5 citations · 7 across the 3 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 1 cited
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.…
cond-mat.mtrl-sci2022★ 5 cited
Shared Metadata for Data-Centric Materials Science
Luca M. Ghiringhelli, Carsten Baldauf, Tristan Bereau +32
The expansive production of data in materials science, their widespread sharing and repurposing requires educated support and stewardship. In order to ensure that this need helps r…