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Organisationseinheit der BAM
Dieser Bericht beschreibt die Zertifizierung von 3 synthetischen Isotopenmischungen aus natürlicher und angereicherter Borsäure. Diese Isotopen-ZRM liegen als konzentrierte, wäs-serige Borsäure-Lösungen vor und sind bezüglich ihrer Isotopenzusammensetzung zertifi¬ziert. Der Bor-Gesamtgehalt ist als Richtwert angegeben. Die Unsicherheiten sind erweiterte Messunsicherheiten mit k=2. Sie sind in Klammern angegeben und beziehen sich auf die letzten beiden Stellen. Die vorliegenden Isotopen-ZRM sind bezüglich ihrer Isotopenzu¬sam-mensetzung mit erweiterten relativen Messunsicherheiten kleiner 0,12% zertifiziert. Die ab-solute, kombinierte Standardunsicherheit des prozentualen Stoffmengenanteils der Isotope (Isotopenhäufigkeit) liegt zwischen 0.012 und 0.017.
Advanced experimental and numerical approaches are being developed to
capture the localization of plasticity at the nanometer scale as a function of the multiscale and heterogeneous microstructure present in metallic materials.
These innovative approaches promise new avenues to understand microstructural effects on mechanical properties, accelerate alloy design, and enable more accurate mechanical property prediction. This article provides an overview of emerging approaches with a focus on the localization of plasticity by crystallographic slip. New insights into the mechanisms and mechanics of strain localization are addressed. The consequences of the localization of plasticity by deformation slip for mechanical properties of metallic materials are also detailed.
In the present study, we applied a regularized inversion method to extract the particle size, magnetic moment and relaxation-time distribution of magnetic nanoparticles from small-angle x-ray scattering (SAXS), DC magnetization (DCM) and AC susceptibility (ACS) measurements. For the measurements the particles were colloidally dispersed in water. At first approximation the particles could be assumed to be spherically shaped and homogeneously magnetized single-domain particles. As model functions for the inversion, we used the particle form factor of a sphere (SAXS), the Langevin function (DCM) and the Debye model (ACS). The extracted distributions exhibited features/peaks that could be distinctly attributed to the individually dispersed and non-interacting nanoparticles. Further analysis of these peaks enabled, in combination with a prior characterization of the particle ensemble by electron microscopy and dynamic light scattering, a detailed structural and magnetic characterization of the particles. Additionally, all three extracted distributions featured peaks, which indicated deviations of the scattering (SAXS), magnetization (DCM) or relaxation (ACS) behavior from the one expected for individually dispersed, homogeneously magnetized nanoparticles. These deviations could be mainly attributed to partial agglomeration (SAXS, DCM, ACS), uncorrelated surface spins (DCM) and/or intra-well relaxation processes (ACS). The main advantage of the numerical inversion method is that no ad hoc assumptions regarding the line shape of the extracted distribution functions are required, which enabled the detection of these contributions. We highlighted this by comparing the results with the results obtained by standard model fits, where the functional form of the distributions was a priori assumed to be log-normal shaped.