@article{62652, abstract = {{Driven by the urgent need for a green, safe, and cost‐effective approach to producing H2 and H2O2—both highly valuable in green energy and environmental protection fields—piezocatalysis, which converts mechanical energy into valuable chemicals, has emerged as a promising solution. However, current catalyst systems face challenges due to the need for materials with both a strong piezoelectric effect and favorable catalytic activity. Herein, the construction of an oxidized carbon nitride (g‐C3N4) matrix anchored with TiO2 nanoparticles via alkaline hydrothermal treatment is reported. Under ultrasonication, the g‐C3N4/TiO2 composite exhibits optimal performance under carefully controlled alkaline hydrothermal conditions. With a low concentration of Ba(OH)2 during hydrothermal treatment, Ba(OH)2 provides an alkaline medium, oxidizing the g‐C3N4 species and introducing structural defects into the g‐C3N4 framework. The disruption of the g‐C3N4 matrix, along with its interaction with TiO2 nanoparticles, enhances the piezoelectric effect. Consequently, the oxidized g‐C3N4/TiO2 composite achieves a remarkable H2 production rate of 4427.2 μmol g−1 and an H2O2 production rate of 809.3 μmol g−1 within 1 h without the addition of any sacrificial agents or cocatalysts. This work presents an effective strategy for the structural optimization of g‐C3N4‐based materials and may inspire new approaches for designing advanced piezocatalysts.}}, author = {{Pan, Ying and Liao, Luocheng and Zhang, Xinwen and Liu, Yunya and Su, Ran and Lopez Salas, Nieves}}, issn = {{1864-5631}}, journal = {{ChemSusChem}}, number = {{19}}, publisher = {{Wiley}}, title = {{{Oxidation‐Enhanced Piezocatalytic Activity in Carbon Nitride‐Based Catalysts for Hydrogen and Hydrogen Peroxide Production}}}, doi = {{10.1002/cssc.202500980}}, volume = {{18}}, year = {{2025}}, } @article{58650, abstract = {{Technical systems are characterized by increasing interdisciplinarity, complexity and networking. A product and its corresponding production systems require interdisciplinary multi-objective optimization. Sustainability and recyclability demands increase said complexity. The efficiency of previously established engineering methods is reaching its limits, which can only be overcome by systematic integration of extreme data. The aim of "hybrid decision support" is as follows: Data science and artificial intelligence should be used to supplement human capabilities in conjunction with existing heuristics, methods, modeling and simulation to increase the efficiency of product creation.}}, author = {{Gräßler, Iris and Pottebaum, Jens and Nyhuis, Peter and Stark, Rainer and Thoben, Klaus-Dieter and Wiederkehr, Petra}}, issn = {{2942-6170}}, journal = {{Industry 4.0 Science}}, keywords = {{AI, artificial intelligence, Data Science, decision support, extreme data, Künstliche Intelligenz, product creation, product development}}, number = {{1}}, publisher = {{GITO mbH Verlag}}, title = {{{Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence}}}, doi = {{10.30844/i4sd.25.1.18}}, volume = {{2025}}, year = {{2025}}, } @article{58556, abstract = {{To predict and prevent uneven tire wear in addition to a reduction of overall tire wear, it is essential to estimate not only the total amount of wear but also how the wear is distributed across the tire width. This requires knowledge of the frictional power distribution in the tire contact patch, which is the basis for calculating tire wear using a wear law. Usually, only 3D structural tire models can generate such distributed contact results. However, they involve high computational costs and cannot be used for comprehensive optimization of a vehicle’s suspension system with respect to tire wear characteristics. Hence, this contribution presents a methodology on how to accelerate the prediction of the frictional power distribution using two components: The structural tire model is replaced by an empirical tire model that on its own is not able to generate distributed contact results. Therefore, an artificial neural network is trained to predict the desired contact results from the kinematic quantities calculated by the empirical tire model. In the initial training phase, both components are fitted to data generated by the original complex tire model. After training, the empirical tire model can replace the structural tire model in vehicle simulations, resulting in significantly shorter calculation times. The simulation results are fed into the artificial neural network, which predicts the frictional power distributions over the tire width with negligible additional effort. Overall, the methodology reduces calculation time for the prediction of tire wear based on virtual test drives to approximately 25% of the time needed when using structural tire models.}}, author = {{Muth, Lars and Zharia, Raphael and Sahin, Hürkan and Sextro, Walter}}, journal = {{Tire Science and Technology}}, publisher = {{The Tire Society}}, title = {{{Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network}}}, doi = {{https://doi.org/10.2346/TST-24-009}}, year = {{2025}}, } @article{59229, abstract = {{Die Nahrungszubereitung als zentraler Bestandteil eines haushaltsbezogenen Unterrichts dient der Anbahnung von Kompetenzen für die Zubereitung von Speisen und die Gestaltung von Mahlzeiten unter Berücksichtigung von Gesundheit und Nachhaltigkeit. Ebenso bedeutsam, jedoch häufig vernachlässigt, ist die Berücksichtigung unterschiedlicher Esskulturen, lebensweltlicher Erfahrungen und sozioökonomischer Hintergründe der Lernenden.}}, author = {{Schlegel-Matthies, Kirsten}}, issn = {{2193-8806}}, journal = {{HiBiFo – Haushalt in Bildung & Forschung}}, number = {{1}}, pages = {{49--63}}, publisher = {{Verlag Barbara Budrich GmbH}}, title = {{{Essen in der Vielfalt – Esskultur und Nahrungszubereitung}}}, doi = {{10.3224/hibifo.v14i1.05}}, volume = {{14}}, year = {{2025}}, } @phdthesis{59239, abstract = {{Diese Arbeit behandelt die Modellierung und Optimierung von mit Phasenwechselmaterialien (PCM) ausgestatteten, energietechnischen Komponenten anhand zweier Fallstudien. PCM sind Materialien, deren Phasenwechseleigenschaften während des Schmelzens und Erstarrens für Heiz- und Kühlzwecke genutzt werden. Zunächst werden die theoretischen Grundlagen zu Wärmeübertragungsproblemen mit Phasenwechsel erörtert und entsprechende numerische Lösungsmethoden diskutiert. Ein Modell für Phasenwechselvorgänge wird vorgestellt, welches anhand analytischer Lösungen validiert wurde und in den Fallstudien zum Einsatz kam. Für beide Fallstudien wird der Stand der Technik erörtert und die entsprechenden Forschungsfragen werden formuliert. Die erste Fallstudie behandelt PCM-integrierte Photovoltaikmodule und die zweite Festbett-Latentwärmespeicher, welche nicht-kugelförmiger PCM-Kapseln verwenden. Für beide Systeme wurden thermische Model-le entwickelt und anhand experimenteller Daten mit guter Genauigkeit validiert. Diese Modelle wurden in Parameterstudien eingesetzt, um optimierte Systemkonfigurationen zu identifizieren. Die vorgestellten Ergebnisse zeigen, dass ein PCM-Kühlkörper mit ausreichender Dicke und Wärmeleitfähigkeit den Wirkungsgrad und die Lebensdauer von Photovoltaikmodulen erheblich erhöht. Darüber hinaus verbessern PCM-Kapseln mit hoher Packungs-dichte und Oberfläche sowohl die volumenspezifische Speicherkapazität als auch die thermische Leistung von Festbett-Latentwärmespeichern.}}, author = {{Grabo, Matti}}, keywords = {{Heat transfer, PCM, numerical simulation, renewable energy, heat storage}}, title = {{{Modeling and optimization of energy system components equipped with phase change materials}}}, doi = {{10.17619/UNIPB/1-2199}}, year = {{2025}}, } @article{60186, author = {{Lang, A and Schaefer, E and Kupriyanova, Y and Goletzke, J and Weber, KS and Buyken, Anette and Kahl, S and Zaharia, OP and Herder, C and Schrauwen-Hinderling, VB and Kuss, O and Wagner, R and Roden, M and Schlesinger, S and Diabetes Study Group, German}}, issn = {{1475-2891}}, journal = {{Nutr J}}, number = {{1}}, pages = {{74}}, title = {{{Cross-sectional association between the isocaloric replacement of carbohydrates with protein and fat in relation to fat compartments distribution and hepatic lipid content in recent-onset type 1 and type 2 diabetes.}}}, volume = {{24}}, year = {{2025}}, } @article{60182, author = {{Perrar, I and Hohoff, E and Lesani, A and Schmitting, S and Libuda, Lars and Krüger, Bettina and Stutz, Bianca and Nöthlings, U and Buyken, Anette and Alexy, U and Jankovic, N}}, issn = {{1436-6207}}, journal = {{Eur J Nutr}}, number = {{4}}, pages = {{165}}, title = {{{Circadian eating patterns track from infancy to pre- and primary school-age, but are not prospectively associated with body composition in childhood - Results of the DONALD cohort study.}}}, volume = {{64}}, year = {{2025}}, } @article{60184, author = {{Della Corte, KA and Bosler, T and McClure, C and Buyken, Anette and LeCheminant, JD and Schwingshackl, L and Della Corte, D}}, issn = {{2161-8313}}, journal = {{Adv Nutr}}, number = {{5}}, pages = {{100413}}, title = {{{Dietary Sugar Intake and Incident Type 2 Diabetes Risk: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies.}}}, volume = {{16}}, year = {{2025}}, } @article{60187, author = {{Revheim, I and Sabir, Z and Dierkes, J and Buyken, Anette and Landberg, R and Alten, I and Spielau, U and Rosendahl-Riise, H}}, issn = {{1436-6207}}, journal = {{Eur J Nutr}}, number = {{5}}, pages = {{197}}, title = {{{Bread, wholegrain consumption and weight change from middle to late adulthood: a prospective cohort study. }}}, volume = {{64}}, year = {{2025}}, } @article{60181, author = {{Dannheim, I and Ludwig-Walz, H and Kirsch, H and Bujard, M and Buyken, Anette and Richardson, KM and Kroke, A}}, issn = {{0355-3140}}, journal = {{Scand J Work Environ Health}}, pages = {{4219}}, title = {{{Effectiveness of leader-targeted stress management interventions: A systematic review and meta-analysis.}}}, year = {{2025}}, } @article{60174, abstract = {{Fähigkeiten zur Wahrnehmung und Regulation von Emotionen sind von besonderer Relevanz für Studierende, da Fördermaßnahmen im Bereich der Emotionsregulation auch positive Effekte auf die Studienqualität, den Studienerfolg und die allgemeine Persönlichkeitsentwicklung haben können. Jedoch wird diesem Thema wenig Aufmerksamkeit geschenkt und hochschuldidaktisch steht die Gestaltung von kognitiven und inhaltsbezogenen Lernarrangements im Zentrum. Die Einbindung von Gelegenheiten zur Emotionsreflexion in die Lehre bietet eine niederschwellige Maßnahme zur Förderung emotionaler Kompetenzen, weshalb im vorliegenden Beitrag ein Instrument zur Umsetzung dieser Aufgabe vorgeschlagen wird.}}, author = {{Lehberger, Regine}}, issn = {{2219-6994}}, journal = {{Zeitschrift für Hochschulentwicklung}}, keywords = {{Emotionsreflexion, Studierende, Hochschullehre, Reflexion}}, number = {{1}}, publisher = {{OAPublishing Collective}}, title = {{{Emotionsreflexion als Element universitären Lehrens und Lernens Emotional reflection as an element of university teaching and learning}}}, doi = {{10.21240/zfhe/20-1/22}}, volume = {{20}}, year = {{2025}}, } @inproceedings{60219, author = {{Vermetten, Diederick and Rook, Jeroen and Preuß, Oliver Ludger and de Nobel, Jacob and Doerr, Carola and López-Ibáñez, Manuel and Trautmann, Heike and Bäck, Thomas}}, booktitle = {{Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I}}, editor = {{Singh, Hemant K. and Ray, Tapabrata and Knowles, Joshua D. and Li, Xiaodong and Branke, Juergen and Wang, Bing and Oyama, Akira}}, pages = {{242–256}}, publisher = {{Springer}}, title = {{{MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler}}}, doi = {{10.1007/978-981-96-3506-1_17}}, volume = {{15512}}, year = {{2025}}, } @article{60220, author = {{Seiler, Moritz and Kerschke, Pascal and Trautmann, Heike}}, journal = {{Evolutionary Computation}}, pages = {{1--27}}, title = {{{Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems }}}, doi = {{https://doi.org/10.1162/evco_a_00367}}, year = {{2025}}, } @article{60299, abstract = {{Non-rotationally symmetrical joints can have different properties that can be controlled by the joint orientation. This hypothesis is tested using a Reuleaux triangle joint geometry. A tool design is carried out, followed by a numerical sensitivity analysis of the tool geometry. Initial tools were manufactured for experimental investigations and then adapted based on the findings of the sensitivity analysis. The joints are characterized by micrographs, 3D scans, shear tensile tests, head tensile tests and three-point bending tests and compared with a round geometry. The analysis confirms the hypothesis. Thus, joints with adaptable properties can be produced with one tool set.}}, author = {{Steinfelder, Christian and Acksteiner, Clemens and Brosius, Alexander}}, issn = {{0007-8506}}, journal = {{CIRP Annals}}, keywords = {{Joining, Forming, Property adjustment}}, publisher = {{Elsevier BV}}, title = {{{A new joint with versatile properties based on a Reuleaux triangle geometry}}}, doi = {{10.1016/j.cirp.2025.03.002}}, year = {{2025}}, } @misc{60336, author = {{Schlegel-Matthies, Kirsten}}, booktitle = {{Haushalt in Bildung und Forschung}}, issn = {{2196-1662}}, number = {{1}}, pages = {{49--63}}, title = {{{Essen in der Vielfalt – Esskultur und Nahrungszubereitung}}}, volume = {{14}}, year = {{2025}}, } @article{60298, abstract = {{In this work, we introduce PHOENIX, a highly optimized explicit open-source solver for two-dimensional nonlinear Schrödinger equations with extensions. The nonlinear Schrödinger equation and its extensions (Gross-Pitaevskii equation) are widely studied to model and analyze complex phenomena in fields such as optics, condensed matter physics, fluid dynamics, and plasma physics. It serves as a powerful tool for understanding nonlinear wave dynamics, soliton formation, and the interplay between nonlinearity, dispersion, and diffraction. By extending the nonlinear Schrödinger equation, various physical effects such as non-Hermiticity, spin-orbit interaction, and quantum optical aspects can be incorporated. PHOENIX is designed to accommodate a wide range of applications by a straightforward extendability without the need for user knowledge of computing architectures or performance optimization. The high performance and power efficiency of PHOENIX are demonstrated on a wide range of entry-class to high-end consumer and high-performance computing GPUs and CPUs. Compared to a more conventional MATLAB implementation, a speedup of up to three orders of magnitude and energy savings of up to 99.8% are achieved. The performance is compared to a performance model showing that PHOENIX performs close to the relevant performance bounds in many situations. The possibilities of PHOENIX are demonstrated with a range of practical examples from the realm of nonlinear (quantum) photonics in planar microresonators with active media including exciton-polariton condensates. Examples range from solutions on very large grids, the use of local optimization algorithms, to Monte Carlo ensemble evolutions with quantum noise enabling the tomography of the system's quantum state.}}, author = {{Wingenbach, Jan and Bauch, David and Ma, Xuekai and Schade, Robert and Plessl, Christian and Schumacher, Stefan}}, issn = {{0010-4655}}, journal = {{Computer Physics Communications}}, publisher = {{Elsevier BV}}, title = {{{PHOENIX – Paderborn highly optimized and energy efficient solver for two-dimensional nonlinear Schrödinger equations with integrated extensions}}}, doi = {{10.1016/j.cpc.2025.109689}}, volume = {{315}}, year = {{2025}}, } @article{60471, author = {{Knoll-Pientka, N and Schils, D and Pasternak, K and Czarnetzky, S and Jansen, C and Gradl-Dietsch, G and Seitz, J and Skoda, EM and Libuda, Lars and Schweda, A and Teufel, M}}, issn = {{2050-2974}}, journal = {{J Eat Disord}}, number = {{1}}, pages = {{87}}, title = {{{Can bioelectrical impedance analysis be used to identify water loading in patients with anorexia nervosa?- Implications from experimental measurements in young, healthy, and normal weight women.}}}, volume = {{13}}, year = {{2025}}, } @inproceedings{60493, abstract = {{Heat pumps play a crucial role in decarbonizing the chemical industry. The integration and sizing of heat pumps in chemical processes is a challenging task in multi-product chemical processes due to the fluctuating waste heat supply and heat demand. Integrating heat pumps may require a retrofit of the utility system. Mathematical optimization is a useful tool to tackle this challenge by enabling the analysis of correlation between relevant system parameters and equipment sizing. This study demonstrates the utilization of mathematical optimization and parameter studies for utility system equipment sizing addressing fluctuating heat supply and demand profiles.}}, author = {{Hochhaus, Thorben and Wloch, Johannes and Grünewald, Marcus and Riese, Julia}}, booktitle = {{Systems and Control Transactions}}, issn = {{2818-4734}}, publisher = {{PSE Press}}, title = {{{A Data-Driven Conceptual Approach to Heat Pump Sizing in Chemical Processes with Fluctuating Heat Supply and Demand}}}, doi = {{10.69997/sct.196662}}, volume = {{4}}, year = {{2025}}, } @article{60580, abstract = {{AbstractAlInP (001) is widely utilized as a window layer in optoelectronic devices, including world‐record III‐V multi‐junction solar cells and photoelectrochemical (PEC) cells. The chemical and electronic properties of AlInP (001) depend on its surface reconstruction, which impacts its interaction with electrolytes in PEC applications and passivation layers. This study investigates AlInP (001) surface reconstructions using density functional theory and experimental methods. Phosphorus‐rich (P‐rich) and indium‐rich (In‐rich) AlInP surfaces are prepared with in situ monitoring of the process by reflection anisotropy (RA) spectroscopy and confirmed by low‐energy electron diffraction and photoemission spectroscopy. The experimental RA spectra closely match the theoretical predictions obtained by solving the Bethe–Salpeter equation. It is shown that missing hydrogen on P‐rich surfaces and formation of In–In 1D atomic chains on In‐rich surfaces introduce mid‐gap surface states that pin the Fermi level and induce band bending. Time‐resolved two‐photon photoemission measurements reveal ultrafast near‐surface electron dynamics for both P‐rich and In‐rich surfaces, demonstrating photoexcited electrons reaching the surface conduction band minimum and relaxing to mid‐gap surface states on about hundreds of fs. This work provides the most extensive AlInP surface analysis to date, allowing for more targeted surface and interface engineering, which is crucial for the optimization and design of III‐V heterostructures.}}, author = {{Zare Pour, Mohammad Amin and Shekarabi, Sahar and Ruiz Alvarado, Isaac Azahel and Diederich, Jonathan and Gao, Yuyings and Paszuk, Agnieszka and Moritz, Dominik C. and Jaegermann, Wolfram and Friedrich, Dennis and van de Krol, Roel and Schmidt, Wolf Gero and Hannappel, Thomas}}, issn = {{1616-301X}}, journal = {{Advanced Functional Materials}}, publisher = {{Wiley}}, title = {{{Exploring Electronic States and Ultrafast Electron Dynamics in AlInP Window Layers: The Role of Surface Reconstruction}}}, doi = {{10.1002/adfm.202423702}}, year = {{2025}}, } @inproceedings{60813, author = {{Seiler, Moritz and Preuß, Oliver Ludger and Trautmann, Heike}}, booktitle = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}}, editor = {{Filipic, Bogdan}}, pages = {{76–84}}, publisher = {{ACM}}, title = {{{RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces}}}, doi = {{10.1145/3712256.3726478}}, year = {{2025}}, }