@inproceedings{63443,
  author       = {{Moritzer, Elmar and Lingnau, Kai}},
  booktitle    = {{Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2025)}},
  keywords     = {{Lackierung, Pulverlack, Spritzgießen}},
  title        = {{{PROCESS DEVELOPMENT OF A POWDER-BASED DIRECT COATING IN THE INJECTION MOLDING PROCESS}}},
  year         = {{2025}},
}

@article{60217,
  author       = {{Görel, Gamze and Franzen, Katja and Hellmich, Frank}},
  journal      = {{Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie}},
  number       = {{1}},
  pages        = {{18--23}},
  title        = {{{ Prädiktoren für die Selbstwirksamkeitsüberzeugungen von angehenden Lehrkräften im Zusammenhang mit der Gestaltung inklusiven Unterrichts.}}},
  doi          = {{10.1026/0049-8637/a000307}},
  volume       = {{57}},
  year         = {{2025}},
}

@article{62015,
  author       = {{Löper, Marwin Felix and Hassani, Sepideh and Görel, Gamze and Schwab, Susanne and Hellmich, Frank}},
  journal      = {{Journal of Research in Special Educational Needs}},
  number       = {{1}},
  pages        = {{1--14}},
  title        = {{{Effects of a social participation intervention on primary school students’ attitudes toward peers with disabilities (accepted)}}},
  doi          = {{10.1111/1471-3802.70050}},
  volume       = {{26}},
  year         = {{2025}},
}

@article{63476,
  abstract     = {{<jats:title>ABSTRACT</jats:title><jats:p>We develop a three‐component Model Predictive Control (MPC) algorithm to achieve output‐reference tracking with prescribed performance for continuous‐time nonlinear systems. One component is the so‐called funnel MPC, which achieves reference tracking with prescribed performance for the model output for suitable models. Recently, this MPC algorithm has been combined with a model‐free reactive feedback controller (second component) to account for model‐plant mismatches, bounded disturbances, and uncertainties. By construction, this two‐component controller defines a robust funnel MPC algorithm. It achieves output‐reference tracking within prescribed bounds on the tracking error for a class of unknown nonlinear systems. In this paper, we extend the robust funnel MPC by a machine learning component to adapt the underlying model to the system data and, thus, improve the contribution of MPC. We derive sufficient structural conditions to define a class of models for funnel MPC, and provide a characterization of suitable learning schemes. Since robust funnel MPC is inherently robust and the evolution of the tracking error in the prescribed performance funnel is guaranteed, the additional learning component can perform the learning task online—even without an initial model or offline training.</jats:p>}},
  author       = {{Lanza, Lukas and Dennstädt, Dario and Berger, Thomas and Worthmann, Karl}},
  issn         = {{1049-8923}},
  journal      = {{International Journal of Robust and Nonlinear Control}},
  number       = {{13}},
  pages        = {{5569--5582}},
  publisher    = {{Wiley}},
  title        = {{{Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error}}},
  doi          = {{10.1002/rnc.8001}},
  volume       = {{35}},
  year         = {{2025}},
}

@article{63477,
  author       = {{Göbel, Jens and Dennstädt, Dario and Lanza, Lukas and Worthmann, Karl and Berger, Thomas and Damm, Tobias}},
  issn         = {{2475-1456}},
  journal      = {{IEEE Control Systems Letters}},
  pages        = {{1622--1627}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{On Model Predictive Funnel Control With Equilibrium Endpoint Constraints}}},
  doi          = {{10.1109/lcsys.2025.3580028}},
  volume       = {{9}},
  year         = {{2025}},
}

@article{63474,
  author       = {{Lanza, Lukas and Köhler, Johannes and Dennstädt, Dario and Berger, Thomas and Worthmann, Karl}},
  issn         = {{2475-1456}},
  journal      = {{IEEE Control Systems Letters}},
  pages        = {{1183--1188}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{A Model-Free Approach to Control Barrier Functions Using Funnel Control}}},
  doi          = {{10.1109/lcsys.2025.3581519}},
  volume       = {{9}},
  year         = {{2025}},
}

@article{63475,
  author       = {{Dennstädt, Dario}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  number       = {{14}},
  pages        = {{7--12}},
  publisher    = {{Elsevier BV}},
  title        = {{{A low-complexity funnel control approach for non-linear systems of higher-order}}},
  doi          = {{10.1016/j.ifacol.2025.12.117}},
  volume       = {{59}},
  year         = {{2025}},
}

@unpublished{63478,
  abstract     = {{We address the problem of output reference tracking for unknown nonlinear multi-input, multi-output systems with relative degree two and bounded-input bounded-state (BIBS) stable internal dynamics. We propose a novel model-free adaptive controller that ensures the evolution of the tracking error within prescribed performance funnel boundaries. By applying an output filter, the control objective is achieved without utilizing derivative information of system's output. The controller is illustrated by a numerical example.}},
  author       = {{Dennstädt, Dario and Schaa, J. and Berger, T.}},
  booktitle    = {{arXiv:2512.17806}},
  title        = {{{Funnel control with input filter for nonlinear systems of relative degree two}}},
  year         = {{2025}},
}

@article{58116,
  author       = {{Mohammadian, Noushin and Fatahi Valilai, Omid and Schlüter, Alexander}},
  issn         = {{2199-8531}},
  journal      = {{Journal of Open Innovation: Technology, Market, and Complexity}},
  number       = {{1}},
  publisher    = {{Elsevier BV}},
  title        = {{{Sustainable design and repair: Leveraging circular economy and machine learning for product development}}},
  doi          = {{10.1016/j.joitmc.2025.100469}},
  volume       = {{11}},
  year         = {{2025}},
}

@inproceedings{63019,
  author       = {{Donner, Johannes Aurelius Tamino and Schlüter, Alexander}},
  booktitle    = {{SDEWES Conference 2025}},
  keywords     = {{5GDHC, district heating, DHC, waste heat, AI-Driven}},
  location     = {{Dubrovnik}},
  title        = {{{Development of an AI-driven decentralized control for fifth generation district heating and cooling networks}}},
  year         = {{2025}},
}

@article{63495,
  abstract     = {{Inhalt Der Leitfaden der Wissenschaftlichen Gesellschaft für Produktentwicklung (WiGeP) dient als umfassende Orientierung für die Gestaltung der universitären Lehre im Bereich der Produktentwicklung. Er wurde überarbeitet, um aktuellen gesellschaftlichen Herausforderungen wie dem Klimawandel, sinkenden Studierendenzahlen und abnehmenden technischen Vorkenntnissen zu begegnen. Ein zentrales Anliegen ist es, Ingenieurinnen und Ingenieure zu befähigen, aktiv zur Lösung globaler Probleme beizutragen. Didaktisch wird der Einsatz moderner Lehrmethoden wie Projektarbeit, Flipped-Classroom, digitale Tools, VR-Lernen sowie adäquater Prüfungsformate nach Taxonomiestufen empfohlen. Inhaltlich stehen Maschinenelemente, methodische und virtuelle Produktentwicklung im Fokus, ergänzt durch interdisziplinäre Themen wie Nachhaltigkeit, Digitalisierung und Technikethik. Zudem wird die Bedeutung technischer Bildung an allgemeinbildenden Schulen hervorgehoben, um die Studierfähigkeit und Begeisterung für Technik frühzeitig zu fördern.
Der Leitfaden richtet sich an Lehrende an Hochschulen, Hochschuldidaktiker, Studiengangverantwortliche sowie bildungspolitische Entscheidungsträger und interessierte Akteure aus Gesellschaft und Industrie. Insgesamt versteht sich der Leitfaden als strategisches und operatives Werkzeug zur Weiterentwicklung der ingenieurwissenschaftlichen Lehre mit dem Ziel, exzellent ausgebildete und gesellschaftlich verantwortungsbewusste Produktentwicklerinnen und Produktentwickler für die Zukunft zu qualifizieren.}},
  author       = {{Bender, Beate and Husung, Stephan and Kirchner, Eckhard and Kletzin, Ulf and Kossack, Frederike and Lohrengel, Armin and Magyar, Balázs and Riedel, Oliver and Stahl, Karsten}},
  issn         = {{0720-5953}},
  journal      = {{Konstruktion}},
  number       = {{10}},
  pages        = {{54--65}},
  publisher    = {{VDI Fachmedien GmbH and Co. KG}},
  title        = {{{Universitäre Lehre in der Produktentwicklung/Academic teaching in product development}}},
  doi          = {{10.37544/0720-5953-2025-10-54}},
  volume       = {{77}},
  year         = {{2025}},
}

@article{59056,
  author       = {{Seeger, Karl and Genovese, Matteo and Schlüter, Alexander and Kockel, Christina and Corigliano, Orlando and Díaz Canales, Edith Benjamina and Praktiknjo, Aaron and Fragiacomo, Petronilla}},
  issn         = {{0360-3199}},
  journal      = {{International Journal of Hydrogen Energy}},
  pages        = {{558--576}},
  publisher    = {{Elsevier BV}},
  title        = {{{Techno-economic analysis of hydrogen and green fuels supply scenarios assessing three import routes: Canada, Chile, and Algeria to Germany}}},
  doi          = {{10.1016/j.ijhydene.2025.02.379}},
  volume       = {{116}},
  year         = {{2025}},
}

@article{63498,
  author       = {{Kirchgässner, Wilhelm and Förster, Nikolas and Piepenbrock, Till and Schweins, Oliver and Wallscheid, Oliver}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Mathematical models, Estimation, Data models, Convolutional neural networks, Accuracy, Magnetic hysteresis, Magnetic cores, Temperature measurement, Magnetic domains, Temperature distribution, Convolutional neural network (CNN), machine learning (ML), magnetics}},
  number       = {{2}},
  pages        = {{3326--3335}},
  title        = {{{HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores}}},
  doi          = {{10.1109/TPEL.2024.3488174}},
  volume       = {{40}},
  year         = {{2025}},
}

@inproceedings{63496,
  author       = {{Foerster, Nikolas and Urbaneck, Daniel and Schenke, Maximilian and Ebers, Anastacia and Schoenlau, Nicolas and Wallscheid, Oliver and Schafmeister, Frank}},
  booktitle    = {{PCIM Conference 2025; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management}},
  pages        = {{2881--2890}},
  title        = {{{Improving the Usability of Calorimetric Measuring Chambers for Reliable Thermal Measurements}}},
  doi          = {{10.30420/566541386}},
  year         = {{2025}},
}

@article{60837,
  abstract     = {{In light of growing demands for resource efficiency and sustainability in vehicle engineering, the environmentally compatible separation of structural adhesive joints is gaining increasing relevance. This study presents a comparative analysis of two physically based debonding methods: the established hot-air process and a cryogenic cold process based on liquid nitrogen (LN2). The primary objective is to assess the ecological impact and process-related sustainability of both approaches.
Experimental investigations were conducted on a component-representative triple-sheet structure that simulates common automotive flange joints. Thermal input was applied either by convective heating using a hot air gun or by direct cooling through a contact-based LN2 tool. The resulting temperature profiles were recorded using spatially distributed thermocouples. Subsequently, the outer panel was selectively debonded to replicate a repair scenario, and the mechanical integrity of the remaining adhesive joint was evaluated through Mode I testing of L-shaped specimens. Process data served as input for an Life Cycle Assessment (LCA) according to DIN EN ISO 14040.
The cryogenic method achieved a 40% reduction in carbon footprint compared to the hot-air process (0.337 kg vs. 0.559 kg CO2-equivalents), primarily due to its shorter process time and more efficient heat transfer. While the hot-air method’s impact is mainly driven by electrical energy use, that of the cold method stems from cryogenic media consumption. Notwithstanding certain disadvantages in specific impact categories, the LN2-based process exhibits a superior overall ecological performance and signifies a promising solution for repair- and recycling-oriented adhesive separation in structural vehicle applications.}},
  author       = {{Jordan, Alex and Hermelingmeier, Lucas and Gilich, Julian and Meschut, Gerson and De Santis, Marco Sebastian and Schlüter, Alexander}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Sustainable debonding, Structural adhesives, Sustainable joining technologies, Life Cycle Assessment (LCA), Automotive repair process, Economically efficient debonding}},
  publisher    = {{Elsevier}},
  title        = {{{Comparison of the economic efficiency and sustainability of two debonding processes for structurally bonded sills}}},
  doi          = {{10.1016/j.jajp.2025.100332}},
  volume       = {{12}},
  year         = {{2025}},
}

@techreport{63209,
  abstract     = {{Die DFG-Projekte AddFeRo-PM (406108415) und AddFeRo-SR (465089065) untersuchten die Potenziale des LB-PBF/M-Verfahrens zur Herstellung von Rotoren für unterschiedliche elektrische Maschinen. Im interdisziplinären Ansatz wurden Materialentwicklung und mechanische sowie elektromagnetische Optimierung verbunden. Im Projekt „AddFeRo-PM“ wurde der Rotor einer permanentmagneterregten Synchron- maschine (PMSM) untersucht. FeSi erwies sich als geeignete Legierung, konnte aber wegen Spannungsrissen nur bis zu 3 % Siliziumanteil (kurz: FeSi3) verarbeitet werden. Mechanische und elektromagnetische Untersuchungen ermöglichten eine 3D-Optimierung der Rotorgeometrie und -struktur. Der Demonstrator wurde additiv gefertigt und zeigt Leicht-baupotenziale sowie reduzierte Drehmomentwelligkeit. Im Folgeprojekt „AddFeRo-SR“ kam eine Hochtemperatur-Bauraumheizung (HTBH) zum Einsatz, die FeSi mit 6,5 % Siliziumanteil verarbeitbar machte, welches bessere elektro- magnetische Eigenschaften bietet. Sie wurde bei einer Synchron-Reluktanzmaschine (SynRM) getestet. Eine hybride Rotorfertigung erwies sich jedoch aufgrund von HTBH-Einschränkungen als ungeeignet, weshalb eine einteilige Fertigung mit FeSi3 umgesetzt wurde. Experimente bestätigten vergleichbare Betriebsergebnisse zur konventionellen Fertigung bei reduzierter Rotormasse. Zusätzlich wurde eine Methodik entwickelt, um additive Verfahren als Ergänzung zur konventionellen Fertigung zu integrieren. Beide Projekte zeigen das Potenzial additiver Fertigung für Leichtbau und Wirkungsgradsteigerung im Elektromaschinenbau und bieten wertvolle Grundlagen für industrielle Anwendungen.}},
  author       = {{Haase, Michael and Behrendt, Marius and Hengsbach, Florian and Kunnathully Sathees Kumar, Vinay and Magerkohl, Sebastian and Magyar, Balázs and Ponick, Bernd and Schaper, Mirko and Zimmer, Detmar}},
  keywords     = {{Additive Fertigung, Elektromotor, Leichtbau, Synchronmotor, DFG}},
  publisher    = {{Technische Informationsbibliothek}},
  title        = {{{Additive Fertigung im Elektromaschinenbau: Erforschung von Potentialen der additiven Fertigung in Rotoren permanentmagneterregter Synchronmaschinen}}},
  doi          = {{10.34657/26753}},
  year         = {{2025}},
}

@article{60681,
  author       = {{Díaz Canales, Edith Benjamina and Avila Galarza, Alfredo and Schlüter, Sabine and Lacayo Escobar, Erick and Schlüter, Alexander}},
  issn         = {{3044-5221}},
  journal      = {{Journal of Sustainable Development Indicators}},
  number       = {{2}},
  pages        = {{1--26}},
  publisher    = {{SDEWES Centre}},
  title        = {{{Implementing Strategic Environmental Assessment in the Global South, a Challenge: Nicaragua as a Case Study}}},
  doi          = {{10.13044/j.sdi.d2.0592}},
  volume       = {{1}},
  year         = {{2025}},
}

@inbook{59841,
  author       = {{Genovese, Matteo and Piraino, Francesco and Corigliano, Orlando and Schlüter, Alexander and Scionti, Eugenio and Fragiacomo, Petronilla}},
  booktitle    = {{Accelerating the Transition to a Hydrogen Economy}},
  isbn         = {{9780443240027}},
  publisher    = {{Elsevier}},
  title        = {{{Hydrogen economy development in the European Union}}},
  doi          = {{10.1016/b978-0-443-24002-7.00005-7}},
  year         = {{2025}},
}

@article{63505,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>The main goal of this work is to study the $L^{p}$-asymptotic behavior of solutions to the heat equation on arbitrary rank Riemannian symmetric spaces of non-compact-type $G/K$ for non-bi-$K$ invariant initial data. For initial data $u_{0}$ compactly supported or in a weighted $L^{1}(G/K)$ space with a weight depending on $p\in [1, \infty ]$, we introduce a mass function $M_{p}(u_{0})(\cdot )$, and prove that if $h_{t}$ is the heat kernel on $G/K$, then $$ \begin{align*} &amp;\|h_t\|_p^{-1}\,\|u_0\ast h_t \, - \,M_p(u_0)(\cdot)\,h_t\|_p \rightarrow 0 \quad \textrm{as} \quad t\rightarrow \infty.\end{align*} $$ Interestingly, the $L^{p}$ heat concentration leads to completely different expressions of the mass function for $1\leq p &amp;lt;2$ and $2\leq p\leq \infty $. If we further assume that the initial data are bi-$K$-invariant, then our mass function boils down to the constant $\int _{G/K}u_{0}$ in the case $p=1$, and more generally to $\mathcal{H}{u_{0}}(i\rho (2/p-1))$ if $1\leq p&amp;lt;2$, and to $\mathcal{H}{u_{0}}(0)$ if $2\leq p \leq \infty $. Thus, we improve upon results by Vázquez, Anker et al., and Naik et al., clarifying the nature of the problem.</jats:p>}},
  author       = {{Papageorgiou, Effie}},
  issn         = {{1073-7928}},
  journal      = {{International Mathematics Research Notices}},
  number       = {{7}},
  publisher    = {{Oxford University Press (OUP)}},
  title        = {{{<i>L</i>
          p Asymptotics for the Heat Equation on Symmetric Spaces for Non-symmetric Solutions}}},
  doi          = {{10.1093/imrn/rnaf074}},
  volume       = {{2025}},
  year         = {{2025}},
}

@article{63503,
  author       = {{Bruno, Tommaso and Papageorgiou, Effie}},
  issn         = {{0021-7670}},
  journal      = {{Journal d'Analyse Mathématique}},
  number       = {{2}},
  pages        = {{733--767}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Pointwise convergence to initial data for some evolution equations on symmetric spaces}}},
  doi          = {{10.1007/s11854-025-0403-2}},
  volume       = {{157}},
  year         = {{2025}},
}