@inproceedings{63917, author = {{Koepler, Oliver and Mozgova, Iryna and Nürnberger, Florian and Steinbeck, Christoph and Pleiss, Jürgen}}, location = {{Heidelberg}}, pages = {{S. 23–39}}, publisher = {{LibreCat University}}, title = {{{Data Management in INF Projects of Collaborative Research Centres: Building Bridges Between Research, Infrastructure and Practice}}}, doi = {{10.11588/HEIBOOKS.1652.C23912}}, year = {{2025}}, } @inproceedings{63068, abstract = {{The Nalyses research project, which will be completed in 2025, is being conducted by partners FORVIA HELLA, BMW, Fraunhofer IEM, Heinz Nixdorf Institute, Hamm-Lippstadt University of Applied Sciences, Geba, and the associated partner Miele. The aim of the project is to investigate the influencing factors for a circular economy in the field of automotive lighting using the example of a headlamp. A key aspect is the analysis of methods for recycling end of life headlamps to recover materials for the next generation of headlamps and to evaluate their reusability. The article presents investigations and methods for recovering materials from used headlamps. These methods are evaluated based on how effectively they can recover materials for the next generation of headlamps and to what extent these materials can be reused. The goal was to identify the best practices that are both ecologically and economically sustainable. To support the development of a headlamp, a digital twin was created, which enables a detailed life cycle analysis at any time. This digital twin ensures that the expected CO2 footprint of the product can be analysed over its product life cycle during development to ensure optimal use and recycling of materials. This ensures a precise assessment of the environmental impact of future products. The final demonstrator of the project, developed based on the findings of the two points mentioned above and OEM requirements, presents the third key point of the research project: the design of a new product to enable a circular economy in the field of automotive lighting. The headlamp is designed to use circular economy recyclates and to serve as a material source at the end of its life. This represents an important step for automotive lighting towards a circular economy, where products and materials are used and reused for as long as possible.}}, author = {{Schmidt, Christian and Niedling, Mathias and Helmig, Jan and Forbes, Steffen and Jardin, Janis and Stieren, Stephan and Fittkau, Niklas and Peitzmeier, Henning}}, booktitle = {{Proceedings of the 16th International Symposium on Automotive Lighting 2025}}, location = {{Darmstadt}}, title = {{{Circular economy approaches in automotive lighting – insights from the Nalyses project}}}, doi = {{10.26083/tuprints-00030841}}, year = {{2025}}, } @unpublished{64071, abstract = {{Stimulated by the renewed interest and recent developments in semi-empirical quantum chemical (SQC) methods for noncovalent interactions, we examine the properties of liquid water at ambient conditions by means of molecular dynamics (MD) simulations, both with the conventional NDDO-type (neglect of diatomic differential overlap) methods, e.g. AM1 and PM6, and with DFTB-type (density-functional tight-binding) methods, e.g. DFTB2 and GFN-xTB. Besides the original parameter sets, some specifically reparametrized SQC methods (denoted as AM1-W, PM6-fm, and DFTB2-iBi) targeting various smaller water systems ranging from molecular clusters to bulk are considered as well. The quality of these different SQC methods for describing liquid water properties at ambient conditions are assessed by comparison to well-established experimental data and also to BLYP-D3 density functional theory-based ab initio MD simulations. Our analyses reveal that static and dynamics properties of bulk water are poorly described by all considered SQC methods with the original parameters, regardless of the underlying theoretical models, with most of the methods suffering from too weak hydrogen bonds and hence predicting a far too fluid water with highly distorted hydrogen bond kinetics. On the other hand, the reparametrized force-matchcd PM6-fm method is shown to be able to quantitatively reproduce the static and dynamic features of liquid water, and thus can be used as a computationally efficient alternative to electronic structure-based MD simulations for liquid water that requires extended length and time scales. DFTB2-iBi predicts a slightly overstructured water with reduced fluidity, whereas AM1-W gives an amorphous ice-like structure for water at ambient conditions.}}, author = {{Wu, Xin and Elgabarty, Hossam and Alizadeh, Vahideh and Henao Aristizabal, Andres and Zysk, Frederik and Plessl, Christian and Ehlert, Sebastian and Hutter, Jürg and Kühne, Thomas D.}}, title = {{{Benchmarking semi-empirical quantum chemical methods on liquid water}}}, year = {{2025}}, } @inbook{63859, author = {{Vochatzer, Stefanie and Engelman , Sebastian }}, booktitle = {{"Nicht die Wahrheit wird anerkennt" - Mathilde Vaerting (1884-1977) Deutungen, Ordnungen und Tradierungen in der Erziehungswissenschaft}}, editor = {{ Berner, Esther and Hofbauer , Susann}}, isbn = {{9783781527430}}, pages = {{184--197}}, publisher = {{Verlag Julius Klinkhardt}}, title = {{{"...da gerade hier die allgemeinen Theorieen uns nur zu oft im Stiche lassen." Rousseau in der Kritik gelehrter Frauen seiner Zeit }}}, year = {{2025}}, } @inbook{63876, author = {{Vochatzer, Stefanie}}, booktitle = {{Stand, Beruf(ung), Geschlecht - Umbrüche und Transformationsprozess im gesellschaftlichen und kulturellen Wandel}}, editor = {{ Bill-Mrziglod, Michaela and Schäfer-Althaus, Sarah}}, isbn = {{978-3-8253-9689-3}}, pages = {{61--76}}, publisher = {{Winter }}, title = {{{Erziehung zur Hausfrau und Mutter? Geschlechterspezifische Umbrüche in der Mädchenerziehung des 18. Jahrhunderts}}}, year = {{2025}}, } @article{64086, abstract = {{Abstract This study aimed to develop and evaluate deep learning approaches for the classification of quantum emission signals from WS 2 monolayer nanobubbles across multiple spectral bands, addressing challenges in quantum materials characterization and spectral distinguishability assessment. We utilized a dataset of quantum emission signals ranging from 604 to 629 nm, emitted from WS₂ monolayer nanobubbles on gold substrates, categorized into four spectral bands (604.06–608.24 nm, 611.07–616.34 nm, 617.42–623.35 nm, and 624.16–636.57 nm). Our methodology involved signal preprocessing through normalization and moving average smoothing, followed by transformation into 128 × 128 RGB images using Continuous Wavelet Transform (CWT) with Complex Morlet wavelet. Three convolutional neural network architectures (ResNet50, VGG16, and Xception) were implemented and evaluated using fivefold cross-validation across six possible band pair combinations. All models demonstrated exceptional classification performance, with VGG16 achieving the highest overall mean accuracy of 99.4%, followed by Xception (99.1%) and ResNet50 (98.2%). Perfect classification accuracy (100%) was consistently achieved for spectrally distant band pairs, particularly Band 1 versus Band 4 (20.5 nm separation), while the most challenging classification involved adjacent bands (Band 2 vs. Band 3, 6.27 nm separation) with VGG16 achieving 96.5% accuracy. Statistical analysis using Friedman tests confirmed significant performance differences among models (χ 2  = 8.67, p  = 0.013). Xception demonstrated remarkable computational efficiency, achieving optimal convergence in as few as 2 epochs for certain band combinations while maintaining ultralow training loss values (8.23 × 10⁻ 6 ). Deep learning models, particularly when combined with CWT preprocessing, provide a robust framework for quantum emission signal classification with significant implications for quantum photonics, quantum cryptography, and quantum sensing applications. Our approach bridges the gap between classical machine learning and quantum materials characterization, establishing quantifiable metrics for evaluating spectral distinguishability in quantum information systems. The demonstrated ability to achieve high classification accuracy with minimal training through transfer learning addresses data scarcity challenges inherent to quantum systems, offering a promising direction for future quantum technology development. }}, author = {{Najafzadeh, Hossein and Raissi, Zahra and Golmohammady, Shole and Kaji, Parivash Safari and Esmaeili, Mahdad}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Deep learning for classifying quantum emission signals in WS2 monolayers using wavelet transform}}}, doi = {{10.1038/s41598-025-29120-0}}, volume = {{15}}, year = {{2025}}, } @article{64081, abstract = {{Abstract Graph states are a fundamental class of multipartite entangled quantum states with wide-ranging applications in quantum information and computation. In this work, we develop a systematic approach for constructing and analyzing χ-colorable graph states, deriving explicit closed-form expressions for arbitrary χ. For a broad family of two- and three-colorable graph states, the representations obtained using only local operations require a minimal number of terms in the Z-eigenbasis. We prove that every two-colorable graph state is local Clifford (LC) equivalent to a state expressible as a summation of rows of an orthogonal array (OA). For graph states with χ > 2, we show that they are LC-equivalent to quantum OAs, establishing a direct combinatorial connection between multipartite entanglement and structured quantum states. Furthermore, the upper and lower bounds of the Schmidt measure for graph states with arbitrary χ colorability are discussed, extending the results for an arbitrary local dimension. Our results offer an efficient and practical method for systematically constructing graph states, optimizing their representation in quantum circuits, and identifying structured forms of multipartite entanglement. This approach also connects graph states to k-uniform and absolutely maximally entangled states, motivating further exploration of the structure of entangled states and their applications in quantum networks, quantum error correction, and measurement based quantum computing.}}, author = {{Revis, Konstantinos-Rafail and Zakaryan, Hrachya and Raissi, Zahra}}, issn = {{1751-8113}}, journal = {{Journal of Physics A: Mathematical and Theoretical}}, number = {{35}}, publisher = {{IOP Publishing}}, title = {{{χ-colorable graph states: closed-form expressions and quantum orthogonal arrays}}}, doi = {{10.1088/1751-8121/adfe45}}, volume = {{58}}, year = {{2025}}, } @article{64078, author = {{Zakaryan, Hrachya and Revis, Konstantinos-Rafail and Raissi, Zahra}}, issn = {{2469-9926}}, journal = {{Physical Review A}}, number = {{3}}, publisher = {{American Physical Society (APS)}}, title = {{{Nonsymmetric Greenberger-Horne-Zeilinger states: Weighted hypergraph and controlled-unitary graph representations}}}, doi = {{10.1103/7zxj-jp34}}, volume = {{112}}, year = {{2025}}, } @unpublished{64089, author = {{Revis, Konstantinos-Rafail and Zakaryan, Hrachya and Raissi, Zahra}}, booktitle = {{https://arxiv.org/pdf/2506.05478}}, title = {{{Orbit classification and analysis of qutrit graph states under local complementation and local scaling}}}, year = {{2025}}, } @unpublished{64091, author = {{ Bl ̈omer, Johannes and Xiao, Yinzi and Raissi, Zahra and Soltan, Stanislaw }}, booktitle = {{https://arxiv.org/pdf/2509.10183}}, title = {{{Symplectic Lattices and GKP Codes - Simple Randomized Constructions from Cryptographic Lattices}}}, year = {{2025}}, } @article{63745, abstract = {{Multimode squeezed light is an increasingly popular tool in photonic quantum technologies, including sensing, imaging, and computation. Meanwhile, the existing methods of its characterization are technically complicated, which reduces the level of squeezing, and mostly deal with a single mode at a time. Here, for the first time, to the best of our knowledge, we employ optical parametric amplification to characterize multiple squeezing eigenmodes simultaneously. We retrieve the shapes and squeezing degrees of all modes at once through direct detection followed by modal decomposition. This method is tolerant to inefficient detection and does not require a local oscillator. For a spectrally and spatially multimode squeezed vacuum, we characterize eight strongest spatial modes, obtaining squeezing and anti-squeezing values of up to −5.2 ± 0.2 dB and 8.6 ± 0.3 dB, respectively, despite the 50% detection loss. This work, being the first exploration of an optical parametric amplifier’s multimode capability for squeezing detection, paves the way for the real-time detection of multimode squeezing.}}, author = {{Barakat, Ismail and Kalash, Mahmoud and Scharwald, Dennis and Sharapova, Polina and Lindlein, Norbert and Chekhova, Maria}}, issn = {{2837-6714}}, journal = {{Optica Quantum}}, number = {{1}}, publisher = {{Optica Publishing Group}}, title = {{{Simultaneous measurement of multimode squeezing through multimode phase-sensitive amplification}}}, doi = {{10.1364/opticaq.524682}}, volume = {{3}}, year = {{2025}}, } @misc{63871, author = {{Vochatzer, Stefanie}}, booktitle = {{H-Soz-Kult}}, isbn = {{9781350269248}}, title = {{{Rezension zu: Wasmuth, Helge; Sauerbrey, Ulf; Winkler, Michael: Finding Froebel. The Man Who Invented Kindergarten. New York 2023 }}}, year = {{2025}}, } @inproceedings{62285, abstract = {{The sliding square model is a widely used abstraction for studying self-reconfigurable robotic systems, where modules are square-shaped robots that move by sliding or rotating over one another. In this paper, we propose a novel distributed algorithm that enables a group of modules to reconfigure into a rhombus shape, starting from an arbitrary side-connected configuration. It is connectivity-preserving and operates under minimal assumptions: one leader module, common chirality, constant memory per module, and visibility and communication restricted to immediate neighbors. Unlike prior work, which relaxes the original sliding square move-set, our approach uses the unmodified move-set, addressing the additional challenge of handling locked configurations. Our algorithm is sequential in nature and operates with a worst-case time complexity of O(n^2) rounds, which is optimal for sequential algorithms. To improve runtime, we introduce two parallel variants of the algorithm. Both rely on a spanning tree data structure, allowing modules to make decisions based on local connectivity. Our experimental results show a significant speedup for the first variant, and a linear average runtime for the second variant, which is worst-case optimal for parallel algorithms.}}, author = {{Kostitsyna, Irina and Liedtke, David Jan and Scheideler, Christian}}, booktitle = {{Stabilization, Safety, and Security of Distributed Systems}}, editor = {{Bonomi, Silvia and Mandal, Partha Sarathi and Robinson, Peter and Sharma, Gokarna and Tixeuil, Sebastien}}, isbn = {{9783032111265}}, issn = {{0302-9743}}, location = {{Kathmandu}}, pages = {{325--342}}, publisher = {{Springer Nature Switzerland}}, title = {{{Invited Paper: Distributed Rhombus Formation of Sliding Squares}}}, doi = {{10.1007/978-3-032-11127-2_26}}, year = {{2025}}, } @article{64098, author = {{Scheideler, Christian and Padalkin, Andreas and Kumar, Manish}}, journal = {{Reconfiguration and locomotion with joint movements in the amoebot model. Auton. Robots 49(3): 22 (2025)}}, title = {{{Reconfiguration and locomotion with joint movements in the amoebot model. Auton. Robots 49(3): 22 (2025)}}}, year = {{2025}}, } @inproceedings{64094, author = {{Scheideler, Christian and Artmann, Matthias and Maurer, Tobias and Padalkin, Andreas and Warner, Daniel}}, title = {{{AmoebotSim 2.0: A Visual Simulation Environment for the Amoebot Model with Reconfigurable Circuits and Joint Movements (Media Exposition). }}}, year = {{2025}}, } @inproceedings{64096, author = {{Scheideler, Christian and Dou, Jinfeng and Götte, Thorsten and Hillebrandt, Henning and Werthmann, Julian}}, title = {{{Distributed and Parallel Low-Diameter Decompositions for Arbitrary and Restricted Graphs. }}}, year = {{2025}}, } @book{64099, editor = {{Scheideler, Christian and Meeks, Kitty}}, title = {{{4th Symposium on Algorithmic Foundations of Dynamic Networks.}}}, year = {{2025}}, } @inproceedings{64097, author = {{Scheideler, Christian and Artmann, Matthias and Padalkin, Andreas}}, title = {{{On the Shape Containment Problem Within the Amoebot Model with Reconfigurable Circuits. }}}, year = {{2025}}, } @inproceedings{64095, author = {{Scheideler, Christian and Augustine , John and Werthmann, Julian}}, title = {{{Supervised Distributed Computing. }}}, year = {{2025}}, } @inproceedings{64112, author = {{Jalil, Farjana and Awais, Muhammad and Ahmed, Qazi Arbab and Mohammadi, Hassan Ghasemzadeh and Jungeblut, Thorsten and Platzner, Marco}}, booktitle = {{2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)}}, publisher = {{IEEE}}, title = {{{Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators}}}, doi = {{10.1109/dsn-w65791.2025.00048}}, year = {{2025}}, }