TY - CONF A1 - Altmann, Korinna T1 - Validation of microplastics detection methods and proficiency testing: Suitable microplastic reference materials for interlaboratory comparison N2 - The talk summarizes challenges in microplastic analysis. It shows the preparation of microplastic reference materials as well as the testing on homogeneity and stability. The reference material is used in an international laboratory comparison to compare different detection methods used for microplastic analysis. The methods used were µ-IR (FTIR+LDIR) for number-based methods and TED-GC/MS and Py-GC/MS for mass-based methods. The ILC was done under the umbrella of VAMAS TWA 45. Results of the participants are presented. T2 - BAM Akademie CY - Online meeting DA - 16.05.2024 KW - Microplastics KW - Reference materials KW - ILC KW - Microplastics detection KW - TED-GC/MS KW - Polymer 3R PY - 2024 AN - OPUS4-60085 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Altmann, Korinna T1 - Mikroplastik Detektion mit Thermoanalytischen Methoden: Analytik, Referenzmaterial, Ringversuche N2 - Ich dem Vortrag geht es um die Vorstellung von thermoanalytischen Methoden für die Mikroplastik-Detektion. Verschiedene Kopplungsmöglichkeiten werden gezeigt und die Funktionsweise der TED-GC/MS wird erklärt. Im zweiten Teil werden Referenzmaterialien für die Mikroplastik-Analytik diskutiert. PET -Tabletten des PlasticTrace Projektes werden vorgestellt. Am Ende wird der VAMAS Ringversuch zur Mikroplastik-Detektion gezeigt. T2 - Plastik, Mikroplastik, Nanopartikel, PFAS und Verunreinigungen (Agilent Workshop) CY - Hamburg, Germany DA - 28.05.2024 KW - Mikroplastik KW - TED-GC/MS KW - Polymer 3R KW - Ringversuche KW - Referenzmaterial PY - 2024 AN - OPUS4-60155 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - George, Janine T1 - Openness, Curiosity and Identity N2 - I am introducing early-career researchers to my view on the academic career. I highlighted openness with regard to people. I mentioned my interest in multiple fields of the natural sciences, driving my curiosity. I additionally highlight my core belief that science is a team sport. T2 - Open Minds – Exploring Science Careers CY - Berlin, Germany DA - 05.03.2026 KW - Materials Informatics PY - 2026 AN - OPUS4-65632 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 - Machine learning (ML) offers new routes to overcome the limitations of density functional theory (DFT) for advanced materials. We present data-generation strategies and workflows for ML interatomic potentials, including large-scale quantum-chemical bonding analysis.[1,2,3] Incorporating bonding descriptors into ML models enables prediction of phononic properties and validation of correlations between bonding strength, force constants, and thermal conductivity.[3] We introduce autoplex, an automated framework for training ML potentials, supporting general-purpose and phonon-focused workflows.[4] These developments provide a basis for fine-tuning foundation models for thermal transport at reduced cost.[5] For properties such as magnetism or synthesizability, we discuss complementary approaches, comparing ab initio methods with chemical heuristics and experimental data-driven ML models.[6,7]Our work advances scalable, accurate simulations for materials discovery. T2 - DPG Dresden, Condensed Matter CY - Dresden, Germany DA - 10.03.2026 KW - Materials Design KW - Materials Acceleration Platforms KW - Advanced materials simulations KW - Automation KW - High-throughput KW - Thermal Conductivity KW - Chemical Bonding Analysis KW - Phonons KW - Amorphous Materials PY - 2026 AN - OPUS4-65648 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Altmann, Korinna T1 - Mikroplastik heute: Was haben wir in den letzten Jahren erreicht? N2 - In diesem Vortrag geht es um eine Übersicht über die Thematik der Mikroplastik, Was ist Mikroplastik, wie entsteht es und wo kommt es her. Es wird beschrieben wie eine repräsentative Probenahme erfolgen kann und wie welche Herausforderungen bei der Probenvorbereitung existieren. Die Detektion wird ausführlich beschrieben, sowohl mit Partikelanzahl als auch Masse. Im weiteren werden erste Referenzmaterialien und ihre Anwendung in internationalen Ringversuchen beschrieben. Der zweite Teil zeigt die Normungsaktivitäten im Bereich der Mikroplastik. T2 - Mitgliederversammlung der GdCh Lackchemie CY - Online Meeting DA - 20.09.2024 KW - Mikroplastik KW - TED-GC/MS KW - Polymer 3R KW - Reference material KW - ILC on detection methods PY - 2024 AN - OPUS4-61087 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Miclea, Paul-Tiberiu T1 - Membrane filter cascade for size-selective analysis of nano-and micro particles N2 - From a metrological point of view, the analysis of micro and nanoplastics MNP requires not only representative and meaningful methods for sampling, preparation, and detection, but also defined and reproducible analytical procedures for the processes and materials used. For such a validation of the detection procedures (including the determination of process and laboratory blank values), the filters and laboratory conditions used in interaction with the final MNP measurement play a central role for detection limits regarding MNP size, MNP content and statistical measurement control, in addition to the reference materials mentioned above. On the basis of available filtration materials (e.g. metal mesh, silicon, aluminum oxide, polycarbonate) and metrological boundary conditions, key aspects for metrologically sound method development must be defined. Two key categories of analysis are developed for the characterization of MNP’s: analytical methods (e.g. µ-IR spectroscopy, µRaman) and mass spectrometry (eg. Py-GC/MS or TED-GC/MS). If in the first category the shape, size, number of particles and the size distribution present in the samples can be determined. In the second category the mass of the material can be measured and the volume of plastic present in the samples can be deduced from this. Both catagories are very sensitive in terms of the volume of material that can be analyzed; vibrational methods can detect single particles but mass-based method require enough particles to reach the limit of detection. That is why in this study we propose a filtration system, which in our opinion brings the two categories much closer to each other and allows true measurements of particle number and mass of the same sample. In this way it is possible not only to estimate the volume of plastic in the sample, but also to determine with much greater precision the number of particles and the type of plastic present. Furthermore, new methods for particle detection can be added and combined with existing methods. Our proposed system can be used for a single filter, but also for the use of several filters in cascade. In this way a separation of particles by size can be achieved. T2 - 13th Annual World Congress of Nano Science & Technology 2024 CY - Osaka, Japan DA - 22.05.2024 KW - Microplastics KW - Si filters KW - Filtration KW - Polymer 3R PY - 2024 AN - OPUS4-61097 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - A place for everything: traceable science using metadata from syntheses and characterisation N2 - In our laboratory, we rely heavily on automation for synthesis and measurement. Done right, automation can deliver reliable quantities of excruciatingly detailed data, produced in a reproducible and traceable way. This data then needs sorting and organising, and a good structure of metadata is a good start to long-lasting data. This metadata collection is an essential part of our “holistic experimentation”-approach. In this approach, we try to ensure that all aspects of the experimental chain are performed to a high standard, so that experimental integrity is maintained. In other words: as a failure in one of the components of the chain can make an entire experiment worthless, we must ensure each component is done (and documented) well. In this talk, we show how we 1) synthesise well-documented sample series, 2) apply a complete end-to-end X-ray scattering characterisation methodology to those samples, and 3) can link the data from the synthesis to the structural details obtained from the scattering experiments in a visual dashboard. Furthermore, we will show examples on how data can be organised in hierarchical structures in HDF5-based datafiles, and how this helps move towards more trustworthy, traceable science. About the speaker: Brian Pauw is a full-stack X-ray scattering expert with over 15 years of experience in materials science. After earning a Ph.D. in Chemical Engineering from the Technical University of Denmark in 2009, Brian advanced scattering techniques at Japan’s National Institute for Materials Science before joining BAM (Federal Institute for Materials Research and Testing) in Germany as a permanent researcher. At BAM, Brian focuses on small-angle scattering of polymers, metals, catalysts, and more – developing precise methodologies for data collection, correction, and analysis. They also lead efforts in laboratory automation, including robotic systems for reproducible sample preparation, aiming to enhance the efficiency and reliability of experimental workflows. T2 - Helmholtz Metadata Collaboration: FAIR Friday Lecture Series CY - Online meeting DA - 09.05.2025 KW - Methodology KW - X-ray scattering KW - Traceability KW - Data provenance KW - Metadata KW - Lab automation KW - Holistic science PY - 2025 AN - OPUS4-63078 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Glimpses of the Future : Advancing X-ray Scattering in an Automated Materials Research Laboratory N2 - In our (dramatically understaffed) X-ray scattering laboratory, developing a systematic, holistic methodology1 let us provide scattering and diffraction information for more than 2100 samples for 200+ projects led by 120+ collaborators. Combined with automated data correction pipelines, and our analysis and simulation software, this led to more than 40 papers2 in the last 5 years with just over 2 full-time staff members. This year, our new, modular synthesis platform has made more than 1000 additional samples for us to analyse and catalogue. By virtue of the automation, the synthesis of these samples is automatically documented in excruciating detail, preparing them for upload and exploitation in large-scale materials databases. Having developed these proof-of-concepts, we find that materials research itself is changed dramatically by automating dull tasks in a laboratory. This talk is intended to spark ideas and invite collaborations by providing an overview of: 1) the current improvements in our wide-range X-ray scattering laboratory methodology, 2) Introduce some of our open-source analysis and simulation software, touching on scattering, diffraction and PDF, and 3) introducing our open, modular robotic platform for systematic sample preparation. Finally, the remaining bottlenecks and points of attention across all three are highlighted. T2 - Swiss Society for Crystallography (SSCr) annual meeting CY - Zurich, Switzerland DA - 08.09.2023 KW - Lab automation KW - Fourier transforms KW - X-ray scattering KW - Robotic synthesis KW - Data stewardship KW - Holistic experimental procedures KW - MOUSE KW - Metal-organic frameworks KW - High-throughput measurements PY - 2023 AN - OPUS4-58237 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hodoroaba, Vasile-Dan T1 - Correlative physic-chemical analysis of advanced materials and BAM’s green and zero-related advanced materials activities – Benefits and challenges by examples N2 - Following points are presented: - Nanomaterials BAM, as research materials & CRMs, incl pre-standardization, automated analysis & automated synthesis - 2D-materials BAM HEurope ACCORDs approach Green Deal inspired correlative imaging based characterisation for safety profiling of 2D materials - Sample preparation @BAM , inclusion to standards - Thin Films @BAM as Reference Material Candidates, i) mesoporous, ii) HEA - Substitutional,Transition Me oxides as electrocatalysts a project @BAM - Sustainable mechanochemical reaction engineering projects @BAM. T2 - VAMAS Workshop Advanced Materials Challenges and Standardization Needs for a Greener World CY - Rio de Janeiro, Brazil DA - 25.09.2024 KW - Nanomaterials KW - Advanced materials KW - 2D materials KW - Sample preparation KW - Thin films KW - Reference materials KW - Safety KW - Automation PY - 2024 AN - OPUS4-61404 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Altmann, Korinna T1 - Round Table for Expert Stakeholders​ - The Transfer of Research into Policy and Regulation N2 - This talk gives an overwiew about the material and physico chemical characterisation of materials developed for the EU founded project PlasticsFate. Particles in 1st and 2nd sample set are presented next to their characterisatin and documentation in data sheets. Some materials are prepared for reference material and used in an interlaboratory comparison. Results are briefly discussed. T2 - Stakeholder Workshop PlasticsFate CY - Bühl, Germany DA - 17.09.2024 KW - Microplastics KW - Reference materials KW - Polymer 3R KW - Interlaboratory comparison PY - 2024 AN - OPUS4-61088 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Emmerling, Franziska T1 - In situ investigations of mechanochemical processes N2 - Overview of the present BAM activities in the field of in situ analytics of mechanochemical processes. Recent results for the synthesis of metal organic frameworks and cocrystals are presented. T2 - HZB Seminar CY - Online meeting DA - 21.01.2022 KW - Mechanochemistry KW - In situ real-time monitoring PY - 2022 AN - OPUS4-54296 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Digital Everything: X-ray Scattering and Synthesis Laboratories N2 - In our (dramatically understaffed) X-ray scattering laboratory, developing a systematic, holistic methodology let us provide scattering and diffraction information for more than 2100 samples for 200+ projects led by 120+ collaborators. Combined with automated data correction pipelines, and our analysis and simulation software, this led to more than 40 papers in the last 5 years with just over 2 full-time staff members. This year, our new, modular synthesis platform has made more than 1000 additional samples for us to analyse and catalogue. By virtue of the automation, the synthesis of these samples is automatically documented in excruciating detail, preparing them for upload and exploitation in large-scale materials databases. This talk is intended to spark ideas and invite collaborations by providing an overview of: 1) the current improvements in our wide-range X-ray scattering laboratory methodology, and 2) introducing our open, modular robotic platform for systematic sample preparation. T2 - Seminar at KIT CY - Karlsruhe, Germany DA - 17.08.2023 KW - Lab automation KW - Data stewardship KW - Scattering KW - X-ray scattering KW - Automated synthesis KW - Data pipelines PY - 2023 AN - OPUS4-58234 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bonse, Jörn T1 - LIPSS for beginners N2 - This overview introduces to the phenomenon of Laser-Induced Periodic Surface Structures (LIPSS). Starting from a phenomenological introduction, the most relevant physical effects and theoretical models are discussed. Applications and future directions are outlined. T2 - Workshop “Ultrafast Structural Transformations in Condensed Matter – Bridging Theory and Experiment” CY - Wroclaw, Poland DA - 09.02.2026 KW - Laser-induced periodic surface structures (LIPSS) KW - Coherent optical scattering KW - Nanostructures KW - Matter reorganization PY - 2026 AN - OPUS4-65672 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Laboratory x-ray scattering instruments as agile test-beds towards holistic experimentation N2 - Laboratory sources offer a unique advantage compared to synchrotron sources, largely in terms of freedom of operation. This freedom from user obligations, technology and software stacks and legacy decisions make the laboratory a very flexible place to develop and explore new ideas. The unparalleled availability furthermore allows for iterative improvement of instrumentation, sample environments and measurement methodologies to maximise the quality of the data obtained. This talk will highlight the use of the laboratory as an agile test-bed and development space, by giving examples of some complete and incomplete investigations undertaken in our laboratory over the last years. Furthermore, it will introduce the concept of holistic experimentation, where the laboratory provides broad-ranging support for materials science investigations. This means that we assist in the experimental preparation, perform the measurements, correction and analysis, and follow-up with assistance in interpretation of our analyses in light of the results from other techniques applied to the investigation. T2 - Invited talk at Diamond Light Source CY - Didcot, UK DA - 22.05.2024 KW - X-ray scattering KW - Methodology development KW - Laboratory management KW - Holistic experimentation KW - Laboratory automation KW - Nanostructural analysis PY - 2024 AN - OPUS4-60582 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Glimpses of the Future : Oh my god it’s full of metadata! N2 - In this talk, the importance of metadata is underscored by real-world examples. Metadata is essential to alleviating the reproducibility crises in science. This imples that a wide range of metadata must be collected, with a heavy emphasis on the automated collection of such metadata. This must subsequently be organized in an intelligible, archival structure, when possible with units and uncertainties. Such metadata can aid in improving the usage efficiency of instrumentation, as is demonstrated on the MOUSE instrument. This metadata can now be used to connect the various aspects of the holistic experimental procedure to gain better insights on the materials structure. A second example shows the extraction and organization of such metadata from an automated materials development platform, collected during the synthesis of 1200 samples. These metadata from the synthesis can then be linked to the results from the analysis of these samples, to find direct correlations between the synthesis parameters and the final structure of the materials. T2 - Helmholtz Incubator Summer Academy - Next Level Data Science CY - Online meeting DA - 18.09.2023 KW - Metadata KW - Lab automation KW - Data provenance KW - High-throughput KW - Correlative analysis KW - MOUSE KW - X-ray scattering KW - Robotics PY - 2023 AN - OPUS4-58463 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 - Despite significant progress, computational materials design still faces major challenges—particularly when simulating advanced and chemically complex materials with the accuracy of density functional theory (DFT) or beyond.[1] To overcome these limitations, machine learning (ML) methods have gained considerable traction in recent years. We have developed robust data-generation strategies to support the creation and benchmarking of new ML models.[2] In this talk, I will highlight methods for large-scale quantum-chemical bonding analysis and workflows for ML interatomic potentials. Our work demonstrates that quantum-chemical bonding properties can be incorporated into ML models to predict phononic properties.[3] This approach enables large-scale validation of expected correlations—such as the link between bonding strength and force constants or thermal conductivities. Furthermore, we have built an automated training framework for machine-learned interatomic potentials (autoplex).[4] Initial workflows include random structure searches, suitable for general-purpose potentials, as well as specialized workflows targeting ML potentials with accurate phonon properties. While atomistic simulations are highly effective for certain material properties, others—such as magnetism or synthesizability—remain challenging. In these cases, promising strategies include benchmarking established ab initio methods against chemical heuristics or developing new ML models primarily based on experimental data.[5,6] T2 - MATSUS Spring 2026 CY - Barcelona, Spain DA - 24.03.2026 KW - Materials Design KW - High-througput KW - Bonding properties KW - Thermal conductivity KW - Amorphous materials KW - Crystallisation PY - 2026 AN - OPUS4-65734 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Falkenhagen, Jana T1 - Coupling of chromatographic and spectrometric techniques for polymer characterization N2 - Coupling of chromatographic and spectrometric techniques for polymer characterization; focus topics: LCxMALDI-TOF-MS and UPLC x ESI-TOF-MS T2 - 16. Tagung des Arbeitskreises Polymeranalytik CY - Online meeting DA - 22.03.2022 KW - Liquid chromatography KW - Mass spectrometry KW - Polymers KW - Two-dimensional chromatography (2D-LC) PY - 2022 AN - OPUS4-54567 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Altmann, Korinna T1 - Reference material candidates for microplastic analysis N2 - Every day, there are new headlines in the media about microplastics (1-1000 µm, ISO/TR 21960:2020) and nanoplastics (< 1 µm, ISO/TR 21960:2020) findings all over the planet with high variations in particle number and mass. The challenges in analytics are very complex, e.g. representative sampling, non-destructive sample preparation with concentrated particles and homogeneous distribution and true detection. All together lead to lacks in harmonization and results, which are hardly comparable. On the other hand, monitoring of microplastics is mandatory in the future strictly regulated by the EU commission in the Drinking water and Wastewater Framework Directive. One step to accurate and precise results will be the development of suitable reference materials mimicking particles in the environment. BAM developed test materials, which are produced by mixing a small portion of microplastic particles with a water-soluble matrix. After solid phase dilution and homogenisation small portions are pressed into tablets and bottled in glass vials (Figure 1). These tablets are well characterized with particle size distribution and SEM images. Additionally, they are tested as reference material candidate according to homogeneity and stability for particle number with µ-IR and µ-Raman as well as on particle mass with Py-GC/MS and TED-GC/MS after ISO Guide 35. Results are promising. The material passed the homogeneity control. No changes are observed within 6 months of storage. The same tested reference material is finally used in sample preparation experiments, where environmental suspended particular matter from surface water or baby milk powders are spiked with the tablets. T2 - ESOPS CY - Berlin, Germany DA - 09.09.2024 KW - Microplastics KW - TED-GC/MS KW - Reference materials KW - Polymer 3R KW - Tablets PY - 2024 AN - OPUS4-61017 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Getting down to business: pragmatic solutions for laboratory automation N2 - A chemical engineer by training, Brian drifted towards physics and now focuses on a broad spectrum of activities with the aim to improve scientific reproducibility. This includes studies on holistically improving data quality, data collection efficiency and traceability, as well as concomitant laboratory automation for the preparation of consistent, well-documented sample series. The need for pragmatism led to an inexpensive, flexible laboratory automation platform that can be implemented in a modest amount of time. This talk presents that effort. T2 - Future Labs Live 2024 CY - Basel, Switzerland DA - 25.06.2024 KW - Laboratory automation KW - Experiment tracking KW - Holistic experimentation KW - Experimental traceability KW - Data visualisation KW - Parameter correlation. PY - 2024 AN - OPUS4-60583 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Glimpses of the future: a “full stack”, highly automated materials research laboratory N2 - In our (dramatically understaffed) X-ray scattering laboratory, developing a systematic, holistic methodology let us provide scattering and diffraction information for more than 2100 samples for 200+ projects led by 120+ collaborators. Combined with automated data correction pipelines, and our analysis and simulation software, this led to more than 40 papers in the last 5 years with just over 2 full-time staff members. This year, our new, modular synthesis platform has made more than 1000 additional samples for us to analyse and catalogue. By virtue of the automation, the synthesis of these samples is automatically documented in excruciating detail, preparing them for upload and exploitation in large-scale materials databases. Having developed these proof-of-concepts, we find that materials research itself is changed dramatically by automating dull tasks in a laboratory. This talk is intended to spark ideas and collaborations by providing an overview of: 1) the current improvements in our scattering laboratory methodology, 2) introducing our open, modular robotic platform that is used for systematic sample preparation, and 3) demonstrating the data structure of the synthesis logs and measurements. Finally, the remaining bottlenecks and points of attention across all three are highlighted. T2 - FAIRmat seminar CY - Berlin, Germany DA - 28.09.2023 KW - Data stewartship KW - Metadata collection KW - Laboratory methodology KW - MOUSE KW - Robotics KW - Lab automation KW - Holistic science PY - 2023 UR - https://www.fairmat-nfdi.eu/events/brian-pauw AN - OPUS4-58464 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -