Ni-W Based Alloy 4D STEM Data
<p>Ni-W based alloys have been extensively employed in the nuclear energy and national defense industries due to their excellent static/dynamic mechanical properties and high densities. The mechanical performance of these alloys can be further tailored through the addition of a variety of impurities with varying compositions. To investigate the structure of this material and identify any potential precipitates and/or second phases, a 4D-STEM data set was acquired using a Gatan K3 IS camera and a STEMx system in electron counting mode on a JEOL ARM 300F. Data was binned 8x in diffraction space for faster analysis. This data was analyzed for the NUANCE/Gatan Virtual Workshop on 4D STEM: Theory, Acquisition, and Analysis on December 9th, 2020. The python analysis code "DIY: Using Python to Process 4D STEM Data" is available on github at <a href="https://github.com/smribet/DIY_4DSTEM?fbclid=IwAR0xpnlYnnFA3K3hUBSHgizB3MMuDuOHP_kutFoz_UurX9xqDPbStGeeDYk">https://github.com/smribet/DIY_4DSTEM</a>.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- December 7, 2020
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.4307782
Scored with release 0.9.0
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