TY - CONF AU - Schryen, Guido AU - Marrone, Mauricio AU - Yang, Jiaqi ID - 47427 T2 - Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024) TI - Adopting Generative AI for Literature Reviews: An Epistemological Perspective ER - TY - CONF AU - Betke, Hans AU - Sperling, Martina AU - Schryen, Guido AU - Sackmann, Stefan ID - 47429 T2 - Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024) TI - A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response ER - TY - JOUR AU - Weich, Tobias AU - Guedes Bonthonneau, Yannick AU - Guillarmou, Colin ID - 32097 JF - Journal of Differential Geometry (to appear) -- arXiv:2103.12127 TI - SRB Measures of Anosov Actions ER - TY - JOUR AB - When it comes to NP, its natural definition, its wide applicability across scientific disciplines, and its timeless relevance, the writing is on the wall: There can be only one. Quantum NP, on the other hand, is clearly the apple that fell far from the tree of NP. Two decades since the first definitions of quantum NP started rolling in, quantum complexity theorists face a stark reality: There's QMA, QCMA, QMA1, QMA(2), StoqMA, and NQP. In this article aimed at a general theoretical computer science audience, I survey these various definitions of quantum NP, their strengths and weaknesses, and why most of them, for better or worse, actually appear to fit naturally into the complexity zoo. AU - Gharibian, Sevag ID - 48544 IS - 4 JF - ACM SIGACT News TI - Guest Column: The 7 faces of quantum NP VL - 54 ER - TY - JOUR AU - Schryen, Guido ID - 50301 JF - Journal of Parallel and Distributed Computing TI - Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis ER - TY - JOUR AB - 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. AU - Offen, Christian AU - Ober-Blöbaum, Sina ID - 46469 IS - 1 JF - Chaos SN - 1054-1500 TI - Learning of discrete models of variational PDEs from data VL - 34 ER - TY - JOUR AB - 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. AU - Hempel, Franz AU - Vernuccio, Federico AU - König, Lukas AU - Buschbeck, Robin AU - Rüsing, Michael AU - Cerullo, Giulio AU - Polli, Dario AU - Eng, Lukas M. ID - 49652 IS - 1 JF - Applied Optics KW - Atomic and Molecular Physics KW - and Optics KW - Engineering (miscellaneous) KW - Electrical and Electronic Engineering SN - 1559-128X TI - Comparing transmission- and epi-BCARS: a round robin on solid-state materials VL - 63 ER - TY - JOUR AU - Domenik Ackermann ID - 50101 JF - Quick And Easy Journal Title TI - New Quick And Easy Publication - Will be edited by LibreCat team ER - TY - JOUR AU - Domenik Ackermann ID - 50099 JF - Quick And Easy Journal Title TI - New Quick And Easy Publication - Will be edited by LibreCat team ER - TY - CHAP AU - Prediger, Susanne AU - Wessel, Lena ED - Efing, Christian ED - Kalkavan-Aydin, Zeynep ID - 50554 SN - 978-3-11-074544-3 T2 - Berufs-und Fachsprache Deutsch in Wissenschaft und Praxis TI - 31 Sprachbildung im berufsbezogenen Mathematikunterricht. VL - Band 3 ER -