29 citations · 30 across the 2 of their papers we have counts for
2 papers
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…
cond-mat.mtrl-sci2019★ 29 cited
Electron Bessel beam diffraction for precise and accurate nanoscale strain mapping
Giulio Guzzinati, Wannes Ghielens, Christoph Mahr +4
Strain has a strong effect on the properties of materials and the performance of electronic devices. Their ever shrinking size translates into a constant demand for accurate and pr…