PhoenixD Forschung
Publikationen

Publikationen im Rahmen des Exzellenzclusters PhoenixD

Die Forschungsleistung des Exzellenzclusters PhoenixD zeigt sich in den zahlreichen Publikationen, die seit 2019 veröffentlicht wurden. Eine kontinuierlich aktualisierte Übersicht finden Sie auf dieser Seite. In externen Publikationsportalen können Sie nach Veröffentlichungen mit der Identifikationsnummer (Project-ID) 390833453 und dem Kürzel EXC-2122 suchen.

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2022


Bose, S., Melchert, O., Willms, S., Babushkin, I., Morgner, U., Demircan, A., & Agrawal, G. (2022). Impact of frequency-dependent nonlinearity on soliton trajectory in microstructured optical fiber. In 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings Artikel SW5K.4 (2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1364/CLEO_SI.2022.SW5K.4
Brunotte, W., Nagel, L., Schneider, K., & Klünder, J. A.-C. (2022). How to Identify Changing Contexts of Use with Creativity Workshops: An Experience Report. In C. Ardito, R. Lanzilotti, A. Malizia, M. Larusdottir, L. D. Spano, J. Campos, M. Hertzum, T. Mentler, J. Abdelnour Nocera, L. Piccolo, S. Sauer, & G. van der Veer (Hrsg.), Sense, Feel, Design: INTERACT 2021 IFIP TC 13 Workshops, Revised Selected Papers (S. 88-97). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13198 LNCS). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-98388-8_9
Brunotte, W., Chazette, L., Klös, V., & Speith, T. (2022). Quo Vadis, Explainability? A Research Roadmap for Explainability Engineering. In V. Gervasi, & A. Vogelsang (Hrsg.), Requirements Engineering: Foundation for Software Quality : 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings (S. 26-32). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13216 LNCS). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-98464-9_3
Brunotte, W., Chazette, L., Köhler, L., Klünder, J. A.-C., & Schneider, K. (2022). What About My Privacy? Helping Users Understand Online Privacy Policies. In Proceedings - 2022 IEEE/ACM Joint 16th International Conferenceon Software and System Processes and 17th ACM/IEEE International Conference on Global Software Engineering, ICSSP/ICGSE 2022: ICSSP'22 (S. 56–65). (ACM International Conference Proceeding Series). ACM DL. https://doi.org/10.1145/3529320.3529327
Bühre, L. V., Bullerdiek, S., Trinke, P., Bensmann, B., Deutsch, A. L. E. R., Behrens, P., & Hanke-Rauschenbach, R. (2022). Application and Analysis of a Salt Bridge Reference Electrode Setup for PEM Water Electrolysis: Towards an Extended Voltage Loss Break Down. Journal of the Electrochemical Society, 169(12), Artikel 124513. https://doi.org/10.1149/1945-7111/ac9ee1
Chazette, L., Brunotte, W., & Speith, T. (2022). Explainable Software Systems: From Requirements Analysis to System Evaluation. Requirements Engineering, 27(4), 457-487. https://doi.org/10.1007/s00766-022-00393-5
Christ, H. A., Ang, P. Y., Li, F., Johannes, H. H., Kowalsky, W., & Menzel, H. (2022). Production of highly aligned microfiber bundles from polymethyl methacrylate via stable jet electrospinning for organic solid-state lasers. Journal of Polymer Science, 60(4), 715-725. https://doi.org/10.1002/pol.20210747
Dai, Z., Wolf, A., Ley, P. P., Glück, T., Sundermeier, M. C., & Lachmayer, R. (2022). Requirements for Automotive LiDAR Systems. Sensors, 22(19), Artikel 7532. https://doi.org/10.3390/s22197532
Doll-Nikutta, K., Winkel, A., Yang, I., Grote, A. J., Meier, N., Habib, M., Menzel, H., Behrens, P., & Stiesch, M. (2022). Adhesion Forces of Oral Bacteria to Titanium and the Correlation with Biophysical Cellular Characteristics. Bioengineering, 9(10), Artikel 567. https://doi.org/10.3390/bioengineering9100567
Faustmann, M., Melenk, J. M., & Parvizi, M. (2022). Caccioppoli-type estimates and H -matrix approximations to inverses for FEM-BEM couplings. Numerische Mathematik, 150(3), 849-892. https://doi.org/10.48550/arXiv.2008.11498, https://doi.org/10.1007/s00211-021-01261-0
Faustmann, M., Melenk, J. M., & Parvizi, M. (2022). H -matrix approximability of inverses of FEM matrices for the time-harmonic Maxwell equations. Advances in Computational Mathematics, 48(5), Artikel 59. https://doi.org/10.48550/arXiv.2103.14981, https://doi.org/10.1007/s10444-022-09965-z
Fedorov Kukk, A., Wu, D., Gaffal, E., Panzer, R., Emmert, S., & Roth, B. (2022). Multimodal system for optical biopsy of melanoma with integrated ultrasound, optical coherence tomography and Raman spectroscopy. Journal of Biophotonics, 15(10), Artikel e202200129. https://doi.org/10.1002/jbio.202200129
Fedorov Kukk, A., Blumenröther, E., & Roth, B. (2022). Self-made transparent optoacoustic detector for measurement of skin lesion thickness in vivo. Biomedical Physics and Engineering Express, 8(3), Artikel 035029. https://doi.org/10.1088/2057-1976/ac669b
Fricke, S., Caspary, R., Castillo, S., & Magnor, M. (2022). Adaptive Gaussian Points for Faster and Better Computer-Generated Holograms. In Digital Holography and Three-Dimensional Imaging, DH 2022 Artikel W3A.4 (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/DH.2022.W3A.4
Fricke, S., Caspary, R., Castillo, S., & Magnor, M. (2022). GPU-Accelerated Point-Based Holograms. In Frontiers in Optics + Laser Science: FiO 2022 Artikel JW4B.53 (Technical Digest Series; Nr. paper JW4B.53). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/FIO.2022.JW4B.53
Godin, T., Sader, L., Khodadad Kashi, A., Hanzard, P. H., Hideur, A., Moss, D. J., Morandotti, R., Genty, G., Dudley, J. M., Pasquazi, A., Kues, M., & Wetzel, B. (2022). Recent advances on time-stretch dispersive Fourier transform and its applications. Advances in Physics: X, 7(1), Artikel 2067487. https://doi.org/10.1080/23746149.2022.2067487
Graf, R. T., Schlosser, A., Zámbó, D., Schlenkrich, J., Rusch, P., Chatterjee, A., Pfnür, H., & Bigall, N. C. (2022). Interparticle Distance Variation in Semiconductor Nanoplatelet Stacks. Advanced functional materials, 32(24), Artikel 2112621. https://doi.org/10.1002/adfm.202112621
Günther, A., Baran, M., Garg, R., Roth, B., & Kowalsky, W. (2022). Analysis of the thermal behavior of self-written waveguides. Optics and lasers in engineering, 151, Artikel 106922. https://doi.org/10.1016/j.optlaseng.2021.106922
Günther, A., Kushwaha, K., Baran, M., Rüsseler, A. K., Carstens, F., Ristau, D., Kowalsky, W., & Roth, B. (2022). Self-written waveguides as low-loss interconnections and sensing elements. In S. M. Garcia-Blanco, & P. Cheben (Hrsg.), Integrated Optics: Devices, Materials, and Technologies XXVI Artikel 1200412 (Proceedings of SPIE - The International Society for Optical Engineering; Band 12004). SPIE. https://doi.org/10.1117/12.2611336
Günther, A., Korat, D., Kapadia, K., Roth, B., & Kowalsky, W. (2022). VCSELs as highly sensitive stand-alone distance sensors. In C. Lei, K. D. Choquette, & L. A. Graham (Hrsg.), Vertical-Cavity Surface-Emitting Lasers XXVI Artikel 120200H (Proceedings of SPIE - The International Society for Optical Engineering; Band 12020). SPIE. https://doi.org/10.1117/12.2611352