Ceramic and semiconductor research is limited in its ability to create holistic representations of data in concise, easily-accessible file formats or visual data representations. These materials are used in everyday electronics, and optimizing their electrical and physical properties is important for developing more advanced computational technologies. There is a desire to understand how changing the composition of the ceramic alters the shape and structure of the grown crystals. However, few accessible tools exist to generate a dataset with the proper organization to understand correlations between grain orientation and crystallographic orientation. This talk describes an approach to analyzing the crystal structure using data collected from AFM and EBSD scans to build an accurate image of the crystal structure and orientation in the ceramic. The following tool takes data from AFM and EBSD scans of the same surface to create an accessible and easily-manipulatable data organization that stores several parameters relating to the crystallographic information of the surface. While this code was tested using on barium strontium titanate, but can of other materials with crystalline surfaces can take advantage of this analysis tool.

Researchers should cite this work as follows:

• NCN Undergraduate Research Experience 2018

• Andrew Martin Krawec (2019), "3 min Research Talk: AFM And EBSD Cross-Comparison Analysis Tool," https://nanohub.org/resources/29608.

  BibTex | EndNote

1. atomic force microscopy (AFM)
2. computational materials science
3. crystals
4. EBSD
5. electron backscattered diffractometry
6. material properties
7. materials science
8. ncndev
9. NCN URE 2018
10. Simulation
11. simulation tool making
12. undergraduate research