TY - CONF A1 - Burkert, Andreas T1 - Grundlagen Spannungsrisskorrosion N2 - Der Vortrag stellt die Grundlagen und Schädigungsmechanismen der Spannungsrisskorrosion an metallenen Werkstoffen vor. Aus dem Zusammenspiel von mechanischer Beanspruchung, dem Korrosionsmedium und den Eigenschaften des Werkstoffs können sich Bedingungen ergeben, welche den Eintritt von SpRK begünstigen können. Speziell wird auf auf die chloridinduzierte Spannungsrisskorrosion und die wasserstoffinduzierte SpRK näher eingegangen. Abschließend werden einige normative Prüfmöglichkeiten vorgestellt. T2 - Korrsosionsschutz in der maritimen Technik CY - Hamburg, Germany DA - 28.01.2026 KW - Spannstahl KW - Spannungsrisskorrosion KW - Nichtrostender Stahl KW - Korrosion PY - 2026 AN - OPUS4-65425 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Rurack, Knut T1 - Functional polymeric coatings for sensory applications N2 - The growing demand for the detection of relevant chemical compounds as close as possible to their point of origin—whether in industrial processes, for (civilian or military) security, or for environmental monitoring—has increased the importance of functional polymers with molecular recognition capabilities. These materials must meet practical requirements arising from very different real-world scenarios in which simple, robust, and field-deployable approaches are needed and in which bioanalytical binders often suffer significant performance losses. Polymer recognition matrices therefore serve as an essential complement to established laboratory-based analytical technologies. The realization of rapid and reliable onsite detection places specific demands on material design: polymeric recognition layers must be produced with minimal thickness, integrated onto suitable carrier media, and designed for both selectivity and operational robustness. This presentation will introduce our work on molecularly imprinted polymers (MIPs) that have been specifically developed for the detection of relevant contaminants such as pesticides and perfluorinated compounds. Beyond these target analytes, the presentation will show how such polymer layers can support robust, sustainable diagnostic concepts, and it will outline generalizable design principles that enable their extension to a broad spectrum of analytical challenges. T2 - Institutskolloquium des Instituts für Chemie, Humboldt Universität zu Berlin CY - Berlin, Germany DA - 28.01.2026 KW - Functional organic materials KW - Responsive polymers KW - Sensing KW - Molecularly imprinted polymers PY - 2026 AN - OPUS4-65435 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hertwig, Andreas T1 - How can ellipsometry help us to understand ultrashort pulse laser material processing? N2 - Laser processing of materials is a key technology in many fields of modern production. Still, more work is needed to understand the mechanisms behind laser material interaction. Recently, ellipsometry has become a valuable tool for investigating materials pre and post laser irradiation. Imaging ellipsometry and time-resolved methods boost this work and open up the path to a much better understanding of light interaction with solid state surfaces. We use spectroscopic single-spot and imaging ellipsometry to investigate treated and untreated surfaces. The goal is to determine changes in the material dielectric function, as well as geometric changes in surface layers (oxidation, modification, ablation, blistering). A good knowledge of bulk dielectric functions is often needed to model processes caused by laser irradiation. Imaging ellipsometry can play an important role in the post-analysis of laser treated sites on surfaces if combined with other methods such as IR-spectroscopy, SEM, topometric methods, Raman-spectroscopy, and XPS. In this work, we present the results of several studies to investigate laser-treated materials by means of ellipsometry. We cover the following topics: • Ablation of amorphous carbon layers, role of intra-layer interference effects on the result • Amorphisation behaviour of c-Si, depending on the crystal orientation, • Understanding the role of bulk and surface properties on ablation behaviour of classical and multicomponent high-entropy metals, T2 - 13th Workshop on Spectroscopic Ellipsometry CY - Genova, Italy DA - 09.02.2026 KW - Ellipsometry KW - Laser Ablation KW - Femtosecond Technology KW - Surface and Thin Layer Technology KW - Laser Surface processing PY - 2026 AN - OPUS4-65521 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Erning, Johann Wilhelm T1 - Werkstoffe im Kontakt mit Trinkwasser: Von den UBA-Bewertungsgrundlagen nach Europa N2 - Die Grundlagen der hygienischen Bewertung von Werkstoffen im Kontakt mit Trinkwasser werden erläutert. Die regulatorischen Hintergründe und die Überführung der Regeln in den europäischen rahmen werden diskutiert und an Beispielen erläutert T2 - Abschlusskonferenz ZEP-Fittings CY - Lüdenscheid, Germany DA - 05.02.2026 KW - Korrosion KW - Trinkwasserhygiene KW - Europa KW - Werkstoffe PY - 2026 AN - OPUS4-65536 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Ebell, Gino T1 - Neue Erkenntnisse zur Initiierung von Wasserstoffinduzierter Spannungsrisskorrosion an Brückenbauwerken und N2 - Spannstahlbrücken die in der Vergangenheit mir vergüteten Spannstählen errichtet worden sind können unter ungünstigen Gegebenheiten bei deren Erstellung signifikante Probleme hinsichtlich der Tragfähigkeit bekommen. Im Speziellen kann die wasserstoffinduzierte Spannungsrisskorrosion hier bei der Errichtung der Brückenbauwerke Anrisse an den Spanndrähten erzeugt haben die Jahre später zum Versagen der Brücke führen können. Die Präsentation im Speziellen behandelt den Teileinsturz der Carolabrücke in Dresden. T2 - LS Brandenburg Workshop CY - Online meeting DA - 20.02.2026 KW - Korrosion KW - Spannungsrisskorrosion KW - Spannstahl KW - Wasserstoff PY - 2026 AN - OPUS4-65552 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schröder, Nina T1 - Herausforderungen und Potenziale moderner Hochleistungs-Lichtbogenprozesse für effiziente Reparaturmaßnahmen an Altstahlkonstruktionen N2 - Stahltragwerke, die im späten 19. und frühen 20. Jahrhundert errichtet wurden, stellen noch heute einen wesentlichen Bestandteil der technischen Infrastruktur dar. Ein erheblicher Anteil der Brücken- und Ingenieurbauwerke befindet sich seit mehr als 80 oder sogar 100 Jahren in Betrieb und ist kontinuierlich steigenden Verkehrsaufkommen, Achslasten sowie dynamischen Einwirkungen ausgesetzt. Vor dem Hintergrund dieser zunehmenden Beanspruchungen sind beanspruchungsgerechte und konstruktiv angemessene Instandsetzungsstrategien unerlässlich, um die langfristige strukturelle Integrität sicherzustellen und zugleich den vorhandenen Baubestand nachhaltig zu erhalten. Da historische Stahlkonstruktionen überwiegend für genietete oder geschraubte Verbindungen ausgelegt wurden, stellt die nachträgliche Umsetzung geschweißter Reparatur- oder Verstärkungsmaßnahmen eine besondere Herausforderung dar. Neben den spezifischen werkstofflichen Eigenschaften alter Flussstähle sind insbesondere schweißbedingte Eigenspannungen sowie mikrostrukturelle Veränderungen zu berücksichtigen, da diese die Tragfähigkeit und das Gesamttragverhalten maßgeblich beeinflussen können. Infolgedessen müssen Instandsetzungskonzepte nicht nur die geometrische Wiederherstellung gewährleisten, sondern zugleich an den tatsächlichen Spannungszustand und die betrieblichen Beanspruchungen des Tragwerks angepasst werden. Vor diesem Hintergrund untersucht die vorliegende Arbeit MAG-Schweißversuche an Mischverbindungen zwischen historischem und modernem Baustahl. Der Nahtöffnungswinkel wurde systematisch zwischen 50° und 30° variiert, um den Einfluss der Fugengeometrie auf das Schweißgutvolumen, die Wärmeeinbringung sowie den resultierenden Eigenspannungszustand zu analysieren. Darüber hinaus kamen innovative Hochleistungs-Lichtbogenprozesse, wie beispielsweise ein modifizierter Sprühlichtbogen, zum Einsatz, um eine kontrollierte und reduzierte Wärmeeinbringung zu ermöglichen. Ziel ist es, schweißbedingte Eigenspannungen durch eine Optimierung von Prozessführung und Fugengestaltung zu minimieren und damit eine technisch fundierte sowie beanspruchungsgerechte Instandsetzungsstrategie für bestehende historische Stahltragwerke mit langfristiger Gebrauchstauglichkeit bereitzustellen. T2 - Forschungsseminar an der OvGU Magdeburg CY - Magdeburg, Germany DA - 18.02.2026 KW - Flussstahl KW - Reparaturmaßnahmen KW - Schweißeignung KW - Modifizierter Sprühlichtbogen KW - Eigenspannungen PY - 2026 AN - OPUS4-65577 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Huber, Norbert T1 - Machine learning in materials science and engineering – best practice, perspectives and pitfalls N2 - Machine learning (ML) is increasingly utilized to support the data driven analysis of relationships in multidimensional parameter spaces, ideally as an entry point for a more general phenomenological or physics-based model development. Applications include both forward and inverse problems as well as forward problems, for example parameter identification or modeling of structure-property relationships. The talk will give an overview over a variety of solutions that benefit from the capability of artificial neural networks to approximate and interpolate complex relationships that are represented by a set of sparse data. The reason behind is that numerical simulations as well as experiments do often not allow to generate enough data such that the data set is not sufficient for a deep-learning approach in connection with the complexity of the problem at hand. After a short introduction to artificial neural networks along with recommendations for data generation and feature engineering, the talk will cover a range of examples from nanoindentation and material parameter identification, the improvement of characterization techniques by ML correction methods towards recent problems in the prediction of structure-property relationships for materials with complex microstructure. All these examples have in common that a successful ML model typically requires a comprehensive understanding of existing knowledge, expertise in translating this knowledge into meaningful input features, a compact ML architecture, and robust validation of the trained model. The talk will conclude with the example of nanoporous metals that demonstrates the importance of high-quality and bias-free data for the applicability and trustworthiness of the trained model, also emphasizing the need for a culture of open data, specifically towards curated data sets for training and validation of ML models. T2 - WW-Colloquium Department of Materials Science and Engineering CY - Nuremberg, Germany DA - 13.01.2026 KW - Machine learning KW - Nanoindentation KW - Material testing KW - Nanoporous metals PY - 2026 AN - OPUS4-65358 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Ruehle, Bastian T1 - MINERVA-OS: The Orchestrator of our SDL for Nano and Advanced Materials Synthesis N2 - We present our SDL "Minerva" and its' Orchestrator "Minerva-OS". We discuss the general architecture of the orchestrator, the problems our orchestration solution solves, associated objectives, and success criteria. We demonstrate how a user would interact with it and give examples of what it has already been used for. We also provide some explanation of the available and planned features, and how workflows/experiments are represented. Lastly, we discuss key technical challenges we faced during development. T2 - Orchestration Alignment Virtual Workshop CY - Online meeting DA - 20.01.2026 KW - Self Driving Labs KW - Materials Acceleration Platforms KW - Workflows KW - Orchestration PY - 2026 AN - OPUS4-65422 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Zaki, Mohammad T1 - Nano-And Advanced Materials Synthesis In A Self-Driving Lab (SDL) N2 - Nano- and advanced materials are recognized as key enabling technologies of the 21st century, offering exceptional potential to drive innovation and tackle pressing challenges in materials science. To fully realize this potential, it is essential to develop and improve tools that accelerate their design, development, and optimization. Recognizing this pressing need, we present a Self-Driving Lab (SDL) that integrates robotics for batched autonomous synthesis – from molecular precursors to fully purified nanomaterials, with automated characterization and data analysis, for a complete and reliable nanomaterial synthesis workflow. By fully automating these three process steps for seven different materials from five representative, completely different classes of nano- and advanced materials (metal, metal oxide, silica, metal organic framework, and core–shell particles) that follow different reaction mechanisms, we demonstrate the great versatility and flexibility of the platform. The system also exhibits modularity, impressive adaptability in terms of reactions scales and incorporates in-line characterization measurement of hydrodynamic diameter, zeta potential, and optical properties (absorbance, fluorescence) of the nanomaterials, along with automating data analysis of at-line or off-line characterization techniques such as electron microscopy image analyses. Automated characterization and data analysis is complemented by a machine learning–driven feedback loop employing active learning algorithms (e.g., Bayesian optimization, artificial neural networks, and downhill simplex methods) to iteratively suggest new experimental parameters toward desired material properties. Therefore, the excellent reproducibility for material syntheses when run on the SDL platform multiple times, the material agnostic behavior, the adaptability, and modularity, underscore the SDL’s reliability and potential as a transformative tool for advancing the development and applications of nano- and advanced materials, offering solutions for a sustainable future. T2 - Gordon Research Seminar and Conference, Multifunctional Materials and Structures-conference CY - Ventura, CA, USA DA - 24.01.2026 KW - Self-Driving Laboratories KW - Materials Acceleration Platforms KW - Nanomaterials PY - 2026 AN - OPUS4-65597 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Eddah, Mustapha T1 - Multi-Energy High Dynamic Range (HDR) Synchrotron X-ray Computed Tomography applied to LTCC samples N2 - Synchrotron X-ray computed tomography (SXCT) is regularly used in materials science to correlate structural properties with macroscopic properties and to optimize manufacturing processes. The X-ray beam energy must be adapted to the sample properties, such as size and density. If both strongly and weakly absorbing materials are present, the contrast to the weakly absorbing materials is lost, resulting in image artifacts and a poor signal-to-noise ratio (SNR). One example is a low-temperature co-fired ceramics (LTCC), in which metal connections are embedded in a ceramic matrix and form 3-dimensional conducting structures. This article describes a method of combining SXCT scans acquired at different beam energies, significantly reducing metal artifacts, and improving image quality. We show how to solve the difficult task of merging the scans at low and high beam energy. Our proposed merging approach achieves up to 35% improvement in SNR within ceramic regions adjacent to metallic conductors. In this way, previously inaccessible regions within the ceramic structure close to the metallic conductors are made accessible. T2 - iCT 2026 CY - Linz, Austria DA - 10.02.2026 KW - Synchrotron x-ray CT KW - Multi-energy CT KW - Low-Temperature cofired ceramics PY - 2026 AN - OPUS4-65586 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -