Kaiser
orcid: 0009-0008-1333-3396
- first_name: Dennis
full_name: Lehnert, Dennis
id: '90491'
last_name: Lehnert
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: 'Chalicheemalapalli Jayasankar D, Gnaase S, Kaiser MA, Lehnert D, Tröster T.
Advancements in Hybrid Additive Manufacturing: Integrating SLM and LMD for High-Performance
Applications. Metals. 2024;14(7). doi:10.3390/met14070772'
apa: 'Chalicheemalapalli Jayasankar, D., Gnaase, S., Kaiser, M. A., Lehnert, D.,
& Tröster, T. (2024). Advancements in Hybrid Additive Manufacturing: Integrating
SLM and LMD for High-Performance Applications. Metals, 14(7), Article
772. https://doi.org/10.3390/met14070772'
bibtex: '@article{Chalicheemalapalli Jayasankar_Gnaase_Kaiser_Lehnert_Tröster_2024,
title={Advancements in Hybrid Additive Manufacturing: Integrating SLM and LMD
for High-Performance Applications}, volume={14}, DOI={10.3390/met14070772},
number={7772}, journal={Metals}, publisher={MDPI AG}, author={Chalicheemalapalli
Jayasankar, Deviprasad and Gnaase, Stefan and Kaiser, Maximilian Alexander and
Lehnert, Dennis and Tröster, Thomas}, year={2024} }'
chicago: 'Chalicheemalapalli Jayasankar, Deviprasad, Stefan Gnaase, Maximilian Alexander
Kaiser, Dennis Lehnert, and Thomas Tröster. “Advancements in Hybrid Additive Manufacturing:
Integrating SLM and LMD for High-Performance Applications.” Metals 14,
no. 7 (2024). https://doi.org/10.3390/met14070772.'
ieee: 'D. Chalicheemalapalli Jayasankar, S. Gnaase, M. A. Kaiser, D. Lehnert, and
T. Tröster, “Advancements in Hybrid Additive Manufacturing: Integrating SLM and
LMD for High-Performance Applications,” Metals, vol. 14, no. 7, Art. no.
772, 2024, doi: 10.3390/met14070772.'
mla: 'Chalicheemalapalli Jayasankar, Deviprasad, et al. “Advancements in Hybrid
Additive Manufacturing: Integrating SLM and LMD for High-Performance Applications.”
Metals, vol. 14, no. 7, 772, MDPI AG, 2024, doi:10.3390/met14070772.'
short: D. Chalicheemalapalli Jayasankar, S. Gnaase, M.A. Kaiser, D. Lehnert, T.
Tröster, Metals 14 (2024).
date_created: 2024-09-10T10:19:32Z
date_updated: 2026-03-20T08:44:23Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
doi: 10.3390/met14070772
intvolume: ' 14'
issue: '7'
keyword:
- additive manufacturing (AM)
- selective laser melting (SLM)
- laser metal deposition (LMD)
- hybrid manufacturing
- process optimization
- 316L
- '1.2709'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2075-4701/14/7/772
oa: '1'
publication: Metals
publication_identifier:
issn:
- 2075-4701
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: 'Advancements in Hybrid Additive Manufacturing: Integrating SLM and LMD for
High-Performance Applications'
type: journal_article
user_id: '49504'
volume: 14
year: '2024'
...
---
_id: '65592'
author:
- first_name: Karina
full_name: Pauls, Karina
id: '78235'
last_name: Pauls
- first_name: Thomas
full_name: Musehold, Thomas
last_name: Musehold
citation:
ama: 'Pauls K, Musehold T. 3D-Druck in Kunst und Lehre - Thomas Musehold und Karina
Pauls im Gespräch. In: Pauls K, ed. Schnittstelle Kunstunterricht: Skulptur
- Material - Prozess. ; 2024.'
apa: 'Pauls, K., & Musehold, T. (2024). 3D-Druck in Kunst und Lehre - Thomas
Musehold und Karina Pauls im Gespräch. In K. Pauls (Ed.), Schnittstelle Kunstunterricht:
Skulptur - Material - Prozess.'
bibtex: '@inbook{Pauls_Musehold_2024, title={3D-Druck in Kunst und Lehre - Thomas
Musehold und Karina Pauls im Gespräch}, booktitle={Schnittstelle Kunstunterricht:
Skulptur - Material - Prozess}, author={Pauls, Karina and Musehold, Thomas}, editor={Pauls,
Karina}, year={2024} }'
chicago: 'Pauls, Karina, and Thomas Musehold. “3D-Druck in Kunst und Lehre - Thomas
Musehold und Karina Pauls im Gespräch.” In Schnittstelle Kunstunterricht: Skulptur
- Material - Prozess, edited by Karina Pauls, 2024.'
ieee: 'K. Pauls and T. Musehold, “3D-Druck in Kunst und Lehre - Thomas Musehold
und Karina Pauls im Gespräch,” in Schnittstelle Kunstunterricht: Skulptur -
Material - Prozess, K. Pauls, Ed. 2024.'
mla: 'Pauls, Karina, and Thomas Musehold. “3D-Druck in Kunst und Lehre - Thomas
Musehold und Karina Pauls im Gespräch.” Schnittstelle Kunstunterricht: Skulptur
- Material - Prozess, edited by Karina Pauls, 2024.'
short: 'K. Pauls, T. Musehold, in: K. Pauls (Ed.), Schnittstelle Kunstunterricht:
Skulptur - Material - Prozess, 2024.'
date_created: 2026-05-08T12:57:17Z
date_updated: 2026-05-08T12:57:33Z
editor:
- first_name: Karina
full_name: Pauls, Karina
last_name: Pauls
language:
- iso: ger
publication: 'Schnittstelle Kunstunterricht: Skulptur - Material - Prozess'
publication_identifier:
isbn:
- '9783763977253'
publication_status: published
status: public
title: 3D-Druck in Kunst und Lehre - Thomas Musehold und Karina Pauls im Gespräch
type: book_chapter
user_id: '78235'
year: '2024'
...
---
_id: '59585'
abstract:
- lang: eng
text: Similar to bulk metal forming, clinch joining is characterised by large plastic
deformations and a variety of different 3D stress states, including severe compression.
However, inherent to plastic forming is the nucleation and growth of defects,
whose detrimental effects on the material behaviour can be described by continuum
damage models and eventually lead to material failure. As the damage evolution
strongly depends on the stress state, a stress-state-dependent model is utilised
to correctly track the accumulation. To formulate and parameterise this model,
besides classical experiments, so-called modified punch tests are also integrated
herein to enhance the calibration of the failure model by capturing a larger range
of stress states and metal-forming-specific loading conditions. Moreover, when
highly ductile materials are considered, such as the dual-phase steel HCT590X
and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation
might occur prior to fracture. This can alter the stress state and affect the
actual strain at failure. This influence is captured by coupling plasticity and
damage to incorporate the damage-induced softening effect. Its relative importance
is shown by conducting inverse parameter identifications to determine damage and
failure parameters for both mentioned ductile metals based on up to 12 different
experiments.
article_number: '157'
author:
- first_name: Johannes
full_name: Friedlein, Johannes
last_name: Friedlein
- first_name: Max
full_name: Böhnke, Max
id: '45779'
last_name: Böhnke
- first_name: Malte Christian
full_name: Schlichter, Malte Christian
id: '61977'
last_name: Schlichter
- first_name: Mathias
full_name: Bobbert, Mathias
id: '7850'
last_name: Bobbert
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
- first_name: Julia
full_name: Mergheim, Julia
last_name: Mergheim
- first_name: Paul
full_name: Steinmann, Paul
last_name: Steinmann
citation:
ama: Friedlein J, Böhnke M, Schlichter MC, et al. Material Parameter Identification
for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch
Joining. Journal of Manufacturing and Materials Processing. 2024;8(4).
doi:10.3390/jmmp8040157
apa: Friedlein, J., Böhnke, M., Schlichter, M. C., Bobbert, M., Meschut, G., Mergheim,
J., & Steinmann, P. (2024). Material Parameter Identification for a Stress-State-Dependent
Ductile Damage and Failure Model Applied to Clinch Joining. Journal of Manufacturing
and Materials Processing, 8(4), Article 157. https://doi.org/10.3390/jmmp8040157
bibtex: '@article{Friedlein_Böhnke_Schlichter_Bobbert_Meschut_Mergheim_Steinmann_2024,
title={Material Parameter Identification for a Stress-State-Dependent Ductile
Damage and Failure Model Applied to Clinch Joining}, volume={8}, DOI={10.3390/jmmp8040157},
number={4157}, journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI
AG}, author={Friedlein, Johannes and Böhnke, Max and Schlichter, Malte Christian
and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul},
year={2024} }'
chicago: Friedlein, Johannes, Max Böhnke, Malte Christian Schlichter, Mathias Bobbert,
Gerson Meschut, Julia Mergheim, and Paul Steinmann. “Material Parameter Identification
for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch
Joining.” Journal of Manufacturing and Materials Processing 8, no. 4 (2024).
https://doi.org/10.3390/jmmp8040157.
ieee: 'J. Friedlein et al., “Material Parameter Identification for a Stress-State-Dependent
Ductile Damage and Failure Model Applied to Clinch Joining,” Journal of Manufacturing
and Materials Processing, vol. 8, no. 4, Art. no. 157, 2024, doi: 10.3390/jmmp8040157.'
mla: Friedlein, Johannes, et al. “Material Parameter Identification for a Stress-State-Dependent
Ductile Damage and Failure Model Applied to Clinch Joining.” Journal of Manufacturing
and Materials Processing, vol. 8, no. 4, 157, MDPI AG, 2024, doi:10.3390/jmmp8040157.
short: J. Friedlein, M. Böhnke, M.C. Schlichter, M. Bobbert, G. Meschut, J. Mergheim,
P. Steinmann, Journal of Manufacturing and Materials Processing 8 (2024).
date_created: 2025-04-15T11:07:52Z
date_updated: 2026-05-13T13:53:29Z
department:
- _id: '157'
doi: 10.3390/jmmp8040157
intvolume: ' 8'
issue: '4'
language:
- iso: eng
project:
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '135'
name: 'TRR 285 – A01: TRR 285 - Subproject A01'
- _id: '130'
name: 'TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen
Prozessketten'
publication: Journal of Manufacturing and Materials Processing
publication_identifier:
issn:
- 2504-4494
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Material Parameter Identification for a Stress-State-Dependent Ductile Damage
and Failure Model Applied to Clinch Joining
type: journal_article
user_id: '61977'
volume: 8
year: '2024'
...
---
_id: '66172'
author:
- first_name: Jannik
full_name: Malcher, Jannik
last_name: Malcher
- first_name: Daniel
full_name: Biebert, Daniel
last_name: Biebert
- first_name: Kuan-Hsun
full_name: Chen, Kuan-Hsun
last_name: Chen
- first_name: Sebastian
full_name: Buschjäger, Sebastian
last_name: Buschjäger
- first_name: Christian
full_name: Hakert, Christian
last_name: Hakert
- first_name: Jian-Jia
full_name: Chen, Jian-Jia
last_name: Chen
citation:
ama: 'Malcher J, Biebert D, Chen K-H, Buschjäger S, Hakert C, Chen J-J. Language-Based
Deployment Optimization for Random Forests (Invited Paper). In: Proceedings
of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers,
and Tools for Embedded Systems. ACM; 2024. doi:10.1145/3652032.3659366'
apa: Malcher, J., Biebert, D., Chen, K.-H., Buschjäger, S., Hakert, C., & Chen,
J.-J. (2024). Language-Based Deployment Optimization for Random Forests (Invited
Paper). Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference
on Languages, Compilers, and Tools for Embedded Systems. https://doi.org/10.1145/3652032.3659366
bibtex: '@inproceedings{Malcher_Biebert_Chen_Buschjäger_Hakert_Chen_2024, title={Language-Based
Deployment Optimization for Random Forests (Invited Paper)}, DOI={10.1145/3652032.3659366},
booktitle={Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference
on Languages, Compilers, and Tools for Embedded Systems}, publisher={ACM}, author={Malcher,
Jannik and Biebert, Daniel and Chen, Kuan-Hsun and Buschjäger, Sebastian and Hakert,
Christian and Chen, Jian-Jia}, year={2024} }'
chicago: Malcher, Jannik, Daniel Biebert, Kuan-Hsun Chen, Sebastian Buschjäger,
Christian Hakert, and Jian-Jia Chen. “Language-Based Deployment Optimization for
Random Forests (Invited Paper).” In Proceedings of the 25th ACM SIGPLAN/SIGBED
International Conference on Languages, Compilers, and Tools for Embedded Systems.
ACM, 2024. https://doi.org/10.1145/3652032.3659366.
ieee: 'J. Malcher, D. Biebert, K.-H. Chen, S. Buschjäger, C. Hakert, and J.-J. Chen,
“Language-Based Deployment Optimization for Random Forests (Invited Paper),” 2024,
doi: 10.1145/3652032.3659366.'
mla: Malcher, Jannik, et al. “Language-Based Deployment Optimization for Random
Forests (Invited Paper).” Proceedings of the 25th ACM SIGPLAN/SIGBED International
Conference on Languages, Compilers, and Tools for Embedded Systems, ACM, 2024,
doi:10.1145/3652032.3659366.
short: 'J. Malcher, D. Biebert, K.-H. Chen, S. Buschjäger, C. Hakert, J.-J. Chen,
in: Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages,
Compilers, and Tools for Embedded Systems, ACM, 2024.'
date_created: 2026-07-03T21:12:22Z
date_updated: 2026-07-05T14:48:11Z
doi: 10.1145/3652032.3659366
publication: Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on
Languages, Compilers, and Tools for Embedded Systems
publication_status: published
publisher: ACM
status: public
title: Language-Based Deployment Optimization for Random Forests (Invited Paper)
type: conference
user_id: '128464'
year: '2024'
...
---
_id: '66174'
citation:
ama: 'Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU
Register Allocation. Published online 2024. doi:10.48550/ARXIV.2404.06846'
apa: 'Register Your Forests: Decision Tree Ensemble Optimization by Explicit
CPU Register Allocation. (2024). https://doi.org/10.48550/ARXIV.2404.06846'
bibtex: '@article{Register Your Forests: Decision Tree Ensemble Optimization by
Explicit CPU Register Allocation_2024, DOI={10.48550/ARXIV.2404.06846},
year={2024} }'
chicago: '“Register Your Forests: Decision Tree Ensemble Optimization by Explicit
CPU Register Allocation,” 2024. https://doi.org/10.48550/ARXIV.2404.06846.'
ieee: '“Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU
Register Allocation,” 2024, doi: 10.48550/ARXIV.2404.06846.'
mla: 'Register Your Forests: Decision Tree Ensemble Optimization by Explicit
CPU Register Allocation. 2024, doi:10.48550/ARXIV.2404.06846.'
short: (2024).
date_created: 2026-07-03T21:12:50Z
date_updated: 2026-07-05T14:48:15Z
doi: 10.48550/ARXIV.2404.06846
status: public
title: 'Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU
Register Allocation'
type: journal_article
user_id: '128464'
year: '2024'
...
---
_id: '21199'
abstract:
- lang: eng
text: "As in almost every other branch of science, the major advances in data\r\nscience
and machine learning have also resulted in significant improvements\r\nregarding
the modeling and simulation of nonlinear dynamical systems. It is\r\nnowadays
possible to make accurate medium to long-term predictions of highly\r\ncomplex
systems such as the weather, the dynamics within a nuclear fusion\r\nreactor,
of disease models or the stock market in a very efficient manner. In\r\nmany cases,
predictive methods are advertised to ultimately be useful for\r\ncontrol, as the
control of high-dimensional nonlinear systems is an engineering\r\ngrand challenge
with huge potential in areas such as clean and efficient energy\r\nproduction,
or the development of advanced medical devices. However, the\r\nquestion of how
to use a predictive model for control is often left unanswered\r\ndue to the associated
challenges, namely a significantly higher system\r\ncomplexity, the requirement
of much larger data sets and an increased and often\r\nproblem-specific modeling
effort. To solve these issues, we present a universal\r\nframework (which we call
QuaSiModO:\r\nQuantization-Simulation-Modeling-Optimization) to transform arbitrary\r\npredictive
models into control systems and use them for feedback control. The\r\nadvantages
of our approach are a linear increase in data requirements with\r\nrespect to
the control dimension, performance guarantees that rely exclusively\r\non the
accuracy of the predictive model, and only little prior knowledge\r\nrequirements
in control theory to solve complex control problems. In particular\r\nthe latter
point is of key importance to enable a large number of researchers\r\nand practitioners
to exploit the ever increasing capabilities of predictive\r\nmodels for control
in a straight-forward and systematic fashion."
article_number: '110840'
author:
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Katharina
full_name: Bieker, Katharina
id: '32829'
last_name: Bieker
citation:
ama: Peitz S, Bieker K. On the Universal Transformation of Data-Driven Models to
Control Systems. Automatica. 2023;149. doi:10.1016/j.automatica.2022.110840
apa: Peitz, S., & Bieker, K. (2023). On the Universal Transformation of Data-Driven
Models to Control Systems. Automatica, 149, Article 110840. https://doi.org/10.1016/j.automatica.2022.110840
bibtex: '@article{Peitz_Bieker_2023, title={On the Universal Transformation of Data-Driven
Models to Control Systems}, volume={149}, DOI={10.1016/j.automatica.2022.110840},
number={110840}, journal={Automatica}, publisher={Elsevier}, author={Peitz, Sebastian
and Bieker, Katharina}, year={2023} }'
chicago: Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation
of Data-Driven Models to Control Systems.” Automatica 149 (2023). https://doi.org/10.1016/j.automatica.2022.110840.
ieee: 'S. Peitz and K. Bieker, “On the Universal Transformation of Data-Driven Models
to Control Systems,” Automatica, vol. 149, Art. no. 110840, 2023, doi:
10.1016/j.automatica.2022.110840.'
mla: Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of
Data-Driven Models to Control Systems.” Automatica, vol. 149, 110840, Elsevier,
2023, doi:10.1016/j.automatica.2022.110840.
short: S. Peitz, K. Bieker, Automatica 149 (2023).
date_created: 2021-02-10T07:04:15Z
date_updated: 2023-01-07T12:01:58Z
department:
- _id: '101'
- _id: '655'
doi: 10.1016/j.automatica.2022.110840
intvolume: ' 149'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S0005109822007075/pdfft?isDTMRedir=true&download=true
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Automatica
publication_status: published
publisher: Elsevier
status: public
title: On the Universal Transformation of Data-Driven Models to Control Systems
type: journal_article
user_id: '47427'
volume: 149
year: '2023'
...
---
_id: '35428'
abstract:
- lang: eng
text: This paper presents a model of an energy system for a private household extended
by a lifetime prognosis. The energy system was designed for fully covering the
year-round energy demand of a private household on the basis of electricity generated
by a photovoltaic (PV) system, using a hybrid energy storage system consisting
of a hydrogen unit and a lithium-ion battery. Hydrogen is produced with a Proton
Exchange Membrane (PEM) electrolyser by PV surplus during the summer months and
then stored in a hydrogen tank. Mainly during winter, in terms of lack of PV energy,
the hydrogen is converted back into electricity and heat by a fuel cell. The model
was created in Matlab/Simulink and is based on real input data. Heat demand was
also taken into account and is covered by a heat pump. The simulation period is
a full year to account for the seasonality of energy production and demand. Due
to high initial costs, the longevity of such an energy system is of vital interest.
Therefore, this model was extended by a lifetime prediction in order to optimize
the dimensioning with the aim of lifetime extension of a hydrogen-based energy
system. Lifetime influencing factors were identified on the basis of a literature
review and were integrated in the model. An extensive parameter study was performed
to evaluate different dimensionings regarding the energy balance and the lifetime
of the three components, electrolyser, fuel cell and lithium-ion battery. The
results demonstrate the benefits of a holistic modelling approach and enable a
design optimization regarding the use of resources, lifetime and self-sufficiency
of the system
author:
- first_name: Marius Claus
full_name: Möller, Marius Claus
id: '72391'
last_name: Möller
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: Möller MC, Krauter S. Dimensioning and Lifetime Prediction Model for a Hybrid,
Hydrogen-Based Household PV Energy System Using Matlab/Simulink. Solar.
2023;3(1):25-48. doi:10.3390/solar3010003
apa: Möller, M. C., & Krauter, S. (2023). Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.
Solar, 3(1), 25–48. https://doi.org/10.3390/solar3010003
bibtex: '@article{Möller_Krauter_2023, title={Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink},
volume={3}, DOI={10.3390/solar3010003},
number={1}, journal={Solar}, publisher={MDPI AG}, author={Möller, Marius Claus
and Krauter, Stefan}, year={2023}, pages={25–48} }'
chicago: 'Möller, Marius Claus, and Stefan Krauter. “Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.”
Solar 3, no. 1 (2023): 25–48. https://doi.org/10.3390/solar3010003.'
ieee: 'M. C. Möller and S. Krauter, “Dimensioning and Lifetime Prediction Model
for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink,”
Solar, vol. 3, no. 1, pp. 25–48, 2023, doi: 10.3390/solar3010003.'
mla: Möller, Marius Claus, and Stefan Krauter. “Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.”
Solar, vol. 3, no. 1, MDPI AG, 2023, pp. 25–48, doi:10.3390/solar3010003.
short: M.C. Möller, S. Krauter, Solar 3 (2023) 25–48.
date_created: 2023-01-09T06:35:00Z
date_updated: 2023-01-09T06:36:10Z
department:
- _id: '53'
doi: 10.3390/solar3010003
intvolume: ' 3'
issue: '1'
language:
- iso: eng
page: 25-48
publication: Solar
publication_identifier:
issn:
- 2673-9941
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household
PV Energy System Using Matlab/Simulink
type: journal_article
user_id: '16148'
volume: 3
year: '2023'
...
---
_id: '47992'
abstract:
- lang: eng
text: Ferroelectric domain boundaries are quasi-two-dimensional functional interfaces
with high prospects for nanoelectronic applications. Despite their reduced dimensionality,
they can exhibit complex non-Ising polarization configurations and unexpected
physical properties. Here, the impact of the three-dimensional (3D) curvature
on the polarization profile of nominally uncharged 180° domain walls in LiNbO3
is studied using second-harmonic generation microscopy and 3D polarimetry analysis.
Correlations between the domain-wall curvature and the variation of its internal
polarization unfold in the form of modulations of the Néel-like character, which
we attribute to the flexoelectric effect. While the Néel-like character originates
mainly from the tilting of the domain wall, the internal polarization adjusts
its orientation due to the synergetic upshot of dipolar and monopolar bound charges
and their variation with the 3D curvature. Our results show that curved interfaces
in solid crystals may offer a rich playground for tailoring nanoscale polar states.
article_type: original
author:
- first_name: Ulises
full_name: Acevedo-Salas, Ulises
last_name: Acevedo-Salas
- first_name: Boris
full_name: Croes, Boris
last_name: Croes
- first_name: Yide
full_name: Zhang, Yide
last_name: Zhang
- first_name: Olivier
full_name: Cregut, Olivier
last_name: Cregut
- first_name: Kokou Dodzi
full_name: Dorkenoo, Kokou Dodzi
last_name: Dorkenoo
- first_name: Benjamin
full_name: Kirbus, Benjamin
last_name: Kirbus
- first_name: Ekta
full_name: Singh, Ekta
last_name: Singh
- first_name: Henrik
full_name: Beccard, Henrik
last_name: Beccard
- first_name: Michael
full_name: Rüsing, Michael
id: '22501'
last_name: Rüsing
orcid: 0000-0003-4682-4577
- first_name: Lukas M.
full_name: Eng, Lukas M.
last_name: Eng
- first_name: Riccardo
full_name: Hertel, Riccardo
last_name: Hertel
- first_name: Eugene A.
full_name: Eliseev, Eugene A.
last_name: Eliseev
- first_name: Anna N.
full_name: Morozovska, Anna N.
last_name: Morozovska
- first_name: Salia
full_name: Cherifi-Hertel, Salia
last_name: Cherifi-Hertel
citation:
ama: Acevedo-Salas U, Croes B, Zhang Y, et al. Impact of 3D Curvature on the Polarization
Orientation in Non-Ising Domain Walls. Nano Letters. 2023;23(3):795-803.
doi:10.1021/acs.nanolett.2c03579
apa: Acevedo-Salas, U., Croes, B., Zhang, Y., Cregut, O., Dorkenoo, K. D., Kirbus,
B., Singh, E., Beccard, H., Rüsing, M., Eng, L. M., Hertel, R., Eliseev, E. A.,
Morozovska, A. N., & Cherifi-Hertel, S. (2023). Impact of 3D Curvature on
the Polarization Orientation in Non-Ising Domain Walls. Nano Letters, 23(3),
795–803. https://doi.org/10.1021/acs.nanolett.2c03579
bibtex: '@article{Acevedo-Salas_Croes_Zhang_Cregut_Dorkenoo_Kirbus_Singh_Beccard_Rüsing_Eng_et
al._2023, title={Impact of 3D Curvature on the Polarization Orientation in Non-Ising
Domain Walls}, volume={23}, DOI={10.1021/acs.nanolett.2c03579},
number={3}, journal={Nano Letters}, publisher={American Chemical Society (ACS)},
author={Acevedo-Salas, Ulises and Croes, Boris and Zhang, Yide and Cregut, Olivier
and Dorkenoo, Kokou Dodzi and Kirbus, Benjamin and Singh, Ekta and Beccard, Henrik
and Rüsing, Michael and Eng, Lukas M. and et al.}, year={2023}, pages={795–803}
}'
chicago: 'Acevedo-Salas, Ulises, Boris Croes, Yide Zhang, Olivier Cregut, Kokou
Dodzi Dorkenoo, Benjamin Kirbus, Ekta Singh, et al. “Impact of 3D Curvature on
the Polarization Orientation in Non-Ising Domain Walls.” Nano Letters 23,
no. 3 (2023): 795–803. https://doi.org/10.1021/acs.nanolett.2c03579.'
ieee: 'U. Acevedo-Salas et al., “Impact of 3D Curvature on the Polarization
Orientation in Non-Ising Domain Walls,” Nano Letters, vol. 23, no. 3, pp.
795–803, 2023, doi: 10.1021/acs.nanolett.2c03579.'
mla: Acevedo-Salas, Ulises, et al. “Impact of 3D Curvature on the Polarization Orientation
in Non-Ising Domain Walls.” Nano Letters, vol. 23, no. 3, American Chemical
Society (ACS), 2023, pp. 795–803, doi:10.1021/acs.nanolett.2c03579.
short: U. Acevedo-Salas, B. Croes, Y. Zhang, O. Cregut, K.D. Dorkenoo, B. Kirbus,
E. Singh, H. Beccard, M. Rüsing, L.M. Eng, R. Hertel, E.A. Eliseev, A.N. Morozovska,
S. Cherifi-Hertel, Nano Letters 23 (2023) 795–803.
date_created: 2023-10-11T09:06:05Z
date_updated: 2023-10-11T09:06:31Z
doi: 10.1021/acs.nanolett.2c03579
extern: '1'
intvolume: ' 23'
issue: '3'
keyword:
- Mechanical Engineering
- Condensed Matter Physics
- General Materials Science
- General Chemistry
- Bioengineering
language:
- iso: eng
page: 795-803
publication: Nano Letters
publication_identifier:
issn:
- 1530-6984
- 1530-6992
publication_status: published
publisher: American Chemical Society (ACS)
quality_controlled: '1'
status: public
title: Impact of 3D Curvature on the Polarization Orientation in Non-Ising Domain
Walls
type: journal_article
user_id: '22501'
volume: 23
year: '2023'
...
---
_id: '47522'
abstract:
- lang: eng
text: Artificial benchmark functions are commonly used in optimization research
because of their ability to rapidly evaluate potential solutions, making them
a preferred substitute for real-world problems. However, these benchmark functions
have faced criticism for their limited resemblance to real-world problems. In
response, recent research has focused on automatically generating new benchmark
functions for areas where established test suites are inadequate. These approaches
have limitations, such as the difficulty of generating new benchmark functions
that exhibit exploratory landscape analysis (ELA) features beyond those of existing
benchmarks.The objective of this work is to develop a method for generating benchmark
functions for single-objective continuous optimization with user-specified structural
properties. Specifically, we aim to demonstrate a proof of concept for a method
that uses an ELA feature vector to specify these properties in advance. To achieve
this, we begin by generating a random sample of decision space variables and objective
values. We then adjust the objective values using CMA-ES until the corresponding
features of our new problem match the predefined ELA features within a specified
threshold. By iteratively transforming the landscape in this way, we ensure that
the resulting function exhibits the desired properties. To create the final function,
we use the resulting point cloud as training data for a simple neural network
that produces a function exhibiting the target ELA features. We demonstrate the
effectiveness of this approach by replicating the existing functions of the well-known
BBOB suite and creating new functions with ELA feature values that are not present
in BBOB.
author:
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Konstantin
full_name: Dietrich, Konstantin
last_name: Dietrich
- first_name: Lennart
full_name: Schneider, Lennart
last_name: Schneider
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Bernd
full_name: Bischl, Bernd
last_name: Bischl
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Olaf
full_name: Mersmann, Olaf
last_name: Mersmann
citation:
ama: 'Prager RP, Dietrich K, Schneider L, et al. Neural Networks as Black-Box Benchmark
Functions Optimized for Exploratory Landscape Features. In: Proceedings of
the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA
’23. Association for Computing Machinery; 2023:129–139. doi:10.1145/3594805.3607136'
apa: Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke,
P., Trautmann, H., & Mersmann, O. (2023). Neural Networks as Black-Box Benchmark
Functions Optimized for Exploratory Landscape Features. Proceedings of the
17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139.
https://doi.org/10.1145/3594805.3607136
bibtex: '@inproceedings{Prager_Dietrich_Schneider_Schäpermeier_Bischl_Kerschke_Trautmann_Mersmann_2023,
place={New York, NY, USA}, series={FOGA ’23}, title={Neural Networks as Black-Box
Benchmark Functions Optimized for Exploratory Landscape Features}, DOI={10.1145/3594805.3607136},
booktitle={Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic
Algorithms}, publisher={Association for Computing Machinery}, author={Prager,
Raphael Patrick and Dietrich, Konstantin and Schneider, Lennart and Schäpermeier,
Lennart and Bischl, Bernd and Kerschke, Pascal and Trautmann, Heike and Mersmann,
Olaf}, year={2023}, pages={129–139}, collection={FOGA ’23} }'
chicago: 'Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart
Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann.
“Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape
Features.” In Proceedings of the 17th ACM/SIGEVO Conference on Foundations
of Genetic Algorithms, 129–139. FOGA ’23. New York, NY, USA: Association for
Computing Machinery, 2023. https://doi.org/10.1145/3594805.3607136.'
ieee: 'R. P. Prager et al., “Neural Networks as Black-Box Benchmark Functions
Optimized for Exploratory Landscape Features,” in Proceedings of the 17th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms, 2023, pp. 129–139, doi: 10.1145/3594805.3607136.'
mla: Prager, Raphael Patrick, et al. “Neural Networks as Black-Box Benchmark Functions
Optimized for Exploratory Landscape Features.” Proceedings of the 17th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms, Association for Computing
Machinery, 2023, pp. 129–139, doi:10.1145/3594805.3607136.
short: 'R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke,
H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on
Foundations of Genetic Algorithms, Association for Computing Machinery, New York,
NY, USA, 2023, pp. 129–139.'
date_created: 2023-09-27T15:43:17Z
date_updated: 2023-10-16T12:33:02Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3594805.3607136
keyword:
- Benchmarking
- Instance Generator
- Black-Box Continuous Optimization
- Exploratory Landscape Analysis
- Neural Networks
language:
- iso: eng
page: 129–139
place: New York, NY, USA
publication: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic
Algorithms
publication_identifier:
isbn:
- '9798400702020'
publisher: Association for Computing Machinery
series_title: FOGA ’23
status: public
title: Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory
Landscape Features
type: conference
user_id: '15504'
year: '2023'
...
---
_id: '46297'
abstract:
- lang: eng
text: Exploratory landscape analysis (ELA) in single-objective black-box optimization
relies on a comprehensive and large set of numerical features characterizing problem
instances. Those foster problem understanding and serve as basis for constructing
automated algorithm selection models choosing the best suited algorithm for a
problem at hand based on the aforementioned features computed prior to optimization.
This work specifically points to the sensitivity of a substantial proportion of
these features to absolute objective values, i.e., we observe a lack of shift
and scale invariance. We show that this unfortunately induces bias within automated
algorithm selection models, an overfitting to specific benchmark problem sets
used for training and thereby hinders generalization capabilities to unseen problems.
We tackle these issues by presenting an appropriate objective normalization to
be used prior to ELA feature computation and empirically illustrate the respective
effectiveness focusing on the BBOB benchmark set.
author:
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory
Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. Applications
of Evolutionary Computation. Springer Nature Switzerland; 2023:411–425.'
apa: Prager, R. P., & Trautmann, H. (2023). Nullifying the Inherent Bias of
Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith,
& R. Qaddoura (Eds.), Applications of Evolutionary Computation (pp.
411–425). Springer Nature Switzerland.
bibtex: '@inproceedings{Prager_Trautmann_2023, place={Cham}, title={Nullifying the
Inherent Bias of Non-invariant Exploratory Landscape Analysis Features}, booktitle={Applications
of Evolutionary Computation}, publisher={Springer Nature Switzerland}, author={Prager,
Raphael Patrick and Trautmann, Heike}, editor={Correia, João and Smith, Stephen
and Qaddoura, Raneem}, year={2023}, pages={411–425} }'
chicago: 'Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent
Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications
of Evolutionary Computation, edited by João Correia, Stephen Smith, and Raneem
Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.'
ieee: R. P. Prager and H. Trautmann, “Nullifying the Inherent Bias of Non-invariant
Exploratory Landscape Analysis Features,” in Applications of Evolutionary Computation,
2023, pp. 411–425.
mla: Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias
of Non-Invariant Exploratory Landscape Analysis Features.” Applications of
Evolutionary Computation, edited by João Correia et al., Springer Nature Switzerland,
2023, pp. 411–425.
short: 'R.P. Prager, H. Trautmann, in: J. Correia, S. Smith, R. Qaddoura (Eds.),
Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2023,
pp. 411–425.'
date_created: 2023-08-04T06:54:22Z
date_updated: 2023-10-16T12:36:45Z
department:
- _id: '819'
- _id: '34'
editor:
- first_name: João
full_name: Correia, João
last_name: Correia
- first_name: Stephen
full_name: Smith, Stephen
last_name: Smith
- first_name: Raneem
full_name: Qaddoura, Raneem
last_name: Qaddoura
language:
- iso: eng
page: 411–425
place: Cham
publication: Applications of Evolutionary Computation
publication_identifier:
isbn:
- 978-3-031-30229-9
publisher: Springer Nature Switzerland
status: public
title: Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis
Features
type: conference
user_id: '15504'
year: '2023'
...
---
_id: '46298'
abstract:
- lang: eng
text: The design and choice of benchmark suites are ongoing topics of discussion
in the multi-objective optimization community. Some suites provide a good understanding
of their Pareto sets and fronts, such as the well-known DTLZ and ZDT problems.
However, they lack diversity in their landscape properties and do not provide
a mechanism for creating multiple distinct problem instances. Other suites, like
bi-objective BBOB, possess diverse and challenging landscape properties, but their
optima are not well understood and can only be approximated empirically without
any guarantees.
author:
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Schäpermeier L, Kerschke P, Grimme C, Trautmann H. Peak-A-Boo! Generating
Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In:
Emmerich M, Deutz A, Wang H, et al., eds. Evolutionary Multi-Criterion Optimization.
Springer Nature Switzerland; 2023:291–304.'
apa: Schäpermeier, L., Kerschke, P., Grimme, C., & Trautmann, H. (2023). Peak-A-Boo!
Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto
Sets. In M. Emmerich, A. Deutz, H. Wang, A. V. Kononova, B. Naujoks, K. Li, K.
Miettinen, & I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization
(pp. 291–304). Springer Nature Switzerland.
bibtex: '@inproceedings{Schäpermeier_Kerschke_Grimme_Trautmann_2023, place={Cham},
title={Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems
with Precise Pareto Sets}, booktitle={Evolutionary Multi-Criterion Optimization},
publisher={Springer Nature Switzerland}, author={Schäpermeier, Lennart and Kerschke,
Pascal and Grimme, Christian and Trautmann, Heike}, editor={Emmerich, Michael
and Deutz, André and Wang, Hao and Kononova, Anna V. and Naujoks, Boris and Li,
Ke and Miettinen, Kaisa and Yevseyeva, Iryna}, year={2023}, pages={291–304} }'
chicago: 'Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann.
“Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with
Precise Pareto Sets.” In Evolutionary Multi-Criterion Optimization, edited
by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke
Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland,
2023.'
ieee: L. Schäpermeier, P. Kerschke, C. Grimme, and H. Trautmann, “Peak-A-Boo! Generating
Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets,” in
Evolutionary Multi-Criterion Optimization, 2023, pp. 291–304.
mla: Schäpermeier, Lennart, et al. “Peak-A-Boo! Generating Multi-Objective Multiple
Peaks Benchmark Problems with Precise Pareto Sets.” Evolutionary Multi-Criterion
Optimization, edited by Michael Emmerich et al., Springer Nature Switzerland,
2023, pp. 291–304.
short: 'L. Schäpermeier, P. Kerschke, C. Grimme, H. Trautmann, in: M. Emmerich,
A. Deutz, H. Wang, A.V. Kononova, B. Naujoks, K. Li, K. Miettinen, I. Yevseyeva
(Eds.), Evolutionary Multi-Criterion Optimization, Springer Nature Switzerland,
Cham, 2023, pp. 291–304.'
date_created: 2023-08-04T06:56:10Z
date_updated: 2023-10-16T12:36:17Z
department:
- _id: '819'
- _id: '34'
editor:
- first_name: Michael
full_name: Emmerich, Michael
last_name: Emmerich
- first_name: André
full_name: Deutz, André
last_name: Deutz
- first_name: Hao
full_name: Wang, Hao
last_name: Wang
- first_name: Anna V.
full_name: Kononova, Anna V.
last_name: Kononova
- first_name: Boris
full_name: Naujoks, Boris
last_name: Naujoks
- first_name: Ke
full_name: Li, Ke
last_name: Li
- first_name: Kaisa
full_name: Miettinen, Kaisa
last_name: Miettinen
- first_name: Iryna
full_name: Yevseyeva, Iryna
last_name: Yevseyeva
language:
- iso: eng
page: 291–304
place: Cham
publication: Evolutionary Multi-Criterion Optimization
publication_identifier:
isbn:
- 978-3-031-27250-9
publisher: Springer Nature Switzerland
status: public
title: Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with
Precise Pareto Sets
type: conference
user_id: '15504'
year: '2023'
...