@article{61152, abstract = {{While neural network quantization effectively reduces the cost of matrix multiplications, aggressive quantization can expose non-matrix-multiply operations as significant performance and resource bottlenecks on embedded systems. Addressing such bottlenecks requires a comprehensive approach to tailoring the precision across operations in the inference computation. To this end, we introduce scaled-integer range analysis (SIRA), a static analysis technique employing interval arithmetic to determine the range, scale, and bias for tensors in quantized neural networks. We show how this information can be exploited to reduce the resource footprint of FPGA dataflow neural network accelerators via tailored bitwidth adaptation for accumulators and downstream operations, aggregation of scales and biases, and conversion of consecutive elementwise operations to thresholding operations. We integrate SIRA-driven optimizations into the open-source FINN framework, then evaluate their effectiveness across a range of quantized neural network workloads and compare implementation alternatives for non-matrix-multiply operations. We demonstrate an average reduction of 17\% for LUTs, 66\% for DSPs, and 22\% for accumulator bitwidths with SIRA optimizations, providing detailed benchmark analysis and analytical models to guide the implementation style for non-matrix layers. Finally, we open-source SIRA to facilitate community exploration of its benefits across various applications and hardware platforms.}}, author = {{Umuroglu, Yaman and Berganski, Christoph and Jentzsch, Felix and Danilowicz, Michal and Kryjak, Tomasz and Bezaitis, Charalampos and Sjalander, Magnus and Colbert, Ian and Preusser, Thomas and Petri-Koenig, Jakoba and Blott, Michaela}}, issn = {{1936-7406}}, journal = {{ACM Transactions on Reconfigurable Technology and Systems}}, title = {{{SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators}}}, doi = {{10.1145/3807510}}, year = {{2026}}, } @inbook{65515, abstract = {{Abstract This study explores the usability and onboarding process of a Mixed Reality (MR) application called PEARL, designed to prepare students for laboratory work. Originally developed for mobile Augmented Reality (mAR), PEARL was adapted for MR to offer a more immersive and intuitive experience through hand and gesture controls. Since many students lack experience with MR devices, a user-friendly onboarding system is essential. The study aims to redesign PEARL’s user interface and onboarding experience, evaluating how intuitive interaction elements impact usability. First, a literature review will identify existing usability guidelines for MR applications, which will guide the redesign of the interface. This new version will then be tested with students through a user study. Feedback will be collected via an online survey to assess the onboarding and user experience, and the findings will be used to refine the design further. The expected outcome is an improved onboarding process and interface, making PEARL accessible even for MR novices, enhancing their ability to interact with 3D objects in a real-world setting. Ultimately, the study aims to provide best practices for developing intuitive MR interfaces and effective onboarding experiences, especially in educational contexts.}}, author = {{Alptekin, Mesut and Münstermann, Daniel and Temmen, Katrin}}, booktitle = {{Lecture Notes in Networks and Systems}}, isbn = {{9783032073181}}, issn = {{2367-3370}}, keywords = {{Meta Quest 3, Augmented Reality, Mixed Reality, PEARL, Electrical Engineering, Laboratory Training, Onboarding, User Experience, User Interface, Heuristics}}, location = {{Santiago, Chile}}, pages = {{199--211}}, publisher = {{Springer Nature Switzerland}}, title = {{{Designing and Evaluating the Usability and Onboarding for a Mixed-Reality Application: A Case Study with PEARL (Paderborn Electrical Engineering AR Laboratory) and Meta Quest 3}}}, doi = {{10.1007/978-3-032-07319-8_19}}, volume = {{2}}, year = {{2026}}, } @inbook{65602, abstract = {{This chapter explores the crucial role of simulation and modelling of electronic and photonic components for terahertz (THz) systems. THz-related challenges already begin with setting up the signal generation and sampling parameters and continue with the realistic modelling of the electronic and photonic building blocks. Hereby, photonic components require not only the modelling of the optical signal propagation but also the modelling of the electronic interface in the THz regime. Furthermore, when advancing to the simulation of systems like fully integrated electronic transmit and receive frontends or photonically assisted analogue-to-digital converters (ADCs), it is up to the designer to find a suitable level of abstraction. Size, complexity, and available computational power versus accuracy must be taken into consideration and prioritized against each other.}}, author = {{Wrana, Dominik and Weizel, Maxim and Haussmann, Simon and Bahmanian, Meysam and Kallfass, Ingmar and Scheytt, J. Christoph}}, booktitle = {{Metrology for THz Communications}}, isbn = {{9783032019851}}, issn = {{0342-4111}}, publisher = {{Springer Nature Switzerland}}, title = {{{Simulation and Modelling of Electronic and Photonic Components}}}, doi = {{10.1007/978-3-032-01986-8_36}}, year = {{2026}}, } @article{61441, abstract = {{Das hochschuldidaktische Konzept des Forschenden Lernens gilt als zentrales Element der universitären Lehrkräftebildung in Deutschland und ist in fast allen Bundesländern Bestandteil des Praxissemesters. Damit einhergehende Erwartungen im Hinblick auf den Professionalisierungsprozess von Lehrkräften fokussieren insbesondere die Vermittlung einer forschenden Grundhaltung, die auf eine nicht-wissenschaftsferne Berufsausübung abzielt. Wir fassen die forschende Grundhaltung als Professionsüberzeugung, die aus einer kognitiven, affektiven und handlungsbezogenen Komponente besteht und untersuchen die Komponenten im Zusammenspiel sowie im Längsschnitt. Mittels teilstrukturierter Interviews mit 22 angehenden Lehrkräften im Referendariat und Berufseinstieg, die sich im Praxissemester mit Forschendem Lernen befasst haben, werden das Verständnis (kognitive Komponente) und die Bedeutsamkeit (affektive und handlungsbezogene Komponente) Forschenden Lernens in der jeweiligen Ausbildungs- bzw. Berufsphase erfragt. Die Daten werden inhaltsanalytisch sowie typenbildend ausgewertet, um das Verständnis und die Bedeutsamkeit in der jeweiligen Phase, längsschnittliche Entwicklungen sowie das Verhältnis von Verständnis und Bedeutsamkeit herauszuarbeiten. Die Befunde zeigen, dass die Verständnisse von Forschendem Lernen sowohl im Referendariat als auch im Berufseinstieg variieren. Zudem ist das Konzept – laut Schilderungen der Befragten – durchaus bedeutsam für ihre Lern- und Handlungspraxis, jedoch nicht für alle und in unterschiedlich ausgeprägter Form. Die Typenbildung verdeutlicht, dass die fehlende Bedeutsamkeit Forschenden Lernens mit Fehlkonzepten einhergeht und eine höhere Bedeutsamkeit erkennbar ist, wenn Adaptionsleistungen hinsichtlich des Konzepts vorgenommen werden. Insgesamt ist im Sinne der Auffassung als Professionsüberzeugung die Anbahnung einer forschenden Grundhaltung bei einigen Befragten erkennbar. Implikationen für eine künftige Hochschulbildung ergeben sich u. a. mit Blick auf die Unterstützung von Studierenden bei Adaptionsleistungen für die (jeweilige) Praxis.}}, author = {{Homt, Martina and Bloh, Bea and Wehde, Janis}}, issn = {{2190-6890}}, journal = {{Zeitschrift für Bildungsforschung}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Perspektiven angehender Lehrkräfte auf Forschendes Lernen – eine qualitative Längsschnittstudie im Referendariat und Berufseinstieg}}}, doi = {{10.1007/s35834-025-00506-4}}, year = {{2026}}, } @article{45284, author = {{Webersen, Yvonne and Daud, Fardien}}, journal = {{MNU Journal}}, title = {{{Was steckt drin? Blackboxen aus dem 3D-Drucker für den Mechanikunterricht der Oberstufe}}}, year = {{2026}}, } @article{65785, abstract = {{Simulation-based design of high-power ultrasonic systems depends on the accurate modelling of the electromechanical behaviour of piezoceramic materials. In practical transducer applications, the relevant operating points are influenced by mechanical preload and heating, both of which give rise to changes in the elastic, dielectric, and piezoelectric material properties. Material parameters identified under idealised, unloaded conditions are therefore insufficient to represent piezoceramic material behaviour under realistic operating conditions. To overcome this limitation, experimental setups are developed that enable the measurement of electrical impedance spectra under controlled thermal and mechanical conditions. The acquired impedance data are used in an inverse identification procedure, in which the behaviour of a finite element forward model is iteratively fitted to the measurements using a block coordinate descent optimisation strategy guided by a sensitivity analysis. This yields effective linear material parameters as a function of temperature and mechanical stress at varying operating points. The identified temperature-dependent parameters, for instance, can be employed in a coupled thermo-electromechanical simulation framework to predict the temperature-dependent material behaviour during operation. The linear identification based on varying operation points provides an initial approximation of the nonlinear material response, establishing a basis for the development of corresponding nonlinear material models.}}, author = {{Friesen, Olga and Claes, Leander and Hölscher, Jonas and Henning, Bernd and Scheidemann, Claus and Hemsel, Tobias and Kuess, Raphael and Walther, Andrea and Spieker, Carsten and Förstner, Jens}}, issn = {{0171-8096}}, journal = {{tm - Technisches Messen}}, keywords = {{tet_topic_piezo}}, publisher = {{Walter de Gruyter GmbH}}, title = {{{Measurement of multiphysical material parameters of piezoceramic components for high-power ultrasonic applications}}}, doi = {{10.1515/teme-2026-0042}}, year = {{2026}}, } @inproceedings{65588, author = {{Spieker, Carsten and Kuess, Raphael and Walther, Andrea and Förstner, Jens}}, booktitle = {{Fortschritte der Akustik - DAGA 2026}}, keywords = {{tet_topic_piezo}}, pages = {{1066–1069}}, title = {{{Modellierung und Simulation des temperaturabhängigen Materialverhaltens von Piezokeramiken mit FEniCS}}}, doi = {{10.71568/DAGA2026.549}}, year = {{2026}}, } @article{65673, abstract = {{Subject of this paper is the investigation of the influence of local joint kinematics on the load-bearing and failure behavior of self- piercing riveted (SPR) joints. It can be shown that the local joint kinematics of SPR joints correlate with the failure mechanism of the joint. The kinematics are highly influenced by the material properties of the joining partners. Detailed experimental results from tensile tests on a representative SPR joint are presented, with local joint kinematics quantified using multiple complementary measurement methods (optical measurement, micrographs, in situ computer tomography). Furthermore, results of component tests are shown where the kinematics of the joints have been measured in the same manner. The experimental results are later used to calibrate simulation models for crash application which are used to simulate the specimen and component tests. The results of the investigation show that the local joint kinematic influences the failure behavior of the joint. Simulations of the experimental tests have shown good results, and the investigated models are able to predict the actual joint behavior.}}, author = {{Bähr, Philipp and Striewe, Marius and Dargel, Alrik and Sommer, Silke and Hein, David and Meschut, Gerson}}, issn = {{1464-4207}}, journal = {{Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications}}, publisher = {{SAGE Publications}}, title = {{{Experimental investigation of local joining element kinematics in mechanical joints and surrogate modelling for crash applications}}}, doi = {{10.1177/14644207261420657}}, year = {{2026}}, } @article{65845, author = {{Kattenstroth, Fiona and Kranz, Michael and Hunger, Sebastian and Withot, Dennis and Hovemann, Aschot and Dumitrescu, Roman}}, issn = {{1877-0509}}, journal = {{Procedia Computer Science}}, pages = {{586--595}}, publisher = {{Elsevier BV}}, title = {{{Towards a digital factory twin: systematization of material flow simulation use cases}}}, doi = {{10.1016/j.procs.2026.02.100}}, volume = {{277}}, year = {{2026}}, } @inbook{65689, abstract = {{The use of aluminium materials in the structural and bodywork areas of assemblies has proven to be a targeted option for lightweight design. How-ever, the reliable and cost-efficient joining of aluminium components remains a challenge. Mechanical joining methods, such as riveting, are frequently used in the automotive and aerospace construction industries. Rivets are made from heat-treated steels. Compared to steel, the use of aluminium materials for fasten-ers offers several advantages in terms of joining properties, particularly in terms of recyclability, corrosion resistance and reduced weight of the joined structure. Additionally, the manufacturing process is shorter since aluminium fasteners do not require coating. However, aluminium rivets can often not be used due to the insufficient mechanical strength of the fastener material in relation to the joining component materials. This study systematically investigates the requirements for using solid alu-minium self-piercing rivets. The influence of rivet geometry adjustments on the joint quality is analysed using numerical simulation. The results are used to derive and evaluate an optimised rivet geometry for joining pure aluminium sheets. On this basis, solid self-drilling rivets with optimised geometry are manufactured from particle-reinforced aluminium produced in a continuous extrusion process by machining. The integration of particles increases the material’s strength. Exper-imental tests are conducted to evaluate the use of optimised solid self-piercing rivets. The quality-relevant parameters are determined and evaluated based on macrographs of the joints.}}, author = {{Koch, Steffen and Weber, Joshua and Meschut, Gerson and Stadelmann, Claudia and Böhm, Wolfgang and Merklein, Marion}}, booktitle = {{Proceedings in Engineering Mechanics}}, isbn = {{9783032236401}}, issn = {{2731-0221}}, keywords = {{Solid self-piercing riveting cdot particle-reinforced aluminium cdot continuous powder extrusion cdot Joining technology cdot Rivet geometry cdot lightweight design}}, location = {{Coimbra}}, publisher = {{Springer Nature Switzerland}}, title = {{{Particle-Reinforced Aluminium Solid Self-piercing Rivets for Joining Aluminium Alloy Sheets}}}, doi = {{10.1007/978-3-032-23641-8_1}}, year = {{2026}}, } @article{66001, abstract = {{Expanding renewable energy sources is essential for a sustainable energy supply but challenges grid stability, as the volatility of solar and wind causes periods of over- and undersupply. Private households are central to this transition, combining dynamic consumption with decentralised generation. This paper presents a multi-agent microgrid simulation built on the Mesa framework, focusing on the heterogeneous objectives and technological capabilities of residential participants. Households are modelled as autonomous agents with individual strategies, while a dedicated “grid agent” represents the distribution system operator and regulates the microgrid in a grid-supportive manner. The emission factor serves as the key indicator for grid-friendly behaviour. Results show that in summer, unmanaged PV feed-in from heterogeneous households causes substantial grid stress and balancing effort for the distribution system operator. Dynamic electricity prices can incentivise grid-friendly dispatch, but their effectiveness depends on the correlation between price signals and renewable availability and cannot guarantee grid-supportive behaviour alone. The grid agent reliably improves the grid-supportive coefficient, yet its operating strategy, for instance additional peak-reduction objectives, can interfere with price-based incentives. Effective demand-side management therefore requires careful analysis of stakeholder interactions. Building on this insight, thepaper provides a basic framework for the design, implementation, and assessment of both integrated and individual energy management strategies within a microgrid environment. By simulating the dynamic interactions among system participants and strategies, it enables comprehensive evaluation of their collective impact on the grid, supporting the development of robust solutions for future electricity networks.}}, author = {{Henne, Kevin and Rahlf, Henning Christoph and Naumann, Marius and Meschede, Henning}}, issn = {{2590-1745}}, journal = {{Energy Conversion and Management: X}}, keywords = {{Microgrid, Decentralised Energy Systems, Multi-Agent System, Residential Demand-Side Management, Optimisation}}, location = {{Dubrovnik}}, pages = {{102030}}, publisher = {{Elsevier}}, title = {{{Towards Stakeholder-Aware Demand-Side management assessment in heterogeneous residential Microgrids: A Multi-Agent approach}}}, doi = {{https://doi.org/10.1016/j.ecmx.2026.102030}}, volume = {{31}}, year = {{2026}}, } @inproceedings{66288, abstract = {{ABSTRACT: Engineers simulate system behavior to support decisions in product engineering. Leveraging such engineering simulation data in strategic product planning can support idea generation and early evaluation of design alternatives and limitations. However, limited resources and expertise hinder broader uptake in strategic product planning. This paper investigates simulator integration into automated workflows and key processing components to enable simulation without in-depth expertise. This approach improves strategic product planning by creating data-based decision support.}}, author = {{Gräßler, Iris and Döhner, Niklas}}, booktitle = {{Proceedings of the Design Society}}, issn = {{2732-527X}}, keywords = {{simulation-based design, design tools, multi-/cross-/trans-disciplinary approaches, simulation data reuse}}, pages = {{357--366}}, publisher = {{Cambridge University Press (CUP)}}, title = {{{Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration}}}, doi = {{10.1017/pds.2026.10394}}, volume = {{6}}, year = {{2026}}, } @misc{66434, author = {{Hölscher, Jonas}}, title = {{{Effiziente Simulation nichtlinearer, elastodynamischer Prozesse}}}, year = {{2026}}, } @inproceedings{63758, abstract = {{Resilient systems require monitoring and prediction of environmental and intrinsic conditions and the ability to adapt to changing circumstances to optimize the trade-off between performance, power consumption, and fault tolerance. TETRISC was introduced as a resilient multicore RISC-V processor system based on the PULPissimo platform. This paper presents the migration of TETRISC to the Rocket Chip SoC, which is freely scalable to the number of processors through parametrizable Chisel models. As such, we discuss and evaluate the main advantages and obstacles that come with the Chipyard framework for RTL simulation and FPGA synthesis for the rapid prototyping of resilient, scalable architectures that are online configurable through software for different multicore and lock-step modes.}}, author = {{Hannemann, Kai Arne and Luchterhandt, Lars and Müller, Wolfgang and Ulbricht, Markus and Lu, Li}}, booktitle = {{38. ITG / GMM / GI - Workshop Testmethoden und Zuverlässigkeit von Schaltungen und Systemen}}, keywords = {{RISC-V, Multicore, Fault Tolerant, TETRISC, Chisel, Chipyard}}, location = {{Potsdam}}, title = {{{Redesigning the TETRISC Architecture for Scalable Rocket Chip Implementations}}}, year = {{2026}}, } @inproceedings{65595, abstract = {{Resilient systems require monitoring and prediction of environmental and intrinsic conditions, as well as the ability to adapt to environmental hazards while optimizing the trade-off among performance, power consumption, and fault tolerance. TETRISC was introduced as a resilient multicore RISC-V processor system based on the PULPissimo platform. We introduce the migration of TETRISC to the open-source Rocket Chip SoC, targeting scalable TETRISC Chisel implementations. As such, we discuss and evaluate the main advantages and obstacles that come with the Chipyard framework for RTL simulation and FPGA synthesis, enabling rapid prototyping of resilient, scalable architectures configurable for multicore and lockstep modes.}}, author = {{Hannemann, Kai Arne and Luchterhandt, Lars and Müller, Wolfgang and Ulbricht, Markus and Lu, Li and Scheytt, J. Christoph}}, booktitle = {{29. Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV 2026)}}, location = {{Würzburg}}, title = {{{TETRISC on Rocket Chip: A Scalable and Adaptive RISC-V Multicore Architecture}}}, year = {{2026}}, } @inproceedings{66545, abstract = {{The key to achieving energy efficiency and reducing carbon emissions in transportation lies in the effectiveness of vehicles and their associated mechatronic systems. A notable example of a mechatronic system is the headlamp at the front of a vehicle, which emits adaptive headlights, such as the well-known adaptive cornering lights or glare-free high beam. The rise of these and other Advanced Driver Assistance Systems (ADAS) has led to a proliferation of sensor data. However, the full potential of ADAS sensor data for increasing energy efficiency has not yet been exploited in the past. This study demonstrates that utilizing the data to dynamically adapt headlights to the upcoming driving scenario leads to a substantial reduction in power consumption. This objective is pursued by focusing on the predominant carbon footprint driver, namely the low beam.}}, author = {{Fittkau, Niklas and Bußemas, Leon and Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}}, booktitle = {{2026 IEEE Intelligent Vehicles Symposium (IV)}}, keywords = {{intelligent headlights, energy efficiency, ecodriving, decarbonization, matrix LED headlights, adaptive realtime control, ADAS systems, feedforward control, simulation}}, location = {{Detroit}}, publisher = {{IEEE}}, title = {{{Intelligent headlights boost energy efficiency and drive decarbonization}}}, volume = {{37}}, year = {{2026}}, } @inproceedings{66514, abstract = {{Manufacturing companies increasingly integrate the strive towards sustainability into product engineering to reduce resource consumption and environmental impacts. A substantial share of a product’s environmental performance is determined during engineering. Early assessments rely on generic data, which is gradually replaced by more concrete simulation and primary data as product maturity increases. The effective use of engineering simulation models for Life Cycle Assessment (LCA) therefore remains a central challenge under heterogeneous, distributed and rapidly evolving data. This article presents a systematic review of product engineering approaches for integrating simulation models into LCA. A seven-step research approach is applied to identify, categorize and evaluate existing approaches across CAx tools. Relevant simulation parameters for sustainability assessment, including material properties, process descriptors, consumables and waste streams, are identified and analyzed. Based on identified data characteristics, the potential of Data Science and Artificial Intelligence methods for LCA data preparation is assessed. A conceptual knowledge-graph-based decision support approach is derived to enable structured integration, traceability and reuse of simulation data for sustainability assessment. The approach is evaluated using criteria from literature. Structured integration of simulation data improves early-stage data quality and supports decision-making in sustainable product engineering.}}, author = {{Gräßler, Iris and Aydin, Simon and Rarbach, Sven}}, booktitle = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}}, editor = {{Gräßler, Iris}}, location = {{Paderborn}}, publisher = {{Universitätsbibliothek}}, title = {{{Systematic review of engineering simulation models for life cycle assessment}}}, doi = {{10.17619/UNIPB/1-2637}}, year = {{2026}}, } @article{66942, abstract = {{Raman imaging, based on incoherent spontaneous Raman scattering (SR) or coherent techniques such as broadband coherent anti-Stokes Raman spectroscopy (BCARS), is a powerful tool for visualizing local lattice distortions. It can thus be employed, e.g., to identify and visualize ferroelectric (FE) domain walls (DWs). While SR-based DW imaging relies on small changes in the intensity or position of Raman peaks at the DW, BCARS measurements may detect DW signatures with a drastically increased contrast and orders of magnitude faster imaging speed. However, while SR-based contrasts can be predicted from existing models, the increased DW contrasts in BCARS remain poorly understood. In this work, we develop a first-principles approach for the simulation of CARS spectra to investigate the origin of this BCARS signal contrast at periodically poled stoichiometric lithium niobate (sPPLN) DWs. Combining these atomistic simulations with strain modeling allows us to explore how strain affects the CARS signal generation at FE DWs. We then apply polarization-sensitive BCARS to image sPPLN DWs for different polarization configurations. Our results reveal additional Raman peaks specific to the DWs across all investigated polarization combinations, yielding a strong DW-to-bulk contrast that enables in situ identification and localization of DWs in two-dimensional BCARS maps. This study demonstrates the practical utility of polarization-sensitive BCARS for fast DW imaging and provides fundamental insights into the BCARS contrast mechanism in FE materials, both in strained regions and in the unstrained bulk.}}, author = {{Buschbeck, Robin and Pionteck, Mike N. and Herrmann, Naomi and Rüsing, Michael and Kehr, Susanne C. and Sanna, Simone and Eng, Lukas M.}}, issn = {{2469-9950}}, journal = {{Physical Review B}}, number = {{3}}, publisher = {{American Physical Society (APS)}}, title = {{{Ab initio modeling and experimental analysis of contrast in broadband coherent anti-Stokes Raman spectroscopy: A case study on ferroelectric domain walls}}}, doi = {{10.1103/m1xq-rlft}}, volume = {{114}}, year = {{2026}}, } @inproceedings{66462, abstract = {{Germany is experiencing a shortage of teachers, a situation that is particularly evident in the domain of technical vocational education. In response to this, various pathways into vocational teacher education have been established. These pathways are diverse in their nature but all lead to the same teacher degree as traditional teacher education. In two interview studies (n=22 (pre service) vocational teachers), initial motives of entering teacher education (based on FIT-Choice) as well as retrospective views on the career choice after entering the profession (based on PLP model) are analyzed. The present study compares the reflective views of pre-service teachers and career-changing in-service teachers (CCIT). Although both groups generally perceive their career choice positively, the results raise questions about why CCITs did not enter the field of teacher education in the first place. Additionally, the analysis allows for further discussion about existing teacher education programs in times of teacher shortage.}}, author = {{Vernholz, Mats and Jonas-Ahrend, Gabriela and Temmen, Katrin}}, keywords = {{vocational teacher education, teacher shortage, career-changing teachers, teacher reflections}}, location = {{Boat Viking Glory}}, title = {{{Different Pathways, Shared Challenges: Reflections on Entering Vocational Teaching in Germany }}}, year = {{2026}}, } @article{66632, abstract = {{Three‐dimensional (3D) assemblies of gold nanoparticles (AuNPs) offer a rich platform for plasmonic coupling and near‐field engineering, yet their optical behavior is often complex due to structural disorder and fabrication‐induced variability. Here, we present a systematic optical investigation of large‐scale 3D AuNP assemblies fabricated via meniscus‐guided assembly, focusing on the reproducibility, spatial uniformity, and mode evolution of their plasmonic responses. Spatially‐resolved dark‐field scattering measurements reveal that high‐aspect‐ratio AuNP pillars exhibit uniform scattering spectra along their height and across different pillars, despite variations in geometry and structure. Electromagnetic simulations suggest that this robustness arises from a collective many‐particle plasmonic response that remains optically active despite structural perturbations. The corresponding near‐field and surface‐charge distributions remain spatially distributed under representative structural perturbations, consistent with volumetric averaging across the three‐dimensional assembly. Building on this robust platform, we introduce compositional modulation through a core–satellite architecture by incorporating smaller AuNPs. This yields a composition‐dependent spectral redistribution, including the emergence of an additional long‐wavelength spectral feature in the core–satellite assemblies. Wavelength‐dependent surface‐enhanced Raman scattering measurements reveal contrasting responses under 633 and 785 nm excitation, reflecting redistribution of local plasmonic coupling pathways. These results provide process‐enabled guidelines for using meniscus‐guided 3D‐nanoprinting to realize robust nanoparticle assemblies.}}, author = {{Devaraj, Vasanthan and Kwak, Sunghyun and Kim, Hyeongjip and Sung, Sang‐Keun and Lee, Jong‐Min and Zentgraf, Thomas and Kim, Won‐Geun}}, issn = {{1863-8880}}, journal = {{Laser & Photonics Reviews}}, publisher = {{Wiley}}, title = {{{Spatially Uniform and Defect‐Tolerant Plasmonic Responses in 3D Printed Gold Nanoparticle Assemblies}}}, doi = {{10.1002/lpor.71686}}, year = {{2026}}, }