Understanding multi-phase nano-scale structural complexity of reacted SiC coating of TRISO particle using STEM and unsupervised clustering
- Abstract number
- 129
- Presentation Form
- Contributed Talk
- DOI
- 10.22443/rms.mmc2023.129
- Corresponding Email
- [email protected]
- Session
- EMAG - EM Data Processing & Analysis
- Authors
- Mr Zhiquan Kho (1), Mr. Kerui Wei (1), Dr. Alexander Eggeman (1), Prof. Ping Xiao (1)
- Affiliations
-
1. University of Manchester
- Keywords
STEM, SEM, unsupervised machine learning, TRISO
- Abstract text
- References