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20232025
most citedGenerating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs

2 citations · 3 across the 4 of their papers we have counts for

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cs.CV2023★ 1 cited

Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data

Lukas Fuchs, Tom Kirstein, Christoph Mahr +5

The structural characterization of hetero-aggregates in 3D is of great interest, e.g., for deriving process-structure or structure-property relationships. However, since 3D imaging…