@misc{50284, author = {{Stiballe, Alisa and Reimer, Jan Dennis and Sadeghi-Kohan, Somayeh and Hellebrand, Sybille}}, publisher = {{To appear: 37. ITG / GMM / GI -Workshop "Testmethoden und Zuverlässigkeit von Schaltungen und Systemen" (TuZ'24), Feb. 2024}}, title = {{{Modeling Crosstalk-induced Interconnect Delay with Polynomial Regression}}}, year = {{2024}}, } @article{36466, author = {{Becker, Rieke}}, journal = {{Österreichische Zeitschrift für Geschichtswissenschaften. Themenband „New Diplomatic History“}}, keywords = {{New Diplomatic History, Neue Diplomatiegeschichte}}, number = {{1}}, title = {{{Hilfst du mir, so hilfst du dir. Diplomatische Überzeugungsstrategien der Regentin Christine Charlotte von Ostfriesland gegenüber Kaiser Leopold I. im 17. Jahrhundert (erscheint 2024)}}}, volume = {{35}}, year = {{2024}}, } @inproceedings{50287, author = {{Kruse, Stephan and Schwabe, Tobias and Kneuper, Pascal and Kurz, Heiko G. and Meinecke, March-Michael and Scheytt, Christoph}}, booktitle = {{German Microwave Conference (GeMiC) }}, title = {{{Analysis and Simulation of a Photonic Multiband FMCW Radar Sensor System using Nyquist Pulses}}}, year = {{2024}}, } @article{50301, author = {{Schryen, Guido}}, journal = {{Journal of Parallel and Distributed Computing}}, title = {{{Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis}}}, year = {{2024}}, } @article{46469, abstract = {{We show how to learn discrete field theories from observational data of fields on a space-time lattice. For this, we train a neural network model of a discrete Lagrangian density such that the discrete Euler--Lagrange equations are consistent with the given training data. We, thus, obtain a structure-preserving machine learning architecture. Lagrangian densities are not uniquely defined by the solutions of a field theory. We introduce a technique to derive regularisers for the training process which optimise numerical regularity of the discrete field theory. Minimisation of the regularisers guarantees that close to the training data the discrete field theory behaves robust and efficient when used in numerical simulations. Further, we show how to identify structurally simple solutions of the underlying continuous field theory such as travelling waves. This is possible even when travelling waves are not present in the training data. This is compared to data-driven model order reduction based approaches, which struggle to identify suitable latent spaces containing structurally simple solutions when these are not present in the training data. Ideas are demonstrated on examples based on the wave equation and the Schrödinger equation. }}, author = {{Offen, Christian and Ober-Blöbaum, Sina}}, issn = {{1054-1500}}, journal = {{Chaos}}, number = {{1}}, publisher = {{AIP Publishing}}, title = {{{Learning of discrete models of variational PDEs from data}}}, doi = {{10.1063/5.0172287}}, volume = {{34}}, year = {{2024}}, } @article{49652, abstract = {{Broadband coherent anti-Stokes Raman scattering (BCARS) is a powerful spectroscopy method combining high signal intensity with spectral sensitivity, enabling rapid imaging of heterogeneous samples in biomedical research and, more recently, in crystalline materials. However, BCARS encounters spectral distortion due to a setup-dependent non-resonant background (NRB). This study assesses BCARS reproducibility through a round robin experiment using two distinct BCARS setups and crystalline materials with varying structural complexity, including diamond, 6H-SiC, KDP, and KTP. The analysis compares setup-specific NRB correction procedures, detected and NRB-removed spectra, and mode assignment. We determine the influence of BCARS setup parameters like pump wavelength, pulse width, and detection geometry and provide a practical guide for optimizing BCARS setups for solid-state applications.}}, author = {{Hempel, Franz and Vernuccio, Federico and König, Lukas and Buschbeck, Robin and Rüsing, Michael and Cerullo, Giulio and Polli, Dario and Eng, Lukas M.}}, issn = {{1559-128X}}, journal = {{Applied Optics}}, keywords = {{Atomic and Molecular Physics, and Optics, Engineering (miscellaneous), Electrical and Electronic Engineering}}, number = {{1}}, publisher = {{Optica Publishing Group}}, title = {{{Comparing transmission- and epi-BCARS: a round robin on solid-state materials}}}, doi = {{10.1364/ao.505374}}, volume = {{63}}, year = {{2024}}, } @inproceedings{50476, author = {{Krings, Sarah Claudia and Yigitbas, Enes}}, booktitle = {{Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2024) (to appear)}}, publisher = {{ACM}}, title = {{{TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR}}}, year = {{2024}}, } @inbook{37720, author = {{Öhlschläger, Claudia}}, booktitle = {{Lektüren der Ähnlichkeit um 1900. }}, editor = {{Bauer, Matthias and Patrut, Iulia}}, pages = {{145--164}}, title = {{{"Die Geschichte als Dichterin". Analogien in kleinen historischen Porträts von Stefan Zweig. }}}, year = {{2024}}, } @inproceedings{50531, author = {{Sahli Lozano, Caroline and Wüthrich, Sergej and Kullmann, Harry and Knickenberg, Margarita and Sharma, Umesh and Loreman, Tim and Romano, Alessandra and Avramidis, Elias and Woodcock, Stuart and Subban, Pearl}}, location = {{Philadelphia, PA, United States}}, title = {{{How do attitudes and self-efficacy predict teachers‘ intentions to teach in inclusive classrooms? A cross-national comparison between Canada, Germany, Greece, Italy, and Switzerland. }}}, year = {{2024}}, } @phdthesis{50530, abstract = {{Die Extrusion stellt das mengenmäßig dominante Verarbeitungsverfahren für thermoplastische Kunststoffe dar. Daher gibt es starke Bestrebungen in diesem Bereich hin zu einer höheren Wirtschaftlichkeit, welche beispielsweise durch höheren Massedurchsatz bei gleichbleibender Maschinengröße erreicht werden kann, oder aber auch im Hinblick auf eine Kreislaufwirtschaft die Bestrebung hin zu einer materialschonenden Verarbeitung. Beide Bestrebungen erfordern spezielle Schneckenkonzepte. Hierunter fallenWave- Schnecken, welche in beiden Bereichen ein vorteilhaftes Prozessverhalten aufzeigen sollen. Die Auslegung von Wave-Schnecken erfordert jedoch ein stärkeres Verständnis über das geometrieabhängige Prozessverhalten in der Extrusion. Im Rahmen der Dissertation werden zwei Themengebiete angegangen. Das erste Thema ist die Herleitung einer Methode zur Charakterisierung des Abbauverhaltens von Thermoplasten sowie die Nutzung der Charakterisierung als Vorhersagemodell. Das zweite Thema behandelt die Auslegung von Wave-Schnecken basierend auf numerischen Simulationen samt Validierung anhand von sieben Energy-Transfer-Schnecken im Vergleich zu drei konventionellen Schnecken. Hierbei werden unter anderem der Materialabbau, die thermische und die stoffliche Homogenität betrachtet, um ein umfassendes Bild über das Prozessverhalten der Schnecken zu schaffen. Die vorgestellten Untersuchungen dienen schlussendlich zu einer Bestätigung des vorteilhaften Prozessverhaltens von Wave-Schnecken.}}, author = {{Schall, Christoph Wilhelm Theodor}}, isbn = {{978-3-8440-9334-6}}, pages = {{224}}, publisher = {{Shaker Verlag}}, title = {{{Materialschonende Verarbeitung von Thermoplasten auf Wave-Schnecken}}}, volume = {{Band 2/2024}}, year = {{2024}}, }