[{"title":"Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory and Experiment","year":"2024","publication_identifier":{"issn":["1862-6300","1862-6319"]},"author":[{"last_name":"Bernhardt","first_name":"Felix","full_name":"Bernhardt, Felix"},{"last_name":"Gharat","first_name":"Soham","full_name":"Gharat, Soham"},{"last_name":"Kapp","first_name":"Alexander","full_name":"Kapp, Alexander"},{"full_name":"Pfeiffer, Florian","last_name":"Pfeiffer","first_name":"Florian"},{"last_name":"Buschbeck","first_name":"Robin","full_name":"Buschbeck, Robin"},{"first_name":"Franz","last_name":"Hempel","full_name":"Hempel, Franz"},{"last_name":"Pashkin","first_name":"Oleksiy","full_name":"Pashkin, Oleksiy"},{"full_name":"Kehr, Susanne C.","last_name":"Kehr","first_name":"Susanne C."},{"full_name":"Rüsing, Michael","last_name":"Rüsing","orcid":"0000-0003-4682-4577","first_name":"Michael","id":"22501"},{"first_name":"Simone","last_name":"Sanna","full_name":"Sanna, Simone"},{"first_name":"Lukas M.","last_name":"Eng","full_name":"Eng, Lukas M."}],"publication_status":"published","date_updated":"2025-04-02T16:07:19Z","intvolume":"       222","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1002/pssa.202300968"}],"language":[{"iso":"eng"}],"doi":"10.1002/pssa.202300968","issue":"1","publication":"physica status solidi (a)","abstract":[{"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.","lang":"eng"}],"date_created":"2025-04-02T16:04:58Z","type":"journal_article","department":[{"_id":"15"},{"_id":"623"},{"_id":"288"}],"status":"public","page":"2300968","publisher":"Wiley","_id":"59271","user_id":"22501","volume":222,"citation":{"apa":"Bernhardt, F., Gharat, S., Kapp, A., Pfeiffer, F., Buschbeck, R., Hempel, F., Pashkin, O., Kehr, S. C., Rüsing, M., Sanna, S., &#38; Eng, L. M. (2024). Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory and Experiment. <i>Physica Status Solidi (a)</i>, <i>222</i>(1), 2300968. <a href=\"https://doi.org/10.1002/pssa.202300968\">https://doi.org/10.1002/pssa.202300968</a>","ieee":"F. Bernhardt <i>et al.</i>, “Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory and Experiment,” <i>physica status solidi (a)</i>, vol. 222, no. 1, p. 2300968, 2024, doi: <a href=\"https://doi.org/10.1002/pssa.202300968\">10.1002/pssa.202300968</a>.","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.” <i>Physica Status Solidi (a)</i> 222, no. 1 (2024): 2300968. <a href=\"https://doi.org/10.1002/pssa.202300968\">https://doi.org/10.1002/pssa.202300968</a>.","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.","mla":"Bernhardt, Felix, et al. “Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory and Experiment.” <i>Physica Status Solidi (a)</i>, vol. 222, no. 1, Wiley, 2024, p. 2300968, doi:<a href=\"https://doi.org/10.1002/pssa.202300968\">10.1002/pssa.202300968</a>.","ama":"Bernhardt F, Gharat S, Kapp A, et al. Lattice Dynamics of LiNb(1–x)Ta(x)O3 Solid Solutions: Theory and Experiment. <i>physica status solidi (a)</i>. 2024;222(1):2300968. doi:<a href=\"https://doi.org/10.1002/pssa.202300968\">10.1002/pssa.202300968</a>","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={<a href=\"https://doi.org/10.1002/pssa.202300968\">10.1002/pssa.202300968</a>}, 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} }"},"oa":"1"},{"article_type":"original","intvolume":"       136","publication_status":"published","date_updated":"2025-04-02T16:14:31Z","author":[{"last_name":"Ratzenberger","first_name":"Julius","full_name":"Ratzenberger, Julius"},{"full_name":"Kiseleva, Iuliia","last_name":"Kiseleva","first_name":"Iuliia"},{"full_name":"Koppitz, Boris","first_name":"Boris","last_name":"Koppitz"},{"full_name":"Beyreuther, Elke","first_name":"Elke","last_name":"Beyreuther"},{"last_name":"Zahn","first_name":"Manuel","full_name":"Zahn, Manuel"},{"full_name":"Gössel, Joshua","last_name":"Gössel","first_name":"Joshua"},{"full_name":"Hegarty, Peter A.","first_name":"Peter A.","last_name":"Hegarty"},{"full_name":"Amber, Zeeshan H.","first_name":"Zeeshan H.","last_name":"Amber"},{"id":"22501","last_name":"Rüsing","first_name":"Michael","orcid":"0000-0003-4682-4577","full_name":"Rüsing, Michael"},{"full_name":"Eng, Lukas M.","first_name":"Lukas M.","last_name":"Eng"}],"publication_identifier":{"issn":["0021-8979","1089-7550"]},"title":"Toward the reproducible fabrication of conductive ferroelectric domain walls into lithium niobate bulk single crystals","year":"2024","doi":"10.1063/5.0219300","language":[{"iso":"eng"}],"main_file_link":[{"url":" https://doi.org/10.1063/5.0219300","open_access":"1"}],"abstract":[{"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.","lang":"eng"}],"publication":"Journal of Applied Physics","issue":"10","department":[{"_id":"288"},{"_id":"15"},{"_id":"623"}],"type":"journal_article","date_created":"2025-04-02T16:12:29Z","status":"public","volume":136,"user_id":"22501","publisher":"AIP Publishing","_id":"59273","page":"104302","quality_controlled":"1","citation":{"mla":"Ratzenberger, Julius, et al. “Toward the Reproducible Fabrication of Conductive Ferroelectric Domain Walls into Lithium Niobate Bulk Single Crystals.” <i>Journal of Applied Physics</i>, vol. 136, no. 10, AIP Publishing, 2024, p. 104302, doi:<a href=\"https://doi.org/10.1063/5.0219300\">10.1063/5.0219300</a>.","ama":"Ratzenberger J, Kiseleva I, Koppitz B, et al. Toward the reproducible fabrication of conductive ferroelectric domain walls into lithium niobate bulk single crystals. <i>Journal of Applied Physics</i>. 2024;136(10):104302. doi:<a href=\"https://doi.org/10.1063/5.0219300\">10.1063/5.0219300</a>","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={<a href=\"https://doi.org/10.1063/5.0219300\">10.1063/5.0219300</a>}, 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} }","apa":"Ratzenberger, J., Kiseleva, I., Koppitz, B., Beyreuther, E., Zahn, M., Gössel, J., Hegarty, P. A., Amber, Z. H., Rüsing, M., &#38; Eng, L. M. (2024). Toward the reproducible fabrication of conductive ferroelectric domain walls into lithium niobate bulk single crystals. <i>Journal of Applied Physics</i>, <i>136</i>(10), 104302. <a href=\"https://doi.org/10.1063/5.0219300\">https://doi.org/10.1063/5.0219300</a>","ieee":"J. Ratzenberger <i>et al.</i>, “Toward the reproducible fabrication of conductive ferroelectric domain walls into lithium niobate bulk single crystals,” <i>Journal of Applied Physics</i>, vol. 136, no. 10, p. 104302, 2024, doi: <a href=\"https://doi.org/10.1063/5.0219300\">10.1063/5.0219300</a>.","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.","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.” <i>Journal of Applied Physics</i> 136, no. 10 (2024): 104302. <a href=\"https://doi.org/10.1063/5.0219300\">https://doi.org/10.1063/5.0219300</a>."},"oa":"1"},{"date_updated":"2025-04-03T05:56:33Z","intvolume":"        32","status":"public","title":"Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python","year":"2024","author":[{"full_name":"Prager, Raphael Patrick","last_name":"Prager","first_name":"Raphael Patrick"},{"id":"100740","full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike"}],"doi":"10.1162/EVCO_A_00341","user_id":"15504","volume":32,"page":"211–216","_id":"59283","language":[{"iso":"eng"}],"publication":"Evol. Comput.","issue":"3","citation":{"short":"R.P. Prager, H. Trautmann, Evol. Comput. 32 (2024) 211–216.","chicago":"Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” <i>Evol. Comput.</i> 32, no. 3 (2024): 211–216. <a href=\"https://doi.org/10.1162/EVCO_A_00341\">https://doi.org/10.1162/EVCO_A_00341</a>.","ieee":"R. P. Prager and H. Trautmann, “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python,” <i>Evol. Comput.</i>, vol. 32, no. 3, pp. 211–216, 2024, doi: <a href=\"https://doi.org/10.1162/EVCO_A_00341\">10.1162/EVCO_A_00341</a>.","apa":"Prager, R. P., &#38; Trautmann, H. (2024). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. <i>Evol. Comput.</i>, <i>32</i>(3), 211–216. <a href=\"https://doi.org/10.1162/EVCO_A_00341\">https://doi.org/10.1162/EVCO_A_00341</a>","bibtex":"@article{Prager_Trautmann_2024, title={Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python}, volume={32}, DOI={<a href=\"https://doi.org/10.1162/EVCO_A_00341\">10.1162/EVCO_A_00341</a>}, number={3}, journal={Evol. Comput.}, author={Prager, Raphael Patrick and Trautmann, Heike}, year={2024}, pages={211–216} }","ama":"Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. <i>Evol Comput</i>. 2024;32(3):211–216. doi:<a href=\"https://doi.org/10.1162/EVCO_A_00341\">10.1162/EVCO_A_00341</a>","mla":"Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” <i>Evol. Comput.</i>, vol. 32, no. 3, 2024, pp. 211–216, doi:<a href=\"https://doi.org/10.1162/EVCO_A_00341\">10.1162/EVCO_A_00341</a>."},"type":"journal_article","date_created":"2025-04-03T05:56:07Z"},{"status":"public","volume":135,"user_id":"22501","publisher":"AIP Publishing","_id":"54966","quality_controlled":"1","citation":{"chicago":"Roeper, Matthias, Samuel D. Seddon, Zeeshan H. Amber, Michael Rüsing, and Lukas M. Eng. “Depth Resolution in Piezoresponse Force Microscopy.” <i>Journal of Applied Physics</i> 135, no. 22 (2024). <a href=\"https://doi.org/10.1063/5.0206784\">https://doi.org/10.1063/5.0206784</a>.","short":"M. Roeper, S.D. Seddon, Z.H. Amber, M. Rüsing, L.M. Eng, Journal of Applied Physics 135 (2024).","ieee":"M. Roeper, S. D. Seddon, Z. H. Amber, M. Rüsing, and L. M. Eng, “Depth resolution in piezoresponse force microscopy,” <i>Journal of Applied Physics</i>, vol. 135, no. 22, 2024, doi: <a href=\"https://doi.org/10.1063/5.0206784\">10.1063/5.0206784</a>.","apa":"Roeper, M., Seddon, S. D., Amber, Z. H., Rüsing, M., &#38; Eng, L. M. (2024). Depth resolution in piezoresponse force microscopy. <i>Journal of Applied Physics</i>, <i>135</i>(22). <a href=\"https://doi.org/10.1063/5.0206784\">https://doi.org/10.1063/5.0206784</a>","bibtex":"@article{Roeper_Seddon_Amber_Rüsing_Eng_2024, title={Depth resolution in piezoresponse force microscopy}, volume={135}, DOI={<a href=\"https://doi.org/10.1063/5.0206784\">10.1063/5.0206784</a>}, 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} }","ama":"Roeper M, Seddon SD, Amber ZH, Rüsing M, Eng LM. Depth resolution in piezoresponse force microscopy. <i>Journal of Applied Physics</i>. 2024;135(22). doi:<a href=\"https://doi.org/10.1063/5.0206784\">10.1063/5.0206784</a>","mla":"Roeper, Matthias, et al. “Depth Resolution in Piezoresponse Force Microscopy.” <i>Journal of Applied Physics</i>, vol. 135, no. 22, AIP Publishing, 2024, doi:<a href=\"https://doi.org/10.1063/5.0206784\">10.1063/5.0206784</a>."},"oa":"1","intvolume":"       135","article_type":"original","date_updated":"2025-04-03T12:35:34Z","publication_status":"published","publication_identifier":{"issn":["0021-8979","1089-7550"]},"author":[{"full_name":"Roeper, Matthias","first_name":"Matthias","last_name":"Roeper"},{"last_name":"Seddon","first_name":"Samuel D.","full_name":"Seddon, Samuel D."},{"full_name":"Amber, Zeeshan H.","first_name":"Zeeshan H.","last_name":"Amber"},{"orcid":"0000-0003-4682-4577","last_name":"Rüsing","first_name":"Michael","full_name":"Rüsing, Michael","id":"22501"},{"full_name":"Eng, Lukas M.","last_name":"Eng","first_name":"Lukas M."}],"title":"Depth resolution in piezoresponse force microscopy","year":"2024","doi":"10.1063/5.0206784","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1063/5.0206784","open_access":"1"}],"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."}],"publication":"Journal of Applied Physics","issue":"22","department":[{"_id":"15"},{"_id":"169"},{"_id":"288"},{"_id":"623"}],"keyword":["Ferroelectrics","lithium niobate","piezoresponse force microscopy"],"type":"journal_article","date_created":"2024-07-01T21:00:43Z"},{"date_updated":"2025-06-26T09:43:51Z","publication_status":"published","author":[{"full_name":"Bartlitz, David","last_name":"Bartlitz","first_name":"David","orcid":"0000-0003-2967-8299 ","id":"104560"}],"status":"public","year":"2024","title":"Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung. Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22","user_id":"95606","language":[{"iso":"ger"}],"_id":"60413","page":"616-617","main_file_link":[{"url":"https://www.juris.de/perma?d=jzs-ZIP-2024-12-004-616"}],"citation":{"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} }","ama":"Bartlitz D. Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung. Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22. <i>Zeitschrift für Wirtschaftsrecht (ZIP)</i>. 2024;(12):616-617.","mla":"Bartlitz, David. “Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung. Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22.” <i>Zeitschrift für Wirtschaftsrecht (ZIP)</i>, no. 12, 2024, pp. 616–17.","short":"D. Bartlitz, Zeitschrift für Wirtschaftsrecht (ZIP) (2024) 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.” <i>Zeitschrift für Wirtschaftsrecht (ZIP)</i>, 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,” <i>Zeitschrift für Wirtschaftsrecht (ZIP)</i>, no. 12, pp. 616–617, 2024.","apa":"Bartlitz, D. (2024). Keine negativen Zinsen bei Berechnung der Vorfälligkeitsentschädigung. Anmerkung zu OLG Nürnberg, Urt. v. 25. 7. 2023 - 14 U 2764/22. <i>Zeitschrift für Wirtschaftsrecht (ZIP)</i>, <i>12</i>, 616–617."},"issue":"12","publication":"Zeitschrift für Wirtschaftsrecht (ZIP)","department":[{"_id":"845"}],"type":"journal_article","date_created":"2025-06-26T09:42:09Z"},{"publication":"die hochschullehre","citation":{"chicago":"Neiske, Iris, Ulrike Trier, Judith Osthushenrich, and Tassja Weber, eds. <i>Transformationen. Forschende Und Strategische Perspektiven Auf Eine Postdigitale Hochschullehre</i>. <i>Die Hochschullehre</i>. Vol. 10, 2024. <a href=\"https://doi.org/10.3278/HSLT2402W\">https://doi.org/10.3278/HSLT2402W</a>.","short":"I. Neiske, U. Trier, J. Osthushenrich, T. Weber, eds., Transformationen. Forschende Und Strategische Perspektiven Auf Eine Postdigitale Hochschullehre, 2024.","ieee":"I. Neiske, U. Trier, J. Osthushenrich, and T. Weber, Eds., <i>Transformationen. Forschende und strategische Perspektiven auf eine postdigitale Hochschullehre</i>, vol. 10. 2024.","apa":"Transformationen. Forschende und strategische Perspektiven auf eine postdigitale Hochschullehre. (2024). In I. Neiske, U. Trier, J. Osthushenrich, &#38; T. Weber (Eds.), <i>die hochschullehre</i> (Vol. 10). <a href=\"https://doi.org/10.3278/HSLT2402W\">https://doi.org/10.3278/HSLT2402W</a>","bibtex":"@book{Neiske_Trier_Osthushenrich_Weber_2024, title={Transformationen. Forschende und strategische Perspektiven auf eine postdigitale Hochschullehre}, volume={10}, DOI={<a href=\"https://doi.org/10.3278/HSLT2402W\">10.3278/HSLT2402W</a>}, journal={die hochschullehre}, year={2024} }","ama":"Neiske I, Trier U, Osthushenrich J, Weber T, eds. <i>Transformationen. Forschende Und Strategische Perspektiven Auf Eine Postdigitale Hochschullehre</i>. Vol 10.; 2024. doi:<a href=\"https://doi.org/10.3278/HSLT2402W\">10.3278/HSLT2402W</a>","mla":"Neiske, Iris, et al., editors. “Transformationen. Forschende Und Strategische Perspektiven Auf Eine Postdigitale Hochschullehre.” <i>Die Hochschullehre</i>, vol. 10, 2024, doi:<a href=\"https://doi.org/10.3278/HSLT2402W\">10.3278/HSLT2402W</a>."},"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. "}],"date_created":"2025-06-26T10:47:32Z","type":"journal_editor","oa":"1","title":"Transformationen. Forschende und strategische Perspektiven auf eine postdigitale Hochschullehre","status":"public","year":"2024","conference":{"name":" 22. Jahrestagung der Deutschen Gesellschaft für Hochschuldidaktik"},"date_updated":"2025-06-26T10:55:38Z","intvolume":"        10","main_file_link":[{"open_access":"1","url":"https://www.wbv.de/shop/Transformationen.-Forschende-und-strategische-Perspektiven-auf-eine-postdigitale-Hochschullehre-HSLT2402W"}],"_id":"60418","language":[{"iso":"eng"}],"user_id":"12360","doi":"10.3278/HSLT2402W","volume":10,"editor":[{"id":"53827","last_name":"Neiske","first_name":"Iris","full_name":"Neiske, Iris"},{"full_name":"Trier, Ulrike","last_name":"Trier","first_name":"Ulrike","id":"82117"},{"last_name":"Osthushenrich","first_name":"Judith","full_name":"Osthushenrich, Judith","id":"12360"},{"id":"89571","full_name":"Weber, Tassja","last_name":"Weber","first_name":"Tassja"}]},{"language":[{"iso":"eng"}],"doi":"10.1145/3687950","title":"Bijective Volumetric Mapping via Star Decomposition","year":"2024","author":[{"first_name":"Steffen","last_name":"Hinderink","full_name":"Hinderink, Steffen","id":"116615"},{"id":"115694","full_name":"Brückler, Hendrik","last_name":"Brückler","first_name":"Hendrik"},{"id":"114904","full_name":"Campen, Marcel","orcid":"0000-0003-2340-3462","first_name":"Marcel","last_name":"Campen"}],"publication_identifier":{"issn":["0730-0301","1557-7368"]},"publication_status":"published","date_updated":"2025-07-14T12:33:54Z","intvolume":"        43","date_created":"2025-06-23T09:09:51Z","type":"journal_article","department":[{"_id":"969"}],"publication":"ACM Transactions on Graphics","issue":"6","extern":"1","abstract":[{"text":"<jats:p>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.</jats:p>","lang":"eng"}],"page":"1-11","publisher":"Association for Computing Machinery (ACM)","_id":"60314","user_id":"117512","volume":43,"status":"public","citation":{"chicago":"Hinderink, Steffen, Hendrik Brückler, and Marcel Campen. “Bijective Volumetric Mapping via Star Decomposition.” <i>ACM Transactions on Graphics</i> 43, no. 6 (2024): 1–11. <a href=\"https://doi.org/10.1145/3687950\">https://doi.org/10.1145/3687950</a>.","short":"S. Hinderink, H. Brückler, M. Campen, ACM Transactions on Graphics 43 (2024) 1–11.","ieee":"S. Hinderink, H. Brückler, and M. Campen, “Bijective Volumetric Mapping via Star Decomposition,” <i>ACM Transactions on Graphics</i>, vol. 43, no. 6, pp. 1–11, 2024, doi: <a href=\"https://doi.org/10.1145/3687950\">10.1145/3687950</a>.","apa":"Hinderink, S., Brückler, H., &#38; Campen, M. (2024). Bijective Volumetric Mapping via Star Decomposition. <i>ACM Transactions on Graphics</i>, <i>43</i>(6), 1–11. <a href=\"https://doi.org/10.1145/3687950\">https://doi.org/10.1145/3687950</a>","bibtex":"@article{Hinderink_Brückler_Campen_2024, title={Bijective Volumetric Mapping via Star Decomposition}, volume={43}, DOI={<a href=\"https://doi.org/10.1145/3687950\">10.1145/3687950</a>}, 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} }","ama":"Hinderink S, Brückler H, Campen M. Bijective Volumetric Mapping via Star Decomposition. <i>ACM Transactions on Graphics</i>. 2024;43(6):1-11. doi:<a href=\"https://doi.org/10.1145/3687950\">10.1145/3687950</a>","mla":"Hinderink, Steffen, et al. “Bijective Volumetric Mapping via Star Decomposition.” <i>ACM Transactions on Graphics</i>, vol. 43, no. 6, Association for Computing Machinery (ACM), 2024, pp. 1–11, doi:<a href=\"https://doi.org/10.1145/3687950\">10.1145/3687950</a>."}},{"doi":"10.1039/d4ta00704b","user_id":"48467","language":[{"iso":"eng"}],"_id":"52346","publisher":"Royal Society of Chemistry (RSC)","date_updated":"2025-08-15T12:50:31Z","publication_status":"published","author":[{"full_name":"Vanita, Vanita","first_name":"Vanita","last_name":"Vanita"},{"last_name":"Waidha","first_name":"Aamir Iqbal","full_name":"Waidha, Aamir Iqbal"},{"full_name":"Vasala, Sami","last_name":"Vasala","first_name":"Sami"},{"last_name":"Puphal","first_name":"Pascal","full_name":"Puphal, Pascal"},{"id":"48467","orcid":"0000-0003-2061-7289","first_name":"Roland","last_name":"Schoch","full_name":"Schoch, Roland"},{"full_name":"Glatzel, Pieter","last_name":"Glatzel","first_name":"Pieter"},{"id":"47241","full_name":"Bauer, Matthias","last_name":"Bauer","orcid":"0000-0002-9294-6076","first_name":"Matthias"},{"last_name":"Clemens","first_name":"Oliver","full_name":"Clemens, Oliver"}],"publication_identifier":{"issn":["2050-7488","2050-7496"]},"year":"2024","title":"Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries","status":"public","department":[{"_id":"306"}],"type":"journal_article","keyword":["Xray"],"date_created":"2024-03-07T10:01:09Z","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"}],"citation":{"apa":"Vanita, V., Waidha, A. I., Vasala, S., Puphal, P., Schoch, R., Glatzel, P., Bauer, M., &#38; Clemens, O. (2024). Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries. <i>Journal of Materials Chemistry A</i>, <i>12</i>. <a href=\"https://doi.org/10.1039/d4ta00704b\">https://doi.org/10.1039/d4ta00704b</a>","ieee":"V. Vanita <i>et al.</i>, “Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries,” <i>Journal of Materials Chemistry A</i>, no. 12, 2024, doi: <a href=\"https://doi.org/10.1039/d4ta00704b\">10.1039/d4ta00704b</a>.","short":"V. Vanita, A.I. Waidha, S. Vasala, P. Puphal, R. Schoch, P. Glatzel, M. Bauer, O. Clemens, Journal of Materials Chemistry A (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.” <i>Journal of Materials Chemistry A</i>, no. 12 (2024). <a href=\"https://doi.org/10.1039/d4ta00704b\">https://doi.org/10.1039/d4ta00704b</a>.","mla":"Vanita, Vanita, et al. “Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type Cathode for All-Solid-State Fluoride Ion Batteries.” <i>Journal of Materials Chemistry A</i>, no. 12, Royal Society of Chemistry (RSC), 2024, doi:<a href=\"https://doi.org/10.1039/d4ta00704b\">10.1039/d4ta00704b</a>.","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. <i>Journal of Materials Chemistry A</i>. 2024;(12). doi:<a href=\"https://doi.org/10.1039/d4ta00704b\">10.1039/d4ta00704b</a>","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={<a href=\"https://doi.org/10.1039/d4ta00704b\">10.1039/d4ta00704b</a>}, 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} }"},"publication":"Journal of Materials Chemistry A","issue":"12"},{"has_accepted_license":"1","status":"public","volume":14,"user_id":"49504","ddc":["670"],"publisher":"MDPI AG","_id":"57699","quality_controlled":"1","citation":{"mla":"Chalicheemalapalli Jayasankar, Deviprasad, et al. “Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling.” <i>Metals</i>, vol. 14, no. 12, 1353, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>.","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. <i>Metals</i>. 2024;14(12). doi:<a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>","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={<a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>}, 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} }","apa":"Chalicheemalapalli Jayasankar, D., Gnaase, S., Lehnert, D., Walter, A., Rohling, R., &#38; Tröster, T. (2024). Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling. <i>Metals</i>, <i>14</i>(12), Article 1353. <a href=\"https://doi.org/10.3390/met14121353\">https://doi.org/10.3390/met14121353</a>","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,” <i>Metals</i>, vol. 14, no. 12, Art. no. 1353, 2024, doi: <a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>.","short":"D. Chalicheemalapalli Jayasankar, S. Gnaase, D. Lehnert, A. Walter, R. Rohling, T. Tröster, Metals 14 (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.” <i>Metals</i> 14, no. 12 (2024). <a href=\"https://doi.org/10.3390/met14121353\">https://doi.org/10.3390/met14121353</a>."},"oa":"1","article_type":"original","intvolume":"        14","publication_status":"published","date_updated":"2026-03-20T08:44:28Z","publication_identifier":{"issn":["2075-4701"]},"author":[{"last_name":"Chalicheemalapalli Jayasankar","first_name":"Deviprasad","orcid":"https://orcid.org/ 0000-0002-3446-2444","full_name":"Chalicheemalapalli Jayasankar, Deviprasad","id":"49504"},{"full_name":"Gnaase, Stefan","last_name":"Gnaase","first_name":"Stefan","id":"25730"},{"first_name":"Dennis","last_name":"Lehnert","full_name":"Lehnert, Dennis","id":"90491"},{"full_name":"Walter, Artur","first_name":"Artur","last_name":"Walter"},{"full_name":"Rohling, Robin","last_name":"Rohling","first_name":"Robin"},{"id":"553","full_name":"Tröster, Thomas","last_name":"Tröster","first_name":"Thomas"}],"year":"2024","title":"Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling","doi":"10.3390/met14121353","language":[{"iso":"eng"}],"article_number":"1353","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2075-4701/14/12/1353"}],"abstract":[{"lang":"eng","text":"<jats:p>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.</jats:p>"}],"publication":"Metals","issue":"12","department":[{"_id":"321"},{"_id":"149"},{"_id":"9"}],"keyword":["additive manufacturing","direct energy deposition","laser metal deposition"],"type":"journal_article","date_created":"2024-12-10T12:13:23Z"},{"volume":14,"user_id":"49504","publisher":"MDPI AG","_id":"56089","status":"public","oa":"1","quality_controlled":"1","citation":{"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={<a href=\"https://doi.org/10.3390/met14070772\">10.3390/met14070772</a>}, 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.” <i>Metals</i> 14, no. 7 (2024). <a href=\"https://doi.org/10.3390/met14070772\">https://doi.org/10.3390/met14070772</a>.","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. <i>Metals</i>. 2024;14(7). doi:<a href=\"https://doi.org/10.3390/met14070772\">10.3390/met14070772</a>","short":"D. Chalicheemalapalli Jayasankar, S. Gnaase, M.A. Kaiser, D. Lehnert, T. Tröster, Metals 14 (2024).","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,” <i>Metals</i>, vol. 14, no. 7, Art. no. 772, 2024, doi: <a href=\"https://doi.org/10.3390/met14070772\">10.3390/met14070772</a>.","mla":"Chalicheemalapalli Jayasankar, Deviprasad, et al. “Advancements in Hybrid Additive Manufacturing: Integrating SLM and LMD for High-Performance Applications.” <i>Metals</i>, vol. 14, no. 7, 772, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/met14070772\">10.3390/met14070772</a>.","apa":"Chalicheemalapalli Jayasankar, D., Gnaase, S., Kaiser, M. A., Lehnert, D., &#38; Tröster, T. (2024). Advancements in Hybrid Additive Manufacturing: Integrating SLM and LMD for High-Performance Applications. <i>Metals</i>, <i>14</i>(7), Article 772. <a href=\"https://doi.org/10.3390/met14070772\">https://doi.org/10.3390/met14070772</a>"},"doi":"10.3390/met14070772","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2075-4701/14/7/772"}],"article_number":"772","intvolume":"        14","article_type":"original","date_updated":"2026-03-20T08:44:23Z","publication_status":"published","publication_identifier":{"issn":["2075-4701"]},"author":[{"id":"49504","first_name":"Deviprasad","orcid":"https://orcid.org/ 0000-0002-3446-2444","last_name":"Chalicheemalapalli Jayasankar","full_name":"Chalicheemalapalli Jayasankar, Deviprasad"},{"id":"25730","full_name":"Gnaase, Stefan","first_name":"Stefan","last_name":"Gnaase"},{"id":"72351","first_name":"Maximilian Alexander","last_name":"Kaiser","orcid":"0009-0008-1333-3396","full_name":"Kaiser, Maximilian Alexander"},{"last_name":"Lehnert","first_name":"Dennis","full_name":"Lehnert, Dennis","id":"90491"},{"id":"553","last_name":"Tröster","first_name":"Thomas","full_name":"Tröster, Thomas"}],"year":"2024","title":"Advancements in Hybrid Additive Manufacturing: Integrating SLM and LMD for High-Performance Applications","department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"keyword":["additive manufacturing (AM)","selective laser melting (SLM)","laser metal deposition (LMD)","hybrid manufacturing","process optimization","316L","1.2709"],"type":"journal_article","date_created":"2024-09-10T10:19:32Z","abstract":[{"lang":"eng","text":"<jats:p>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.</jats:p>"}],"issue":"7","publication":"Metals"},{"date_updated":"2026-05-08T12:57:33Z","publication_status":"published","publication_identifier":{"isbn":["9783763977253"]},"author":[{"last_name":"Pauls","first_name":"Karina","full_name":"Pauls, Karina","id":"78235"},{"full_name":"Musehold, Thomas","last_name":"Musehold","first_name":"Thomas"}],"year":"2024","title":"3D-Druck in Kunst und Lehre - Thomas Musehold und Karina Pauls im Gespräch","status":"public","editor":[{"full_name":"Pauls, Karina","first_name":"Karina","last_name":"Pauls"}],"user_id":"78235","language":[{"iso":"ger"}],"_id":"65592","citation":{"chicago":"Pauls, Karina, and Thomas Musehold. “3D-Druck in Kunst und Lehre - Thomas Musehold und Karina Pauls im Gespräch.” In <i>Schnittstelle Kunstunterricht: Skulptur - Material - Prozess</i>, edited by Karina Pauls, 2024.","short":"K. Pauls, T. Musehold, in: K. Pauls (Ed.), Schnittstelle Kunstunterricht: Skulptur - Material - Prozess, 2024.","ieee":"K. Pauls and T. Musehold, “3D-Druck in Kunst und Lehre - Thomas Musehold und Karina Pauls im Gespräch,” in <i>Schnittstelle Kunstunterricht: Skulptur - Material - Prozess</i>, K. Pauls, Ed. 2024.","apa":"Pauls, K., &#38; Musehold, T. (2024). 3D-Druck in Kunst und Lehre - Thomas Musehold und Karina Pauls im Gespräch. In K. Pauls (Ed.), <i>Schnittstelle Kunstunterricht: Skulptur - Material - Prozess</i>.","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} }","ama":"Pauls K, Musehold T. 3D-Druck in Kunst und Lehre - Thomas Musehold und Karina Pauls im Gespräch. In: Pauls K, ed. <i>Schnittstelle Kunstunterricht: Skulptur - Material - Prozess</i>. ; 2024.","mla":"Pauls, Karina, and Thomas Musehold. “3D-Druck in Kunst und Lehre - Thomas Musehold und Karina Pauls im Gespräch.” <i>Schnittstelle Kunstunterricht: Skulptur - Material - Prozess</i>, edited by Karina Pauls, 2024."},"publication":"Schnittstelle Kunstunterricht: Skulptur - Material - Prozess","type":"book_chapter","date_created":"2026-05-08T12:57:17Z"},{"abstract":[{"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.","lang":"eng"}],"issue":"4","publication":"Journal of Manufacturing and Materials Processing","department":[{"_id":"157"}],"type":"journal_article","date_created":"2025-04-15T11:07:52Z","intvolume":"         8","date_updated":"2026-05-13T13:53:29Z","publication_status":"published","author":[{"first_name":"Johannes","last_name":"Friedlein","full_name":"Friedlein, Johannes"},{"first_name":"Max","last_name":"Böhnke","full_name":"Böhnke, Max","id":"45779"},{"id":"61977","first_name":"Malte Christian","last_name":"Schlichter","full_name":"Schlichter, Malte Christian"},{"full_name":"Bobbert, Mathias","first_name":"Mathias","last_name":"Bobbert","id":"7850"},{"id":"32056","full_name":"Meschut, Gerson","last_name":"Meschut","first_name":"Gerson","orcid":"0000-0002-2763-1246"},{"first_name":"Julia","last_name":"Mergheim","full_name":"Mergheim, Julia"},{"first_name":"Paul","last_name":"Steinmann","full_name":"Steinmann, Paul"}],"publication_identifier":{"issn":["2504-4494"]},"year":"2024","title":"Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining","doi":"10.3390/jmmp8040157","language":[{"iso":"eng"}],"article_number":"157","project":[{"_id":"131","name":"TRR 285 - A: TRR 285 - Project Area A"},{"name":"TRR 285 – A01: TRR 285 - Subproject A01","_id":"135"},{"_id":"130","name":"TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"}],"quality_controlled":"1","citation":{"ieee":"J. Friedlein <i>et al.</i>, “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining,” <i>Journal of Manufacturing and Materials Processing</i>, vol. 8, no. 4, Art. no. 157, 2024, doi: <a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>.","apa":"Friedlein, J., Böhnke, M., Schlichter, M. C., Bobbert, M., Meschut, G., Mergheim, J., &#38; Steinmann, P. (2024). Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining. <i>Journal of Manufacturing and Materials Processing</i>, <i>8</i>(4), Article 157. <a href=\"https://doi.org/10.3390/jmmp8040157\">https://doi.org/10.3390/jmmp8040157</a>","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.” <i>Journal of Manufacturing and Materials Processing</i> 8, no. 4 (2024). <a href=\"https://doi.org/10.3390/jmmp8040157\">https://doi.org/10.3390/jmmp8040157</a>.","short":"J. Friedlein, M. Böhnke, M.C. Schlichter, M. Bobbert, G. Meschut, J. Mergheim, P. Steinmann, Journal of Manufacturing and Materials Processing 8 (2024).","mla":"Friedlein, Johannes, et al. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” <i>Journal of Manufacturing and Materials Processing</i>, vol. 8, no. 4, 157, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>.","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={<a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>}, 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} }","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. <i>Journal of Manufacturing and Materials Processing</i>. 2024;8(4). doi:<a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>"},"status":"public","volume":8,"user_id":"61977","publisher":"MDPI AG","_id":"59585"},{"date_created":"2026-07-03T21:12:22Z","type":"conference","citation":{"mla":"Malcher, Jannik, et al. “Language-Based Deployment Optimization for Random Forests (Invited Paper).” <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>, ACM, 2024, doi:<a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>.","bibtex":"@inproceedings{Malcher_Biebert_Chen_Buschjäger_Hakert_Chen_2024, title={Language-Based Deployment Optimization for Random Forests (Invited Paper)}, DOI={<a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>}, 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} }","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: <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>. ACM; 2024. doi:<a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>","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: <a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>.","apa":"Malcher, J., Biebert, D., Chen, K.-H., Buschjäger, S., Hakert, C., &#38; Chen, J.-J. (2024). Language-Based Deployment Optimization for Random Forests (Invited Paper). <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>. <a href=\"https://doi.org/10.1145/3652032.3659366\">https://doi.org/10.1145/3652032.3659366</a>","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 <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>. ACM, 2024. <a href=\"https://doi.org/10.1145/3652032.3659366\">https://doi.org/10.1145/3652032.3659366</a>.","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."},"publication":"Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems","publisher":"ACM","_id":"66172","doi":"10.1145/3652032.3659366","user_id":"128464","author":[{"last_name":"Malcher","first_name":"Jannik","full_name":"Malcher, Jannik"},{"full_name":"Biebert, Daniel","last_name":"Biebert","first_name":"Daniel"},{"first_name":"Kuan-Hsun","last_name":"Chen","full_name":"Chen, Kuan-Hsun"},{"last_name":"Buschjäger","first_name":"Sebastian","full_name":"Buschjäger, Sebastian"},{"full_name":"Hakert, Christian","last_name":"Hakert","first_name":"Christian"},{"last_name":"Chen","first_name":"Jian-Jia","full_name":"Chen, Jian-Jia"}],"title":"Language-Based Deployment Optimization for Random Forests (Invited Paper)","status":"public","year":"2024","date_updated":"2026-07-05T14:48:11Z","publication_status":"published"},{"_id":"66174","date_created":"2026-07-03T21:12:50Z","doi":"10.48550/ARXIV.2404.06846","type":"journal_article","user_id":"128464","citation":{"short":"(2024).","chicago":"“Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation,” 2024. <a href=\"https://doi.org/10.48550/ARXIV.2404.06846\">https://doi.org/10.48550/ARXIV.2404.06846</a>.","ieee":"“Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation,” 2024, doi: <a href=\"https://doi.org/10.48550/ARXIV.2404.06846\">10.48550/ARXIV.2404.06846</a>.","apa":"<i>Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation</i>. (2024). <a href=\"https://doi.org/10.48550/ARXIV.2404.06846\">https://doi.org/10.48550/ARXIV.2404.06846</a>","bibtex":"@article{Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation_2024, DOI={<a href=\"https://doi.org/10.48550/ARXIV.2404.06846\">10.48550/ARXIV.2404.06846</a>}, year={2024} }","ama":"Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation. Published online 2024. doi:<a href=\"https://doi.org/10.48550/ARXIV.2404.06846\">10.48550/ARXIV.2404.06846</a>","mla":"<i>Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation</i>. 2024, doi:<a href=\"https://doi.org/10.48550/ARXIV.2404.06846\">10.48550/ARXIV.2404.06846</a>."},"year":"2024","status":"public","title":"Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation","date_updated":"2026-07-05T14:48:15Z"},{"department":[{"_id":"101"},{"_id":"655"}],"type":"journal_article","date_created":"2021-02-10T07:04:15Z","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."}],"publication":"Automatica","doi":"10.1016/j.automatica.2022.110840","language":[{"iso":"eng"}],"article_number":"110840","main_file_link":[{"open_access":"1","url":"https://www.sciencedirect.com/science/article/pii/S0005109822007075/pdfft?isDTMRedir=true&download=true"}],"intvolume":"       149","publication_status":"published","date_updated":"2023-01-07T12:01:58Z","author":[{"id":"47427","full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","first_name":"Sebastian","last_name":"Peitz"},{"id":"32829","first_name":"Katharina","last_name":"Bieker","full_name":"Bieker, Katharina"}],"title":"On the Universal Transformation of Data-Driven Models to Control Systems","year":"2023","oa":"1","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"citation":{"bibtex":"@article{Peitz_Bieker_2023, title={On the Universal Transformation of Data-Driven Models to Control Systems}, volume={149}, DOI={<a href=\"https://doi.org/10.1016/j.automatica.2022.110840\">10.1016/j.automatica.2022.110840</a>}, number={110840}, journal={Automatica}, publisher={Elsevier}, author={Peitz, Sebastian and Bieker, Katharina}, year={2023} }","ama":"Peitz S, Bieker K. On the Universal Transformation of Data-Driven Models to Control Systems. <i>Automatica</i>. 2023;149. doi:<a href=\"https://doi.org/10.1016/j.automatica.2022.110840\">10.1016/j.automatica.2022.110840</a>","mla":"Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of Data-Driven Models to Control Systems.” <i>Automatica</i>, vol. 149, 110840, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.automatica.2022.110840\">10.1016/j.automatica.2022.110840</a>.","short":"S. Peitz, K. Bieker, Automatica 149 (2023).","chicago":"Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of Data-Driven Models to Control Systems.” <i>Automatica</i> 149 (2023). <a href=\"https://doi.org/10.1016/j.automatica.2022.110840\">https://doi.org/10.1016/j.automatica.2022.110840</a>.","ieee":"S. Peitz and K. Bieker, “On the Universal Transformation of Data-Driven Models to Control Systems,” <i>Automatica</i>, vol. 149, Art. no. 110840, 2023, doi: <a href=\"https://doi.org/10.1016/j.automatica.2022.110840\">10.1016/j.automatica.2022.110840</a>.","apa":"Peitz, S., &#38; Bieker, K. (2023). On the Universal Transformation of Data-Driven Models to Control Systems. <i>Automatica</i>, <i>149</i>, Article 110840. <a href=\"https://doi.org/10.1016/j.automatica.2022.110840\">https://doi.org/10.1016/j.automatica.2022.110840</a>"},"volume":149,"user_id":"47427","publisher":"Elsevier","_id":"21199","status":"public"},{"status":"public","page":"25-48","_id":"35428","publisher":"MDPI AG","user_id":"16148","volume":3,"citation":{"apa":"Möller, M. C., &#38; Krauter, S. (2023). Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink. <i>Solar</i>, <i>3</i>(1), 25–48. <a href=\"https://doi.org/10.3390/solar3010003\">https://doi.org/10.3390/solar3010003</a>","mla":"Möller, Marius Claus, and Stefan Krauter. “Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.” <i>Solar</i>, vol. 3, no. 1, MDPI AG, 2023, pp. 25–48, doi:<a href=\"https://doi.org/10.3390/solar3010003\">10.3390/solar3010003</a>.","ieee":"M. C. Möller and S. Krauter, “Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink,” <i>Solar</i>, vol. 3, no. 1, pp. 25–48, 2023, doi: <a href=\"https://doi.org/10.3390/solar3010003\">10.3390/solar3010003</a>.","short":"M.C. Möller, S. Krauter, Solar 3 (2023) 25–48.","ama":"Möller MC, Krauter S. Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink. <i>Solar</i>. 2023;3(1):25-48. doi:<a href=\"https://doi.org/10.3390/solar3010003\">10.3390/solar3010003</a>","chicago":"Möller, Marius Claus, and Stefan Krauter. “Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.” <i>Solar</i> 3, no. 1 (2023): 25–48. <a href=\"https://doi.org/10.3390/solar3010003\">https://doi.org/10.3390/solar3010003</a>.","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={<a href=\"https://doi.org/10.3390/solar3010003\">10.3390/solar3010003</a>}, number={1}, journal={Solar}, publisher={MDPI AG}, author={Möller, Marius Claus and Krauter, Stefan}, year={2023}, pages={25–48} }"},"quality_controlled":"1","year":"2023","title":"Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink","author":[{"id":"72391","first_name":"Marius Claus","last_name":"Möller","full_name":"Möller, Marius Claus"},{"orcid":"0000-0002-3594-260X","last_name":"Krauter","first_name":"Stefan","full_name":"Krauter, Stefan","id":"28836"}],"publication_identifier":{"issn":["2673-9941"]},"date_updated":"2023-01-09T06:36:10Z","publication_status":"published","intvolume":"         3","language":[{"iso":"eng"}],"doi":"10.3390/solar3010003","publication":"Solar","issue":"1","abstract":[{"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","lang":"eng"}],"date_created":"2023-01-09T06:35:00Z","type":"journal_article","department":[{"_id":"53"}]},{"doi":"10.1021/acs.nanolett.2c03579","language":[{"iso":"eng"}],"date_updated":"2023-10-11T09:06:31Z","publication_status":"published","intvolume":"        23","article_type":"original","year":"2023","title":"Impact of 3D Curvature on the Polarization Orientation in Non-Ising Domain Walls","author":[{"last_name":"Acevedo-Salas","first_name":"Ulises","full_name":"Acevedo-Salas, Ulises"},{"first_name":"Boris","last_name":"Croes","full_name":"Croes, Boris"},{"full_name":"Zhang, Yide","last_name":"Zhang","first_name":"Yide"},{"first_name":"Olivier","last_name":"Cregut","full_name":"Cregut, Olivier"},{"full_name":"Dorkenoo, Kokou Dodzi","last_name":"Dorkenoo","first_name":"Kokou Dodzi"},{"full_name":"Kirbus, Benjamin","last_name":"Kirbus","first_name":"Benjamin"},{"last_name":"Singh","first_name":"Ekta","full_name":"Singh, Ekta"},{"last_name":"Beccard","first_name":"Henrik","full_name":"Beccard, Henrik"},{"full_name":"Rüsing, Michael","orcid":"0000-0003-4682-4577","last_name":"Rüsing","first_name":"Michael","id":"22501"},{"last_name":"Eng","first_name":"Lukas M.","full_name":"Eng, Lukas M."},{"full_name":"Hertel, Riccardo","first_name":"Riccardo","last_name":"Hertel"},{"full_name":"Eliseev, Eugene A.","last_name":"Eliseev","first_name":"Eugene A."},{"last_name":"Morozovska","first_name":"Anna N.","full_name":"Morozovska, Anna N."},{"full_name":"Cherifi-Hertel, Salia","last_name":"Cherifi-Hertel","first_name":"Salia"}],"publication_identifier":{"issn":["1530-6984","1530-6992"]},"type":"journal_article","keyword":["Mechanical Engineering","Condensed Matter Physics","General Materials Science","General Chemistry","Bioengineering"],"date_created":"2023-10-11T09:06:05Z","abstract":[{"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.","lang":"eng"}],"extern":"1","publication":"Nano Letters","issue":"3","user_id":"22501","volume":23,"page":"795-803","_id":"47992","publisher":"American Chemical Society (ACS)","status":"public","quality_controlled":"1","citation":{"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.","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.” <i>Nano Letters</i> 23, no. 3 (2023): 795–803. <a href=\"https://doi.org/10.1021/acs.nanolett.2c03579\">https://doi.org/10.1021/acs.nanolett.2c03579</a>.","ieee":"U. Acevedo-Salas <i>et al.</i>, “Impact of 3D Curvature on the Polarization Orientation in Non-Ising Domain Walls,” <i>Nano Letters</i>, vol. 23, no. 3, pp. 795–803, 2023, doi: <a href=\"https://doi.org/10.1021/acs.nanolett.2c03579\">10.1021/acs.nanolett.2c03579</a>.","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., &#38; Cherifi-Hertel, S. (2023). Impact of 3D Curvature on the Polarization Orientation in Non-Ising Domain Walls. <i>Nano Letters</i>, <i>23</i>(3), 795–803. <a href=\"https://doi.org/10.1021/acs.nanolett.2c03579\">https://doi.org/10.1021/acs.nanolett.2c03579</a>","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={<a href=\"https://doi.org/10.1021/acs.nanolett.2c03579\">10.1021/acs.nanolett.2c03579</a>}, 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} }","ama":"Acevedo-Salas U, Croes B, Zhang Y, et al. Impact of 3D Curvature on the Polarization Orientation in Non-Ising Domain Walls. <i>Nano Letters</i>. 2023;23(3):795-803. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.2c03579\">10.1021/acs.nanolett.2c03579</a>","mla":"Acevedo-Salas, Ulises, et al. “Impact of 3D Curvature on the Polarization Orientation in Non-Ising Domain Walls.” <i>Nano Letters</i>, vol. 23, no. 3, American Chemical Society (ACS), 2023, pp. 795–803, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.2c03579\">10.1021/acs.nanolett.2c03579</a>."}},{"series_title":"FOGA ’23","language":[{"iso":"eng"}],"doi":"10.1145/3594805.3607136","year":"2023","title":"Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features","author":[{"full_name":"Prager, Raphael Patrick","last_name":"Prager","first_name":"Raphael Patrick"},{"first_name":"Konstantin","last_name":"Dietrich","full_name":"Dietrich, Konstantin"},{"full_name":"Schneider, Lennart","last_name":"Schneider","first_name":"Lennart"},{"first_name":"Lennart","last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart"},{"last_name":"Bischl","first_name":"Bernd","full_name":"Bischl, Bernd"},{"last_name":"Kerschke","first_name":"Pascal","full_name":"Kerschke, Pascal"},{"first_name":"Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","full_name":"Trautmann, Heike","id":"100740"},{"last_name":"Mersmann","first_name":"Olaf","full_name":"Mersmann, Olaf"}],"publication_identifier":{"isbn":["9798400702020"]},"date_updated":"2023-10-16T12:33:02Z","date_created":"2023-09-27T15:43:17Z","type":"conference","keyword":["Benchmarking","Instance Generator","Black-Box Continuous Optimization","Exploratory Landscape Analysis","Neural Networks"],"department":[{"_id":"34"},{"_id":"819"}],"publication":"Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms","abstract":[{"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.","lang":"eng"}],"page":"129–139","_id":"47522","publisher":"Association for Computing Machinery","user_id":"15504","status":"public","place":"New York, NY, USA","citation":{"apa":"Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., &#38; Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, 129–139. <a href=\"https://doi.org/10.1145/3594805.3607136\">https://doi.org/10.1145/3594805.3607136</a>","ieee":"R. P. Prager <i>et al.</i>, “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features,” in <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, 2023, pp. 129–139, doi: <a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>.","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 <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.1145/3594805.3607136\">https://doi.org/10.1145/3594805.3607136</a>.","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.","mla":"Prager, Raphael Patrick, et al. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, Association for Computing Machinery, 2023, pp. 129–139, doi:<a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>.","ama":"Prager RP, Dietrich K, Schneider L, et al. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. In: <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>. FOGA ’23. Association for Computing Machinery; 2023:129–139. doi:<a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>","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={<a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>}, 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} }"}},{"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."}],"publication":"Applications of Evolutionary Computation","citation":{"mla":"Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” <i>Applications of Evolutionary Computation</i>, edited by João Correia et al., Springer Nature Switzerland, 2023, pp. 411–425.","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} }","ama":"Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. <i>Applications of Evolutionary Computation</i>. Springer Nature Switzerland; 2023:411–425.","ieee":"R. P. Prager and H. Trautmann, “Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features,” in <i>Applications of Evolutionary Computation</i>, 2023, pp. 411–425.","apa":"Prager, R. P., &#38; Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith, &#38; R. Qaddoura (Eds.), <i>Applications of Evolutionary Computation</i> (pp. 411–425). Springer Nature Switzerland.","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.","chicago":"Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In <i>Applications of Evolutionary Computation</i>, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023."},"type":"conference","department":[{"_id":"819"},{"_id":"34"}],"date_created":"2023-08-04T06:54:22Z","place":"Cham","date_updated":"2023-10-16T12:36:45Z","status":"public","year":"2023","title":"Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features","author":[{"first_name":"Raphael Patrick","last_name":"Prager","full_name":"Prager, Raphael Patrick"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","first_name":"Heike","orcid":"0000-0002-9788-8282","id":"100740"}],"publication_identifier":{"isbn":["978-3-031-30229-9"]},"user_id":"15504","editor":[{"last_name":"Correia","first_name":"João","full_name":"Correia, João"},{"last_name":"Smith","first_name":"Stephen","full_name":"Smith, Stephen"},{"first_name":"Raneem","last_name":"Qaddoura","full_name":"Qaddoura, Raneem"}],"page":"411–425","_id":"46297","publisher":"Springer Nature Switzerland","language":[{"iso":"eng"}]},{"department":[{"_id":"819"},{"_id":"34"}],"type":"conference","place":"Cham","date_created":"2023-08-04T06:56:10Z","abstract":[{"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.","lang":"eng"}],"citation":{"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} }","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. <i>Evolutionary Multi-Criterion Optimization</i>. Springer Nature Switzerland; 2023:291–304.","mla":"Schäpermeier, Lennart, et al. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” <i>Evolutionary Multi-Criterion Optimization</i>, 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.","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 <i>Evolutionary Multi-Criterion Optimization</i>, 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 <i>Evolutionary Multi-Criterion Optimization</i>, 2023, pp. 291–304.","apa":"Schäpermeier, L., Kerschke, P., Grimme, C., &#38; 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, &#38; I. Yevseyeva (Eds.), <i>Evolutionary Multi-Criterion Optimization</i> (pp. 291–304). Springer Nature Switzerland."},"publication":"Evolutionary Multi-Criterion Optimization","editor":[{"first_name":"Michael","last_name":"Emmerich","full_name":"Emmerich, Michael"},{"last_name":"Deutz","first_name":"André","full_name":"Deutz, André"},{"full_name":"Wang, Hao","first_name":"Hao","last_name":"Wang"},{"last_name":"Kononova","first_name":"Anna V.","full_name":"Kononova, Anna V."},{"full_name":"Naujoks, Boris","first_name":"Boris","last_name":"Naujoks"},{"full_name":"Li, Ke","last_name":"Li","first_name":"Ke"},{"full_name":"Miettinen, Kaisa","first_name":"Kaisa","last_name":"Miettinen"},{"first_name":"Iryna","last_name":"Yevseyeva","full_name":"Yevseyeva, Iryna"}],"user_id":"15504","_id":"46298","publisher":"Springer Nature Switzerland","language":[{"iso":"eng"}],"page":"291–304","date_updated":"2023-10-16T12:36:17Z","publication_identifier":{"isbn":["978-3-031-27250-9"]},"author":[{"first_name":"Lennart","last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart"},{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"full_name":"Grimme, Christian","first_name":"Christian","last_name":"Grimme"},{"full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","id":"100740"}],"title":"Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets","year":"2023","status":"public"}]