Automated serial sectioning for 3-D analysis of microstructures

By J. Spowart. 2006

168 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Materials Chemistry, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/0ed389ec284a0d44a7481ef95078e4605ace4f09

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. J. Markmann
2. Celal Soyarslan
3. Swantje Bargmann

In Mechanics of Materials

1. J. Wilmers
2. J. Markmann
3. Celal Soyarslan
4. Benjamin Klusemann
5. Konrad Schneider
6. J. Schnabel
7. Swantje Bargmann

Citations in the corpus

• Key computational modeling issues in Integrated Computational Materials Engineering (2013, unknown): “structure datasets [151–162].”
• Generation of 3D representative volume elements for heterogeneous materials: A review (2018, background): “Nevertheless, due to the inherently destructive character of the method, serial sectioning only allows static and ex situ observations [277].”
• Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization (2020, unknown): “D atom probe [61] and automated serial sectioning [62] have made possible to capture 3D material microstructures.”