1 citations · 2 across the 3 of their papers we have counts for
3 papers
pynxtools: A Python framework for generating and validating NeXus files in experimental data workflows
Sherjeel Shabih, Lukas Pielsticker, Florian Dobener +19
Scientific data across physics, materials science, and materials engineering often lacks adherence to FAIR principles (Barker et al., 2022; Jacobsen et al., 2020; M. D. Wilkinson e…
On Strong-Scaling and Open-Source Tools for High-Throughput Quantification of Material Point Cloud Data: Composition Gradients, Microstructural Object Reconstruction, and Spatial Correlations
Markus Kühbach, Vitor Vieira Rielli, Sophie Primig +8
Characterizing microstructure-material-property relations calls for software tools which extract point-cloud- and continuum-scale-based representations of microstructural objects.…
Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data
Xuyang Zhou, Ye Wei, Markus Kühbach +6
Grain boundaries (GBs) are planar lattice defects that govern the properties of many types of polycrystalline materials. Hence, their structures have been investigated in great det…