Wu, X., Kenter, T., Schade, R., Kühne, T., &; Plessl, C. (2023). Computing and Compressing Electron Repulsion Integrals on FPGAs. 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 162–173.https://doi.org/10.1109/FCCM57271.2023.00026 

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., &; Plessl, C. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications, Article 109434202311776.https://doi.org/10.1177/10943420231177631 

Tornede, A. (2023). Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions.https://doi.org/10.17619/UNIPB/1-1780  

Kress, C., Schwabe, T., Silberhorn, C., &; Scheytt, J. C. (2023). Generation of 100 GHz Periodic Nyquist Pulses using Cascaded Mach-Zehnder Modulators in a Silicon Electronic-Photonic Platform. https://doi.org/10.1364/CLEO_SI.2023.SF1P.6__Conference on Lasers and Electro-Optics (CLEO) 2023.https://doi.org/10.1364/CLEO_SI.2023.SF1P.6__Conference on Lasers and Electro-Optics (CLEO), San Jose, CA, USA.https://doi.org/10.1364/CLEO_SI.2023.SF1P.6 

Offen, C., &; Ober-Blöbaum, S. (2023). Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves. In F. Nielsen &; F. Barbaresco (Eds.), Geometric Science of Information (Vol. 14071, pp. 569–579). Springer, Cham.https://doi.org/10.1007/978-3-031-38271-0_57 

Ober-Blöbaum, S., &; Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics, 421, 114780.https://doi.org/10.1016/j.cam.2022.114780 

Godlewsky, T., Jacke, C., Roenneke, S., &; Venker, T. (2023). Pop(musik)journalismen zwischen Printmagazin-Krise und postdigitaler Realität – Forschungsüberblick und multiperspektivische Thesen. In P. Moormann &; N. Ruth (Eds.), Musik und Internet. Aktuelle Phänomene populärer Kulturen. Springer Fachmedien Wiesbaden.https://doi.org/10.1007/978-3-658-39145-4_11 

Sprenger, A. (2023). Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-1787 

Geromel, R., Georgi, P., Protte, M., Bartley, T., Huang, L., &; Zentgraf, T. (2023). Dispersion control with integrated plasmonic metasurfaces. CLEO: Fundamental Science 2023, Article FTD.3. CLEO: Fundamental Science 2023, San Jose, USA.https://doi.org/10.1364/cleo_fs.2023.fth4d.3 

Ahmed, A. F. A., Firmansyah, A. F., Sherif, M., Moussallem, D., &; Ngonga Ngomo, A.-C. (2023). Explainable Integration of Knowledge Graphs Using Large Language Models. In Natural Language Processing and Information Systems. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-35320-8_9 

Sherif, M., Morim da Silva, A. A., Pestryakova, S., Ahmed, A. F. A., Niemann, S., &; Ngonga Ngomo, A.-C. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University.https://doi.org/10.5281/ZENODO.7560242 

Huang, J., Qiu, Y., Lücke, F., Su, J., Grundmeier, G., &; Keller, A. (2023). Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy. Molecules, 28(16), Article 6060.https://doi.org/10.3390/molecules28166060 

Gusmita, R. H., Firmansyah, A. F., Moussallem, D., &; Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In Natural Language Processing and Information Systems. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-35320-8_12 

Vochatzer, S. (2023). My first contact with the Foodsharing Initiative. In J. Bentz , Leibniz Insitute for Educational Media , &; Georg Eckert Institute (Eds.), Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art (p. 48). Leibniz Insitute for Educational Media, Georg Eckert Institute.

Peitz, S., Harder, H., Nüske, F., Philipp, F., Schaller, M., &; Worthmann, K. (2023). Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems. In arXiv:2307.15325.

Greiff, C., Mateos-Núñez, D., Simoni, R., González-Huici, M., Kruse, S., Scheytt, J. C., Kolk, K., Höller, C., Kurz, H. G., Meinecke, M.-M., &; Gisder, T. (2023). Calibration of Large Coherent MIMO Radar Arrays: Channel Imbalances and 3D Antenna Positions. 2023 24th International Radar Symposium (IRS). 2023 24th International Radar Symposium (IRS), Berlin, Germany.https://doi.org/10.23919/IRS57608.2023.10172475 

Nüske, F., Peitz, S., Philipp, F., Schaller, M., &; Worthmann, K. (2023). Finite-data error bounds for Koopman-based prediction and control. Journal of Nonlinear Science, 33, Article 14.https://doi.org/10.1007/s00332-022-09862-1 

Hotegni, S. S., Peitz, S., &; Berkemeier, M. B. (2023). Multi-Objective Optimization for Sparse Deep Neural Network Training. In arXiv:2308.12243.

Dellnitz, M., Hüllermeier, E., Lücke, M., Ober-Blöbaum, S., Offen, C., Peitz, S., &; Pfannschmidt, K. (2023). Efficient time stepping for numerical integration using reinforcement  learning. SIAM Journal on Scientific Computing, 45(2), 9–5.https://doi.org/10.1137/21M1412682 

Dahms, F., &; Homberg, W. (2023). Analysis and Modelling of the Deformation in the Manufacture of Flange-Contours by the Combined Friction-Spinning and Flow-Forming Process. In Lecture Notes in Mechanical Engineering. 14th International Conference on the Technology of Plasticity, 2023, Cannes, France. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-41023-9_72