Präsentation
Filtern
Dokumenttyp
- Vortrag (114)
Sprache
- Englisch (78)
- Deutsch (35)
- Mehrsprachig (1)
Referierte Publikation
- nein (114)
Schlagworte
- Wasserstoff (8)
- Additive Manufacturing (6)
- Hydrogen (6)
- Bewertung (5)
- Microplastics (5)
- Robotic melting (5)
- Safety (5)
- Workflow (5)
- Assessment (4)
- Automation (4)
- Data Space (4)
- Interlaboratory comparison (4)
- Ontology (4)
- Simulation (4)
- Standardisation (4)
- Bonding Analysis (3)
- Chemometrics (3)
- Circular Economy (3)
- Glass (3)
- Laser (3)
- Materials Design (3)
- Normung (3)
- Ontologie (3)
- Policy making (3)
- Polymer 3R (3)
- Reference materials (3)
- Residual stress (3)
- Scintillators (3)
- TED-GC/MS (3)
- Additive Fertigung (2)
- Additive manufacturing (2)
- Auswirkungsbetrachtungen (2)
- Biobased polymers (2)
- Biofilm (2)
- Digitales Zertifikat (2)
- Digitalization (2)
- ESPR (2)
- Eigenspannungen (2)
- Electron microscopy (2)
- Elektrische Energiespeicher (2)
- Ellipsometry (2)
- Gefahrgut (2)
- Gender gap (2)
- Glas (2)
- Glass Digital (2)
- Graphene related 2D materials (2)
- HR-CS-MAS (2)
- Holistic experimentation (2)
- IAEA (2)
- ILC (2)
- In situ monitoring (2)
- Isotopes (2)
- Laboratory automation (2)
- Laboratory specimens (2)
- Legierungsmodifikation (2)
- Lithium (2)
- Lithium-Ionen-Batterie (2)
- Machine Learning (2)
- Mass spectrometry (2)
- Metrology (2)
- Microbiome (2)
- Multifunctional nanoparticles (2)
- Nanoparticles (2)
- Nanotechnology (2)
- Oberflächenintegrität (2)
- Plattform Material Digital (2)
- Qualitätsinfrastruktur (2)
- Qualitätssicherung (2)
- Radioaktive Stoffe (2)
- Reference material (2)
- Representative specimens (2)
- Reproducibility crisis (2)
- Stationäre Energiespeicher (2)
- Thermal history (2)
- Thermisches Durchgehen (2)
- Thermografie (2)
- Transport (2)
- Transportbehälter (2)
- Ultraschallunterstütztes Fräsen (2)
- VAMAS (2)
- Validation (2)
- Workflows (2)
- X-ray diffraction (2)
- X-ray photoelectron spectroscopy (2)
- ZfP (2)
- Zwischenlagerung (2)
- AFM (1)
- Advanced ceramics (1)
- Alternative Dichtheitsprüfverfahren (1)
- Analytical techniques (1)
- Application properties (1)
- Assessement method (1)
- Atomic spectrometry (1)
- Aufmischung (1)
- BAM Data Store (1)
- BOS (1)
- Bedarfserhebung (1)
- Begasung (1)
- Berstversuch (1)
- Betrieb (1)
- Binder Jetting (1)
- Bioceramic (1)
- Biodegradable polymers (1)
- Bioinformatic algorithms (1)
- Biologische Anwendungen (1)
- Biosphere (1)
- Black fungi (1)
- Blast (1)
- Boron (1)
- CFD (1)
- CFK (1)
- Calibration (1)
- Carbonfasern (1)
- Cement Hydration Model (1)
- Ceramic (1)
- Ceramics (1)
- Chemical Bonding (1)
- Chemically Complex Materials (1)
- Composite materials (1)
- Composite-Druckbehälter (1)
- Consequence (1)
- Contour method (1)
- Cooper (1)
- Core-shell nanoparticle (1)
- Correlative Imaging (1)
- Correlative Spectroscopy (1)
- Coupling of structural and material design (1)
- DED-arc (1)
- DLP (1)
- DMD (1)
- DPP (1)
- Data Interoperability (1)
- Data Spaces (1)
- Data science (1)
- Data visualisation (1)
- Datenräume (1)
- Degradation (1)
- Dental ceramics (1)
- Digital Transformation (1)
- Digital Twin (1)
- Digitale Transformation (1)
- Druckgaspackungen (1)
- Druckgefäß (1)
- EPR (1)
- EU Energy Label (1)
- Ecodesign (1)
- Elctronic Lab Notebook (1)
- Electrical Paramters (1)
- Electron Backscatter Diffraction (1)
- Endpoints (1)
- Energy labelling (1)
- Ermüdungsfestigkeit (1)
- Experiment tracking (1)
- Experimental traceability (1)
- Explosion protection (1)
- FAIR (1)
- FAIR data management (1)
- FEM (1)
- FT-IR (1)
- Facade systems (1)
- Female noble prize winners (1)
- Feuersicherheit (1)
- Fiber optic sensing (1)
- Fire behaviour (1)
- Fire testing (1)
- Flame retardants (1)
- Fluoride phosphate glasses (1)
- Forschungsdatenmanagement (1)
- Freistrahlflamme (1)
- Functionalized graphene (1)
- GDOES (1)
- Gastomographie (1)
- German National Alliance for Hydrogen Safety (1)
- Glasses (1)
- Grenzflächenenergie (1)
- HR-CS-AAS (1)
- Heat accumulation (1)
- High energy radiation (1)
- High entropy alloy (1)
- High strength steel (1)
- High-entropy alloy (1)
- Hochdruck (1)
- Hochfester Stahl (1)
- Holzschutz (1)
- Host-guest hybrid materials (1)
- Hydraulischer Lastwechselversuch (1)
- ILC on detection methods (1)
- Ignition source (1)
- Imaging ellipsometry (1)
- Impakt (1)
- Knowledge Representation (1)
- Knowledge graph and ontologies (1)
- Knufia petricola (1)
- Korrosion (1)
- Kristallorientierung (1)
- LAMIS (1)
- LSD-print (1)
- LTT (Low Transformation Temperature) (1)
- LTT-Zusatzwerkstoffe (1)
- LUP KAS-18 (1)
- Labelling (1)
- Laboratory management (1)
- Laser Ablation Molecular Absorption spectrometry (1)
- Laser Powder Bed Fusion (1)
- Laser technology (1)
- Laser-induced Periodic Surface Structures (LIPSS) (1)
- Laser-induced periodic surface structures (LIPSS) (1)
- Laser-induzierte Röntgenstrahlung (1)
- Layerwise slurry deposition (1)
- Leichtbau (1)
- Light-induced stress (1)
- Lignin (1)
- Liquid chromatography (1)
- Machine learning (1)
- Machining (1)
- Magnesium (1)
- Magnetism (1)
- Market suveillance (1)
- Material efficiency (1)
- Materialbearbeitung (1)
- Measurement uncertainty (1)
- Mechanical impacts (1)
- Methan (1)
- Method validation (1)
- Methodology development (1)
- Metrological traceability (1)
- Microplastic (1)
- Microplastics detection (1)
- Microstructure (1)
- Mikroplastik (1)
- Mikrostrukturen (1)
- Mobile Robotic Olfaction (1)
- Mobile Sensorik (1)
- NDT (1)
- NIST (1)
- Nanoanalytics (1)
- Nanoelectronics (1)
- Nanostructural analysis (1)
- Nanostrukturen (1)
- Neutron diffraction (1)
- Nichtrostender Stahl (1)
- Nitrogen (1)
- Noble metal nanoparticles (1)
- Oberflächenfunktionalisierung (1)
- Oberflächenkeimbildung (1)
- Offshore Windenergy Pile Buckling (1)
- Open Innovation Test Bed (1)
- OpenBIS (1)
- Optical properties (1)
- Optical properties of glasses and ceramics (1)
- Optical spectroscopy (1)
- PMD Core Ontology (1)
- Parameter correlation. (1)
- Persistent luminescence (1)
- Persistent luminescent (1)
- Phosphors (1)
- Photodynamic therapy (1)
- Pipeline (1)
- PlasticTrace (1)
- Poly(lactides) (1)
- Polyethylene (1)
- Polyethylene Terephtalate (1)
- Polymers (1)
- Power electronics (1)
- Quality assurance (1)
- Quality control (1)
- Quality management (1)
- Quality-X (1)
- Quantum dots (1)
- Radiation-matter interaction (1)
- Raman (1)
- Recycling (1)
- Reference products (1)
- Reference standards (1)
- Referenzmaterial (1)
- Regelwerk (1)
- Reliability (1)
- Reparaturschweißen (1)
- Research Data Management (1)
- Research data management (1)
- Residual Stress (1)
- Reusability (1)
- Ringversuche (1)
- Robotic glass melting (1)
- Robotische Schmelzanlage (1)
- Rotschlamm (1)
- SAXS (1)
- Scaling (1)
- Schleifbearbeitung (1)
- Semantic Data (1)
- Semantic Interoperability (1)
- Semantische Daten (1)
- Sensing (1)
- SiFo (1)
- Sicherheit (1)
- Sicherheitsforschung (1)
- Slurry (1)
- Smart Standard (1)
- Spectroscopy (1)
- Stahl (1)
- Stakeholder (1)
- Standardization (1)
- Structure property correlations (1)
- Structure-property correlation (1)
- Super-Resolution (1)
- Superalloy (1)
- Surface functionalization (1)
- Sustainability (1)
- Technical lignin (1)
- Technische Materialien (1)
- Tensile Test Ontology (1)
- Theranostics (1)
- Thermal Properties (1)
- Thermography (1)
- Thin Layers (1)
- Time-resolved analysis (1)
- Titania nanoparticles (1)
- Transparent ceramics (1)
- Tunable Diode Laser Absorption Spectroscopy (1)
- Two Photon Polymerization (1)
- Two-dimensional chromatography (2D-LC) (1)
- Ultrafast laser processing (1)
- Ultrakurzpuls-Laserbearbeitung (1)
- Ultrakurzpulslaser (1)
- Upconversion (1)
- Upconversion nanoparticles (1)
- Verformung (1)
- Virus detection (1)
- Wasserstoffplasma (1)
- Welding (1)
- White light emitters (1)
- White light interference microscopy (1)
- Wissensrepräsentation (1)
- Women in science (1)
- Wärmestrahlung (1)
- X-ray scattering (1)
- Zerstörungsfreie Prüfung (1)
- Zustimmung (1)
- digitale Transformation (1)
Organisationseinheit der BAM
- 5 Werkstofftechnik (29)
- 6 Materialchemie (28)
- 5.6 Glas (18)
- 6.1 Oberflächen- und Dünnschichtanalyse (14)
- 9 Komponentensicherheit (12)
- 3 Gefahrgutumschließungen; Energiespeicher (10)
- 9.4 Integrität von Schweißverbindungen (9)
- S Qualitätsinfrastruktur (9)
- 2 Prozess- und Anlagensicherheit (7)
- 3.5 Sicherheit von Gasspeichern (7)
Eingeladener Vortrag
- ja (114) (entfernen)
An alternative method for lithium isotope analysis by using high-resolution atomic absorption spectrometry (HR-CS-AAS) is proposed herein. This method is based on monitoring the isotope shift of approximately 15 pm for the electronic transition 22P←22S at around the wavelength of 670.8 nm, which can be measured by state-of-the-art HR-CS-AAS. Isotope analysis can be used for (i) the traceable determination of Li concentration and (ii) isotope amount ratio analysis based on a combination of HR-CS-AAS and spectral data analysis by machine learning (ML).
In the first case, the Li spectra are described as the linear superposition of the contributions of the respective isotopes, each consisting of a spin-orbit doublet, which can be expressed as Gaussian components with constant spectral position and width and different relative intensity, reflecting the isotope ratio in the sample. Precision was further improved by using lanthanum as internal spectral standard. The procedure has been validated using human serum-certified reference materials. The results are metrologically comparable and compatible with the certified values.
In the second case, for isotope amount ratio analysis, a scalable tree boosting ML algorithm (XGBoost) was employed and calibrated using a set of samples with 6Li isotope amount fractions ranging from 0.06 to 0.99 mol mol−1. The training ML model was validated with certified reference materials. The procedure was applied to the isotope amount ratio determination of a set of stock chemicals and a BAM candidate reference material NMC111 (LiNi1/3Mn1/3Co1/3O2), a Li-battery cathode material. These determinations were compared with those obtained by MC-ICP-MS and found to be metrologically comparable and compatible. The residual bias was −1.8‰, and the precision obtained ranged from 1.9‰ to 6.2‰. This precision was sufficient to resolve naturally occurring variations. The NMC111 cathode candidate reference material was analyzed using high-resolution continuum source atomic absorption spectrometry with and without matrix purification to assess its suitability for technical applications. The results obtained were metrologically compatible with each other.
Glow discharge optical emission spectroscopy (GD-OES) is a technique for the analysis of solids such as metals, semiconductors, and ceramics. A low-pressure glow discharge plasma is applied in this system, which ‘sputters’ and promotes the sample atoms to a higher energy state. When the atoms return to their ground state, they emit light with characteristic wavelengths, which a spectrometer can detect. Thus, GD-OES combines the advantages of ICP-OES with solid sampling techniques, which enables it to determine the bulk elemental composition and depth profiles. However, direct solid sampling methods such as glow-discharge spectroscopy require reference materials for calibration due to the strong matrix effect.
Reference materials are essential when the accuracy and reliability of measurement results need to be guaranteed to generate confidence in the analysis. These materials are frequently used to determine measurement uncertainty, validate methods, suitability testing, and quality assurance. In addition, they guarantee that measurement results can be compared to recognized reference values. Unfortunately, the availability of certified reference materials suited to calibrate all elements in different matrix materials is limited. Therefore various calibration strategies and the preparation of traceable matrix-matched calibration standards will be discussed.
Machine learning is an essential component of the growing field of data science. Through statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. Therefore, it was tried in our work to combine GD-OES with machine learning strategies to establish a new and robust calibration model, which can be used to identify the elemental composition and concentration of metals from a single spectrum. For this purpose, copper reference materials from different manufacturers, which contain various impurity elements, were investigated using GD-OES. The obtained spectra information are evaluated with different algorithms (e.g., gradient boosting and artificial neural networks), and the results are compared and discussed in detail.
In view of the increasing digitization of research and the use of data-intensive measurement and analysis methods, research institutions and their staff are faced with the challenge of documenting a constantly growing volume of data in a comprehensible manner, archiving them for the long term, and making them available for discovery and re-use by others in accordance with the FAIR principles. At BAM, we aim to facilitate the integration of research data management (RDM) strategies during the whole research cycle from the creation and standardized description of materials datasets to their publication in open repositories. To this end, we present the BAM Data Store, a central system for internal RDM that fulfills the heterogenous demands of materials science and engineering labs. The BAM Data Store is based on openBIS, an open-source software developed by the ETH Zurich that has originally been created for life science laboratories but that has since been deployed in a variety of research domains. The software offers a browser-based user interface for the digital representation of lab inventory entities (e.g., samples, chemicals, instruments, and protocols) and an electronic lab notebook for the standardized documentation of experiments and analyses.
To investigate whether openBIS is a suitable framework for the BAM Data Store, we carried out a pilot phase during which five research groups with employees from 16 different BAM divisions were introduced to the software. The pilot groups were chosen to represent a diverse array of domain use cases and RDM requirements (e.g., small vs big data volume, heterogenous vs structured data types) as well as varying levels of prior IT knowledge on the users’ side.
Overall, the results of the pilot phase are promising: While the creation of custom data structures and metadata schemas can be time-intensive and requires the involvement of domain experts, the system offers specific benefits in the form of a simplified documentation and automation of research processes, as well as constituting a basis for data-driven analysis. In this way, heterogeneous research workflows in various materials science research domains could be implemented, from the synthesis and characterization of nanomaterials to the monitoring of engineering structures. In addition to the technical deployment and the development of domain-specific metadata standards, the pilot phase also highlighted the need for suitable institutional infrastructures, processes, and role models. An institute-wide rollout of the BAM Data Store is currently being planned.