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

Link to abstract

References