@inproceedings{54811, author = {{Pollmeier, Pascal and Vogelsang, Christoph and Rogge, Tim}}, booktitle = {{Frühe naturwissenschaftliche Bildung}}, editor = {{van Vorst, Helena}}, location = {{Hamburg}}, title = {{{Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte}}}, volume = {{44}}, year = {{2024}}, } @article{62767, abstract = {{Abstract In this study, we develop a novel multi-fidelity deep learning approach that transforms low-fidelity solution maps into high-fidelity ones by incorporating parametric space information into an autoencoder architecture. This method’s integration of parametric space information significantly reduces the amount of training data needed to effectively predict high-fidelity solutions from low-fidelity ones. In this study, we examine a two-dimensional steady-state heat transfer analysis within a heterogeneous materials microstructure. The heat conductivity coefficients for two different materials are condensed from a 101  $$\times $$ ×  101 grid to smaller grids. We then solve the boundary value problem on the coarsest grid using a pre-trained physics-informed neural operator network known as Finite Operator Learning (FOL). The resulting low-fidelity solution is subsequently upscaled back to a 101  $$\times $$ ×  101 grid using a newly designed enhanced autoencoder. The novelty of the developed enhanced autoencoder lies in the concatenation of heat conductivity maps of different resolutions to the decoder segment in distinct steps. Hence the developed algorithm is named microstructure-embedded autoencoder (MEA). We compare the MEA outcomes with those from finite element methods, the standard U-Net, and an interpolation approach as an upscaling technique. Our analysis shows that MEA outperforms these methods in terms of computational efficiency and error on representative test cases. As a result, the MEA serves as a potential supplement to neural operator networks, effectively upscaling low-fidelity solutions to high-fidelity while preserving critical details often lost in traditional upscaling methods, such as sharp interfaces features lost in the context of interpolation approaches.}}, author = {{Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}}, issn = {{0178-7675}}, journal = {{Computational Mechanics}}, number = {{4}}, pages = {{1377--1406}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space}}}, doi = {{10.1007/s00466-024-02568-z}}, volume = {{75}}, year = {{2024}}, } @article{62770, abstract = {{AbstractThe open-source parameter identification tool ADAPT (A diversely applicable parameter identification Tool) is integrated with a machine learning-based approach for start value prediction in order to calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network (ANN) is initially trained by using load–displacement curves derived from simulations of a boundary value problem—instead of using data generated for homogeneous states of deformation at material point or one-element level—with varying material parameter combinations. The ANN is then employed so as to predict sets of material parameters that already provide close solutions to the experiment. These predicted parameter sets serve as starting values for a subsequent multi-objective parameter identification by using ADAPT. ADAPT allows for the consideration of input data from multiple scales, including integral data such as load–displacement curves, full-field data such as displacement and strain fields, and high-resolution experimental void data at the micro-scale. The influence of each data set on prediction quality is analyzed. Using various types of input data introduces additional information, enhancing prediction accuracy. The validation is carried out with respect to experimental void measurements of forward rod extruded parts. The results demonstrate, by incorporating void measurements in the optimization process, that it is possible to improve the quantitative prediction of ductile damage in the sense of void area fractions by factor 28 in forward rod extrusion.}}, author = {{Gerlach, Jan and Schulte, Robin and Schowtjak, Alexander and Clausmeyer, Till and Ostwald, Richard and Tekkaya, A. Erman and Menzel, Andreas}}, issn = {{0939-1533}}, journal = {{Archive of Applied Mechanics}}, number = {{8}}, pages = {{2217--2242}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification}}}, doi = {{10.1007/s00419-024-02634-1}}, volume = {{94}}, year = {{2024}}, } @article{62768, author = {{Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}}, issn = {{0013-7944}}, journal = {{Engineering Fracture Mechanics}}, publisher = {{Elsevier BV}}, title = {{{A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties}}}, doi = {{10.1016/j.engfracmech.2024.110675}}, volume = {{314}}, year = {{2024}}, } @inproceedings{54589, author = {{Brennig, Katharina and Löhr, Bernd and Brock, Jonathan and Reineke, Malte Fabian and Bartelheimer, Christian}}, booktitle = {{Americas Conference on Information Systems (AMCIS)}}, title = {{{Maximizing the Impact of Process Mining Research: Four Strategic Guidelines}}}, year = {{2024}}, } @inproceedings{62796, author = {{Reineke, Malte Fabian and Bartelheimer, Christian}}, booktitle = {{AMCIS 2024 TREOs}}, location = {{Salt Lake City, Utah, USA}}, title = {{{Assessing the impact of organizational culture on workarounds: A maturity model}}}, year = {{2024}}, } @article{62670, author = {{André, Rémi F. and Brandt, Jessica and Schmidt, Johannes and López-Salas, Nieves and Odziomek, Mateusz and Antonietti, Markus}}, issn = {{0008-6223}}, journal = {{Carbon}}, publisher = {{Elsevier BV}}, title = {{{Inductively coupled plasma spectroscopy for heteroatom-doped carbonaceous materials: Limitations and acid choice for digestion}}}, doi = {{10.1016/j.carbon.2024.118946}}, volume = {{223}}, year = {{2024}}, } @inbook{57767, author = {{Pollmeier, Pascal and Stroop, Dietlinde and Fechner, Sabine}}, booktitle = {{Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte Forschungs- und Praxisperspektiven}}, editor = {{Herzig, Bardo and Eickelmann, Birgit and Schwabl, Franszika and Schulze, Johanna and Niemann, Jan}}, pages = {{53--64}}, publisher = {{Waxmann}}, title = {{{Digitale Messwerterfassung im Chemieunterricht}}}, year = {{2024}}, } @inbook{57769, author = {{Peeters, Hendrik and Graute, André and Hansel, Jan-Luca and Fischer, Matthias and Fechner, Sabine}}, booktitle = {{Lehrkräftebildung in der digitalen Welt - Zukunftsorientierte Forschungs- und Praxisperspektiven}}, editor = {{Herzig, Bardo and Eickelmann, Birgit and Schwabl, Franziska and Schulze, Johanna and Niemann, Jan}}, pages = {{241--252}}, publisher = {{Waxmann}}, title = {{{VirtuChemLab - Ein VR-Unterstützungsformat zur Vorbereitung auf das reale Chemielabor}}}, doi = {{https://www.waxmann.com/shop/download?tx_p2waxmann_download%5Baction%5D=download&tx_p2waxmann_download%5Bbuchnr%5D=4837&tx_p2waxmann_download%5Bcontroller%5D=Zeitschrift&cHash=8a25fe58c1166ed639ec8ef14076a936}}, volume = {{1}}, year = {{2024}}, } @article{62828, author = {{Ruhm, Lukas and Löseke, Jannik and Vieth, Pascal and Prüßner, Tim and Grundmeier, Guido}}, issn = {{0169-4332}}, journal = {{Applied Surface Science}}, publisher = {{Elsevier BV}}, title = {{{Adhesion promotion and corrosion resistance of mixed phosphonic acid monolayers on AA 2024}}}, doi = {{10.1016/j.apsusc.2024.160655}}, volume = {{670}}, year = {{2024}}, } @inproceedings{56863, author = {{Schiebel, Fabian Benedikt and Sattler, Florian and Schubert, Philipp Dominik and Apel, Sven and Bodden, Eric}}, booktitle = {{38th European Conference on Object-Oriented Programming (ECOOP 2024)}}, editor = {{Aldrich, Jonathan and Salvaneschi, Guido}}, isbn = {{978-3-95977-341-6}}, issn = {{1868-8969}}, pages = {{36:1–36:28}}, publisher = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}}, title = {{{Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report}}}, doi = {{10.4230/LIPIcs.ECOOP.2024.36}}, volume = {{313}}, year = {{2024}}, } @book{62826, abstract = {{Der Begriff 'Bildungsforschung' erweist sich als nicht minder umstritten als der Begriff der Bildung selbst. Bildungsforschung fungiert in der Diskussion häufig als eine Art Regenschirmbegriff, mit dem ein Forschungsprofil markiert wird, das es ermöglichen soll, schulische, insbesondere unterrichtsbezogene Bildungsprozesse empirisch zu erfassen und von Schüler_innen zu erwerbende Kompetenzen festzulegen und mit Hilfe quantitativer Verfahren zu evaluieren. Im Rahmen von anderen Forschungstraditionen geht man auf kritische Distanz zu diesem inhaltlich und methodisch allzu sehr eingeschränkten Verständnis von Bildungsforschung. Im Zentrum des Bandes stehen erziehungswissenschaftliche Zugänge und Beiträge zur Bildungsforschung und damit verbundene disziplinäre Perspektiven und forschungsmethodologische Fragestellungen.}}, editor = {{Drerup, Johannes and Göddertz, Nina and Ruprecht, Mattig and Thole, Werner and Uhlendorff, Uwe}}, isbn = {{9783662669235}}, pages = {{1--9}}, publisher = {{Metzler}}, title = {{{Bildungsforschung}}}, year = {{2024}}, } @inproceedings{54025, abstract = {{Excellent Information Systems (IS) bachelor or master student theses have the potential to inform the scientific community about interesting findings about IS phenomena. However, transforming such theses into scientific working papers is not only time-consuming for the student and the supervisor, but also purely voluntary. Part of the problem is that few IS faculties offer any structured course for the transformation process as part of their curriculum. This significantly reduces the proportion of outstanding theses that are developed into working papers and, ultimately, into publications, resulting in a loss of knowledge for the broader IS community. To address this structural deficit, we aim to develop and implement a credit course and open educational resources (e.g., course schedule, slides, videos) that support students in developing their theses into publishable scientific research papers. This approach not only enriches the scientific discourse but also presents a research-oriented educational disruption for the IS community.}}, author = {{Althaus, Maike and Hansmeier, Philipp}}, booktitle = {{Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)}}, keywords = {{Student Thesis, Scientific Publishing, Course Implementation}}, location = {{Paphos, Cyprus}}, title = {{{The Imperative of Revival Strategies through Digital Transformation in the Cultural Sector - A Taxonomy Approach}}}, year = {{2024}}, } @inproceedings{54454, author = {{Hansmeier, Philipp and zur Heiden, Philipp and Beverungen, Daniel}}, booktitle = {{Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)}}, location = {{Paphos}}, title = {{{MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE }}}, year = {{2024}}, } @inproceedings{54453, author = {{Hansmeier, Philipp and zur Heiden, Philipp}}, booktitle = {{Proceedings of the Thirty-Second European Conference on Information Systems (ECIS 2024)}}, location = {{Paphos}}, title = {{{CONCEPTUALIZING A HYBRID (ONLINE-OFFLINE) EXPERIENCE FRAMEWORK FOR CULTURAL EVENTS }}}, year = {{2024}}, } @article{62849, abstract = {{AbstractAn on-demand source of bright entangled photon pairs is desirable for quantum key distribution (QKD) and quantum repeaters. The leading candidate to generate such pairs is based on spontaneous parametric down-conversion (SPDC) in non-linear crystals. However, its pair extraction efficiency is limited to 0.1% when operating at near-unity fidelity due to multiphoton emission at high brightness. Quantum dots in photonic nanostructures can in principle overcome this limit, but the devices with high entanglement fidelity (99%) have low pair extraction efficiency (0.01%). Here, we show a measured peak entanglement fidelity of 97.5% ± 0.8% and pair extraction efficiency of 0.65% from an InAsP quantum dot in an InP photonic nanowire waveguide. We show that the generated oscillating two-photon Bell state can establish a secure key for peer-to-peer QKD. Using our time-resolved QKD scheme alleviates the need to remove the quantum dot energy splitting of the intermediate exciton states in the biexciton-exciton cascade.}}, author = {{Pennacchietti, Matteo and Cunard, Brady and Nahar, Shlok and Zeeshan, Mohd and Gangopadhyay, Sayan and Poole, Philip J. and Dalacu, Dan and Fognini, Andreas and Jöns, Klaus and Zwiller, Val and Jennewein, Thomas and Lütkenhaus, Norbert and Reimer, Michael E.}}, issn = {{2399-3650}}, journal = {{Communications Physics}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Oscillating photonic Bell state from a semiconductor quantum dot for quantum key distribution}}}, doi = {{10.1038/s42005-024-01547-3}}, volume = {{7}}, year = {{2024}}, } @inproceedings{62852, author = {{Gyger, Samuel and Tao, Max and Colangelo, Marco and Christen, Ian and Larocque, Hugo and Zichi, Julian and Schweickert, Lucas and Elshaari, Ali and Steinhauer, Stephan and Covre da Silva, Saimon and Rastelli, Armando and Sattari, Hamed and Chong, Gregory and Pétremand, Yves and Prieto, Ivan and Yu, Yang and Ghadimi, Amir and Englund, Dirk and Jöns, Klaus and Zwiller, Val and Errando Herranz, Carlos}}, booktitle = {{Quantum Computing, Communication, and Simulation IV}}, editor = {{Hemmer, Philip R. and Migdall, Alan L.}}, publisher = {{SPIE}}, title = {{{Integrating superconducting single-photon detectors into active photonic circuits}}}, doi = {{10.1117/12.3009736}}, year = {{2024}}, } @inproceedings{62850, author = {{Mikitta, Telsche and Cutuk, Ana and Jetter, Michael and Michler, Peter and Jöns, Klaus and Kahle, Hermann}}, booktitle = {{Vertical External Cavity Surface Emitting Lasers (VECSELs) XIII}}, editor = {{Keller, Ursula}}, publisher = {{SPIE}}, title = {{{Membrane external-cavity surface-emitting lasers (MECSELs) optimized for double-side-pumping: a first fundamental single-side pumping characterization}}}, doi = {{10.1117/12.3002481}}, year = {{2024}}, } @article{62873, abstract = {{AbstractVapor phase infiltration (VPI) has emerged as a promising tool for fabrication of novel hybrid materials. In the field of polymeric gas separation membranes, a beneficial impact on stability and membrane performance is known for several polymers with differing functional groups. This study for the first time investigates VPI of trimethylaluminum (TMA) into poly(1‐trimethylsilyl‐1‐propyne) (PTMSP), featuring a carbon–carbon double bond as functional group. Saturation of the precursor inside the polymer is already attained after 60 s infiltration time leading to significant densification of the material. Depth profiling proves accumulation of aluminum in the polymer itself, but a significantly increased accumulation is visible in the gradient layer between polymer and SiO2 substrate. A reaction pathway is proposed and supplemented by density‐functional theory (DFT) calculations. Infrared spectra derived from both experiments and simulation support the presented reaction pathway. In terms of permeance, a favorable impact on selectivity is observed for infiltration times up to 1 s. Longer infiltration times yield greatly reduced permeance values close or even below the detection limit of the measurement device. The present results of this study set a strong basis for the application of VPI on polymers for gas‐barrier and membrane applications in the future.}}, author = {{Jenderny, Jonathan and Boysen, Nils and Rubner, Jens and Zysk, Frederik and Preischel, Florian and de los Arcos de Pedro, Maria Teresa and Damerla, Varun Raj and Kostka, Aleksander and Franke, Jonas and Dahlmann, Rainer and Kühne, Thomas D. and Wessling, Matthias and Awakowicz, Peter and Devi, Anjana}}, issn = {{2196-7350}}, journal = {{Advanced Materials Interfaces}}, number = {{28}}, publisher = {{Wiley}}, title = {{{Tuning the Permeation Properties of Poly(1‐trimethylsilyl‐1‐propyne) by Vapor Phase Infiltration Using Trimethylaluminum}}}, doi = {{10.1002/admi.202400171}}, volume = {{11}}, year = {{2024}}, } @article{52876, author = {{Arends, Christian and Wolf, Lasse Lennart and Meinecke, Jasmin and Barkhofen, Sonja and Weich, Tobias and Bartley, Tim}}, issn = {{2643-1564}}, journal = {{Physical Review Research}}, keywords = {{General Physics and Astronomy}}, number = {{1}}, publisher = {{American Physical Society (APS)}}, title = {{{Decomposing large unitaries into multimode devices of arbitrary size}}}, doi = {{10.1103/physrevresearch.6.l012043}}, volume = {{6}}, year = {{2024}}, }