TY - JOUR A1 - Nicolai, Marcel A1 - Bulling, Jannis A1 - Narayanan, M.M. A1 - Zeipert, Henning A1 - Prager, Jens A1 - Henning, Bernd T1 - Dynamic interface behavior in coupled plates: Investigating Lamb wave mode repulsion with a spring-based model N2 - This study investigates the phenomenon of mode repulsion in Lamb waves propagating through two coupled plates with an elastic interface. Using a spring-based coupling model and the Scaled Boundary Finite Element Method, the dispersion curves of the coupled system are analyzed under various interface conditions—weak coupling, sliding boundary, and perfect coupling. This research highlights how the mechanical stiffness of the interface influences the separation of modes and the emergence of repulsion regions. A novel focus on interface displacements reveals a unique dynamic behavior within the repulsion regions, driven by in-phase and out-of-phase oscillations of the coupled plates. The findings provide a physically grounded explanation of mode repulsion, linking it to the strain patterns in the interface. This insight lays the theoretical groundwork for future applications in material characterization and non-destructive evaluation, enabling more precise selection of Lamb wave modes for scientific and industrial purposes. KW - Lamb waves KW - Mode repulsion KW - Coupled plates KW - Elastic interface KW - Dispersion curves PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-642245 DO - https://doi.org/10.1016/j.ultras.2025.107799 SN - 0041-624X VL - 158 SP - 1 EP - 9 PB - Elsevier BV AN - OPUS4-64224 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - INPR A1 - Corrao, Elena A1 - Gouasmi, Meriem A1 - Sordello, Fabrizio A1 - Hodoroaba, Vasile-Dan A1 - Radnik, Joerg A1 - Maurino, Valter A1 - Pellegrino, Francesco T1 - Tailoring TiO2 Morphology and Surface Chemistry for Optimized Photocatalytic Activity in rGO Hybrids N2 - TiO2–reduced graphene oxide (rGO) hybrids were investigated in this study to elucidate how TiO2 morphology and surface chemistry govern charge-transfer pathways and, ultimately, reaction selectivity. Three anatase TiO2 nanostructures were compared: bipyramids predominantly exposing {101} facets (bipy) and two nanosheet-like samples enriched in {001} facets, either fluorinated (n-sh) or thermally defluorinated and {101}-enriched (n-sh_873K). A constant rGO loading (2 wt.%) was introduced via in situ hydrazine reduction of graphene oxide in the presence of TiO2. Photocatalytic activity was evaluated under Xe-lamp irradiation in two model reactions probing oxidative and reductive pathways: phenol degradation and H2 evolution using formic acid as a scavenger. rGO systematically enhanced phenol degradation for all morphologies, with bipy+rGO showing the highest activity. In contrast, H2 evolution was consistently suppressed upon rGO incorporation across all TiO2 samples, although the bipyramidal morphology remained the most active within each series. These results highlight that facet exposure and surface functionalization dictate the beneficial or detrimental role of rGO depending on the targeted photocatalytic pathway. KW - Photocatalytic activity KW - Reduced graphene oxide KW - TiO2 KW - Surface chemistry KW - 2D materials PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-653476 DO - https://doi.org/10.26434/chemrxiv-2026-65917 SP - 1 EP - 12 PB - American Chemical Society (ACS) AN - OPUS4-65347 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pomorska Gawel, A. A1 - Dąbkowska, M. A1 - Kosior, D. A1 - Batys, P. A1 - Szatanik, A. A1 - Witt, Julia A1 - Özcan Sandikcioglu, Özlem A1 - Michna, A. T1 - Multiscale insights into fibroblast growth factor 23 adsorption on polyelectrolyte layers: From molecular properties to biointerfaces N2 - Fibroblast growth factor 23 (FGF23) is a clinically significant protein hormone regulating phosphate and vitamin D metabolism, with elevated levels linked to chronic kidney disease, cardiovascular disorders, and impaired bone homeostasis. Despite its relevance as both a biomarker and a therapeutic target, its interactions with functional biomaterials remain poorly understood. In this work, we investigate the FGF23 adsorption on polyelectrolyte layers using a combination of theoretical modeling and experimental methods. Theoretical calculations provided insights into the protein's charge distribution and diffusion properties, while experimental measurements quantified its hydrodynamic diameter, electrophoretic mobility, and electrokinetic charge over a broad range of pH values. Microscale thermophoresis revealed quantitative binding affinities of FGF23 to hyaluronic acid, chitosan, and poly(diallyldimethylammonium chloride). Adsorption studies on mica, silica, and polyelectrolyte mono- and bilayers showed that FGF23 binds to both negatively and positively charged substrates, with binding affinities following: hyaluronic acid < poly(diallyldimethylammonium chloride) < chitosan. Desorption occurred more readily from negatively charged surfaces (mica, silica and hyaluronic acid), indicating weaker interactions compared to positively charged layers. These results reveal fundamental aspects of protein –polyelectrolyte interactions and highlight the reversible binding capacity of FGF23 to negatively charged surfaces. Such adsorption behavior provides a physicochemical framework for considering FGF23-polyelectrolyte systems in the design of therapeutic carriers and bioactive materials. However, any direct relevance to wound healing, chronic kidney disease, or cardiovascular disorders remains prospective and requires dedicated biological validation. KW - Molecular dynamics KW - Streaming potential measurements KW - Adsorption KW - Stability KW - Binding affinity PY - 2026 DO - https://doi.org/10.1016/j.ijbiomac.2026.150221 SN - 0141-8130 VL - 341 IS - Part 1 SP - 1 EP - 14 PB - Elsevier B.V. AN - OPUS4-65415 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Fischer, Tim A1 - Huber, Norbert T1 - Microstructure and orientation effects on microcompression-induced plasticity in nanoporous gold N2 - Understanding the plastic deformation of nanoporous metals requires a detailed examination of their small-scale microstructural features. In this work, we present a computational study of micropillar compression in single crystal nanoporous gold (NPG) using crystal plasticity. This approach enables a systematic investigation of three key microstructural effects, including ligament size (50 ≤ 𝑙 ≤ 400 nm), solid fraction (0.2 ≤ 𝜑 ≤ 0.3), and initial crystal orientation ([001] and [111] ̄ ), on the plastic response far beyond yielding. After validation against experimental data, the study reveals that, in line with the ’smaller is stronger’ trend, besides the yield strength, the strain hardening rate also increases as ligament size decreases. Moreover, the strain hardening rate follows a power-law scaling with solid fraction, similar to the yield strength. The analysis of two distinct crystal orientations presents findings contrasting with previous assumptions. While the yielding onset remains orientation-independent, as expected, an increase in the strain hardening rate emerges for the harder [11-1] orientation with continued compression. An effect that becomes more pronounced with increasing solid fraction and decreasing ligament size. Under these conditions, harder orientations also amplify local stress heterogeneity. Notably, the stress distribution in NPG is nearly twice as wide as that observed in the single crystal bulk material (𝜑 = 1.0). Compared to the crystal plasticity approach, traditional isotropic plasticity predicts more uniform local stress fields. KW - Nanoporous gold KW - Microcompression KW - Plasticity KW - Size effect KW - Micromechanics PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-650137 DO - https://doi.org/10.1016/j.actamat.2025.121798 SN - 1359-6454 VL - 304 SP - 1 EP - 13 PB - Elsevier Inc. AN - OPUS4-65013 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Rodriguez, Santiago A1 - Kumanski, Sylvain A1 - Ayed, Zeineb A1 - Fournet, Aurélie A1 - Bouanchaud, Charlène A1 - Sagar, Amin A1 - Allemand, Frédéric A1 - Baulin, Vladimir A. A1 - Resch‐Genger, Ute A1 - Cortés, Juan A1 - Sibille, Nathalie A1 - Chirot, Fabien A1 - Wegner, Karl David A1 - Antoine, Rodolphe A1 - Le Guével, Xavier A1 - Bernadó, Pau T1 - Programming the Optoelectronic Properties of Atomically Precise Gold Nanoclusters Using the Conformational Landscape of Intrinsically Disordered Proteins N2 - The rational design of hybrid nanomaterials with precisely controlled properties remains a central challenge in materials science. While atomically precise gold nanoclusters (Au‐NCs) offer molecule‐like control over a metallic core, tuning their optoelectronic behavior via surface engineering is often empirically driven. Here, we establish a design principle by demonstrating that the conformational landscape of intrinsically disordered proteins (IDP) can be used as a programmable scaffold to rationally modulate the photophysical properties of a covalently bound Au‐NC. We synthesized a series of bioconjugates between Au 25 nanoclusters and bioengineered IDPs containing a variable number of cysteine anchoring points. A combination of mass spectrometry, small‐angle X‐ray scattering, and modeling on the conjugates indicates that increasing the number of covalent anchors systematically restricts the conformational ensemble, inducing a progressively more compact protein shell around nanoclusters. This structural rigidification at the interface directly translates into a 15‐fold enhancement of the Au‐NC near‐infrared photoluminescence and a six‐fold increase in its average lifetime. Our findings demonstrate that the conformational plasticity of IDPs and the capacity to engineer them can be harnessed as a molecular tuning knob, moving to a new regime of programmable soft‐matter control over the properties of quantum‐confined nanomaterials for tailored biotechnological applications. KW - Fluorescence KW - Custer KW - Nano KW - Advanced material KW - Characterization KW - Fluorescence quantum yield KW - Integrating sphere spectroscopy KW - Thiol ligands KW - Gold KW - Surface chemistry KW - SWIR KW - Mass spectrometry KW - Protein PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655086 DO - https://doi.org/10.1002/chem.202502991 SN - 0947-6539 SP - 1 EP - 9 PB - Wiley VHC-Verlag AN - OPUS4-65508 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Rastgou, Masoud A1 - Hülagü, Deniz A1 - Danilenko, Aleksandr A1 - Manoocheri, Farshid A1 - Hertwig, Andreas A1 - Ikonen, Erkki T1 - Comparison of thin-film thickness measurements using ellipsometry and reflectometry with uniform samples N2 - This study evaluates spectroscopic ellipsometry and reflectometry using high-quality SiO2 and Al2O3 thin-films on Si substrates, thereby facilitating a detailed assessment of consistency of measurement results and uncertainty analyses. The results with detailed uncertainty budgets indicate good agreement between the two methods across a broad layer thickness range from 10 nm to 2000 nm, with deviations remaining well within the measurement uncertainties. Ellipsometry results have lower uncertainty than reflectometry results especially with the thinner layers, whereas reflectometry uncertainties are lower with the thickest layers studied. This work underscores the importance of rigorous thickness characterization and reliable uncertainty evaluation as critical factors in advancing both modeling and measurement practices in thin-film metrology. KW - Ellipsometry KW - Reflectometry KW - Thin Film Metrology KW - Measurement Accuracy PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655209 DO - https://doi.org/10.1088/1681-7575/ae3964 SN - 0026-1394 VL - 63 IS - 1 SP - 1 EP - 14 PB - IOP Publishing CY - Bristol, UK AN - OPUS4-65520 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - George, Janine T1 - Robust Data Generation, Heuristics and Machine Learning for Materials Design N2 - My talk covered, among other things, robust data generation for machine learning. It showed how heuristics can be used within machine learning models and how they might also be extracted from machine learning models. Beyond this, I showed an automated pipeline for training machine learning potentials. T2 - Workshop on AI in Sustainable Materials Science CY - Düsseldorf, Germany DA - 27.01.2026 KW - Automation KW - Digitalisation KW - Materials Design KW - Thermal Conductivity KW - Chemical bonding KW - Materials Acceleration Platforms PY - 2026 AN - OPUS4-65427 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - George, Janine T1 - Robust Data Generation, Heuristics and Machine Learning for Materials Design N2 - My talk covered, among other things, robust data generation for machine learning. It showed how heuristics can be used within machine learning models and how they might also be extracted from machine learning models. Beyond this, I showed an automated pipeline for training machine learning potentials. T2 - Seminar Gruppe Stephan Roche CY - Barcelona, Spain DA - 22.01.2026 KW - Automation KW - Machine Learning KW - Materials Acceleration Platforms KW - Thermal Conductivity KW - Phonons KW - Bonding Analysis PY - 2026 AN - OPUS4-65428 LA - eng 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 - Radnik, Jörg T1 - The role of Critical Raw Materials in Advanced Materials for the Energy Transition N2 - Based on the UBA report “Advanced materials for energy transition” by Xenia Knigge and Jörg Radnik the role of critical raw materials is discussed. Critical raw materials are needed in main fields of the energy transition, like photovoltaic, fuel cells, wind energy, and batteries. For the optimisation of the use of these materials different scenarios are discussed like (i) decreasing the needed amount of raw materials, (ii) searching for alternatives, (iii) using technologies which do not require critical raw materials, (iv) increasing the recycling rates, and (v) expanding the raw material sources. T2 - IRISS policy dialogue CY - Online meeting DA - 12.01.2026 KW - Solar Cells KW - Fuel cells KW - Batteries KW - Multi-use materials PY - 2026 AN - OPUS4-65451 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Rahner, E. A1 - Thiele, T. A1 - Voss, Heike A1 - Müller, F.A. A1 - Bonse, Jörn A1 - Gräf, S. T1 - Objective, high-throughput regularity quantification of laser-induced periodic surface structures (LIPSS) N2 - The growing demand for precise surface functionalization through laser-generated periodic surface structures highlights the necessity for efficient, reproducible, and objective evaluation methods to evaluate their structural regularity. We introduce ReguΛarity (v.1.2.7), a freely available, Python-based software with a graphical user interface for the automated, quantitative assessment of the regularity of laser-induced periodic surfaces structures (LIPSS), obtained from optical microscopy, SEM, or AFM. The software integrates image segmentation, one- and two-dimensional Fourier analyses, and gradient-based orientation determination to facilitate a comprehensive regularity analysis of grating-like (quasi-)periodic surface patterns with spatial periods Λ. This is achieved through the proposed regularity tuple R, composed of five key parameters: the normalized spread of the spatial period RΛ,2D (from 2D-FT), the normalized variation of the most frequent spatial period RΛ (from 1D-FT), the Gini coefficient G, the Dispersion of the LIPSS Orientation Angle δθ (DLOA), and the mean phase deviation . To demonstrate its applicability, we compare ideal sinusoidal patterns with SEM images obtained from LIPSS on stainless steel (AISI 316L) and aluminum alloy (AlMg5) surfaces, confirming the software’s ability to objectively distinguish between varying levels of structural regularity. ReguΛarity facilitates high-throughput analysis and data-driven process optimization in surface engineering and laser materials processing. KW - Laser-induced periodic surface structures (LIPSS) KW - Image processing KW - Regularity quantification KW - Fourier analysis KW - Structural homogeneity PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-654070 DO - https://doi.org/10.1016/j.apsusc.2026.165919 SN - 0169-4332 VL - 726 SP - 1 EP - 12 PB - Elsevier B.V. AN - OPUS4-65407 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Schusterbauer, Robert A1 - Mrkwitschka, Paul A1 - Sahre, Mario A1 - Corrao, Elena A1 - Zurutuza, Amaia A1 - Doolin, Alexander A1 - Pellegrino, Francesco A1 - Radnik, Jörg A1 - Donskyi, Ievgen S. A1 - Hodoroaba, Vasile-Dan T1 - Correlative Chemical Imaging to Reveal the Nature of Different Commercial Graphene Materials N2 - Proper physicochemical characterization of advanced materials and complex industrial composites remains a significant challenge, particularly for nanomaterials, whose nanoscale dimensions and mostly complex chemistry challenge the analysis. In this work, we employed a correlative analytical approach that integrates atomic force microscopy (AFM), scanning electron microscopy (SEM) coupled with energy‐dispersive X‐ray spectroscopy (EDS), time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS), Auger electron spectroscopy (AES), and Raman spectroscopy. This combination enables detailed chemical and structural characterization with sub‐micrometer spatial resolution. Three commercial graphene‐based materials of varying complexity were selected and investigated to test the analytical performance of this approach. Furthermore, one of the commercial graphene oxide samples was chemically functionalized via amination and fluorination. This allowed us to assess how surface modifications influence both the material properties and the limits of the applied analytical techniques. KW - Analytical methods KW - Commercial products KW - Correlative analysis KW - Graphene KW - Surface imaging PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-654765 DO - https://doi.org/10.1002/smtd.202502344 SN - 2366-9608 SP - 1 EP - 10 PB - Wiley VHC-Verlag AN - OPUS4-65476 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Shovo, Redoy Gazi A1 - Thünemann, Andreas A1 - Katcharava, Zviadi A1 - Marinvo, Anja A1 - Hoppe, Richard A1 - Woltersdorf, Georg A1 - Du, Mengxue A1 - Androsch, Rene A1 - de Souza e Silva, Juliana Martins A1 - Busse, Karste A1 - Binder, Wolfgang H. T1 - Generating Tagged Micro- and Nanoparticles of Poly(ethylene furanoate) and Poly(ethylene terephthalate) as Reference Materials N2 - Detecting nanoplastic particles in environmental samples and biological tissues remains a significant challenge, especially in view of newly emerging polymers, not yet commercially exploited. Fluorescent labeling provides a tagging strategy to overcome this limitation by reducing the detection limit of individual particles, especially for small-sized particles. We present a method for producing labeled nanoparticles (NP/MP) of poly(ethylene terephthalate) (PET) and poly(ethylene furanoate) (PEF), tagged with Alexa Fluor 633 or Alexa Fluor 647. Our preparations used mechanical grinding or solvent-based approaches (confined impinging jet mixing, ((CIJ, precipitation), generating particles with hydrodynamic diameters of 200–700 nm, displaying long-term stability in water of up to 57 days. Stable suspensions with concentrations of the particles ranging from 10 µg/mL (surfactant-free, by solvent mixing) to 5.88 mg/mL (precipitation, containing surfactant) were generated with zeta-potentials from −5 to −50 mV. Characterization of the nanoparticles by SEC, DSC, and XRD showed no significant changes in molecular weight, thermal behavior, or crystallinity via the solvent-based methods, compared to the pristine polymer, highlighting their suitability for producing standardized nanoparticle dispersions. Fluorescence spectroscopy of the Alexa-dye-labeled particles confirmed the successful incorporation of the Alexa dyes, so improving monitoring of their biological profiles of the PEF-MP/NPs. s-SNOM (near field imaging) could identify individual PEF-particles sized ∼200 nm by direct imaging. KW - Reference Materials KW - Nanoplastics KW - Microplastics KW - Polymer KW - Fluorescence PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655531 DO - https://doi.org/10.1002/marc.202500839 SN - 1521-3927 VL - 47 IS - 4 SP - 1 EP - 11 PB - Wiley VHC-Verlag CY - Weinheim AN - OPUS4-65553 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Schwibbert, Karin A1 - de Eulate Pérez, Elisa García A1 - Wen, Keqing A1 - Voss, Heike A1 - Thiele, Dorothea A1 - Richter, Anja M. A1 - Bonse, Jörn T1 - Escherichia coli repellence via laser-induced periodic surface structures (LIPSS) on titanium: Critical role of biofilm-associated gene expression N2 - The inconsistency in the observed bacteria-repellent effects of laser-induced surface textures remains a subject of scientific debates. With E. coli TG1 as test strain, we performed biofilm formation assays on ultrashort pulse laser textured titanium. Samples covered with low spatial frequency LIPSS (LSFL) of periods around 750 nm or with high spatial frequency LIPSS (HSFL) featuring smaller periods around 100 nm were processed on polished samples. While LSFL significantly reduce the number of adhering bacteria compared to the polished reference, HSFL do not. Simultaneously, we concentrate our study on bacterial strategies employed for biofilm formation, that is the transcription of the biofilm-associated genes csgB, involved in primary adhesion to a surface, and wza, participating in biofilm maturation. Promoter regions of these genes were cloned into a promotor probe plasmid with the green fluorescent protein GFP+ as reporter and transferred into the test strain. As indicated by the fluorescence intensity of the reporter protein, among the bacteria colonizing LSFL-covered areas, a markedly higher proportion of cells transcribing csgB or wza were detected, compared to the bacterial populations colonizing the polished or HSFL-covered areas. To our knowledge, this is the first study indicating that the antifouling effect of LSFL topographies can be counteracted when bacteria activate biofilm-associated genes. KW - Laser-induced periodic surface structures (LIPSS) KW - Titanium KW - Biofilm KW - Antifouling KW - Gene expression KW - Fluorescence microscopy PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655572 DO - https://doi.org/10.1016/j.apsusc.2026.166363 SN - 0169-4332 VL - 730 SP - 1 EP - 9 PB - Elsevier B.V. AN - OPUS4-65557 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - George, Janine T1 - Robust Data Generation, Heuristics and Machine Learning for Materials Design N2 - This talk first introduces students to the Materials Acceleration Platforms and Advanced Materials Characterization at BAM. Then, it motivates high-throuhgput screening for materials discovery and advanced materials simulations based on these core topics. Then four different research studies are presentend: evaluation of generative models, synthesizability prediction via PU learning, acceleration of materials property predictions with bonding analysis and advanced materials simulations supported by automatically trained machine learning potentials. T2 - Guest Lecture in MSE 403/1003, a Seminar in the Curriculum of the University of Toronto CY - Online meeting DA - 13.02.2026 KW - Automation KW - Materials Acceleration Platforms KW - Machine Learning KW - Workflows KW - Phonons KW - Bonding Analysis KW - Thermal Conductivity PY - 2026 AN - OPUS4-65514 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 - Resch-Genger, Ute T1 - How to get it right with photoluminescence measurements in the UV/VIS/NIR N2 - Optical measurements of transparent solutions of organic dyes and semiconductor quantum dots and scattering materials such as luminescent nanocomposites and microparticles and phosphors dispersed in liquid and solid matrices play an important role in energy conversion, solid-state lighting, medical diagnostics, and security barcoding. A key performance parameter is the photoluminescence quantum yield QY, i.e., the number of emitted per number of absorbed photons. QY of transparent luminophore solutions can be obtained relative to a fluorescence QY standard of known QY. Such relative QY measurements require a calibrated spectrofluorometer. Here, we address typical sources of uncertainty for luminescence measurements and relative and absolute QY measurements from the instrument and material side and provide recommendations to circumvent or at least minimize them for transparent and scattering samples in the UV/vis/NIR/SWIR. T2 - Workshop "Photoluminescence Spectroscopy and its application in Materials Research" CY - Vienna, Austria DA - 19.02.2026 KW - Quality assurance KW - Reference material KW - Fluorescence KW - Dye KW - Traceability KW - Metrology KW - Calibration KW - Reference data KW - Reference product KW - Digital certificate KW - NIR KW - Instrument performance validation PY - 2026 AN - OPUS4-65575 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Eddah, Mustapha A1 - Markötter, Henning A1 - Mieller, Björn A1 - Widjaja, Martinus Putra A1 - Beckmann, Jörg A1 - Bruno, Giovanni 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. The paper further discusses methodological requirements, limitations, and potential extensions of the presented multienergy SXCT merging technique. 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 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655848 SP - 1 EP - 7 CY - e-Journal of Nondestructive Testing AN - OPUS4-65584 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Rossi, Andrea A1 - Corrao, Elena A1 - Alladio, Eugenio A1 - Drobne, Damjana A1 - Hodoroaba, Vasile-Dan A1 - Jurkschat, Kerstin A1 - Kononenko, Veno A1 - Madbouly, Loay Akmal A1 - Mrkwitschka, Paul A1 - Yasamin, Nakhli A1 - Novak, Sara A1 - Radnik, Jörg A1 - Saje, Špela A1 - Santalucia, Rosangela A1 - Sordello, Fabrizio A1 - Pellegrino, Francesco T1 - Multivariate optimization and characterization of graphene oxide via design of experiments and chemometric analysis N2 - Controlling the structure and properties of graphene oxide (GO) remains a challenge due to the poor reproducibility of conventional synthetic protocols and limited understanding of parameter-property relationships. In this study, we present an integrated analytical framework that combines Design of Experiments (DoE) with chemometric modelling to systematically assess the effects of eight synthesis variables on GO’s physicochemical and functional features. A Plackett–Burman experimental design enabled efficient screening of synthesis conditions, while comprehensive characterization (spanning UV–Vis spectroscopy, XPS, SEM–EDX, TEM–EDX, and XRD) was coupled with multivariate tools (Principal Component Analysis and Multiple Linear Regression) to identify statistically significant correlations between synthetic inputs and material responses. Notably, we demonstrate that UV–Vis spectra can serve as a robust proxy for oxidation state, offering a rapid and accessible alternative to surface-sensitive methods. The approach yields a predictive analytical toolkit for guiding GO synthesis and highlights a generalizable strategy for the rational design of flat nanomaterials. This work supports reproducible, resource-efficient material development aligned with Safe and Sustainable by Design (SSbD) principles. KW - Graphene oxide KW - 2D-materials KW - Design of Experiment KW - Synthesis KW - Chemometric analysis PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-652576 DO - https://doi.org/10.1016/j.flatc.2025.100988 SN - 2452-2627 VL - 55 SP - 1 EP - 9 PB - Elsevier B.V. AN - OPUS4-65257 LA - eng 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 -