[HTML][HTML] A review of image processing and quantification analysis for solid oxide fuel cell
KS Tan, CK Lam, WC Tan, HS Ooi, ZH Lim - Energy and AI, 2024 - Elsevier
The purpose of this study is to investigate the approaches applied to analyze solid oxide fuel
cell (SOFC) microstructural properties. Both manual and automated image processing …
cell (SOFC) microstructural properties. Both manual and automated image processing …
Integrated application of semantic segmentation-assisted deep learning to quantitative multi-phased microstructural analysis in composite materials: Case study of …
H Hwang, SM Choi, J Oh, SM Bae, JH Lee… - Journal of Power …, 2020 - Elsevier
Automated semantic segmentation is applied to the quantification of microstructural features
in three-phase composite cathode materials of solid oxide fuel cells (SOFCs), ie …
in three-phase composite cathode materials of solid oxide fuel cells (SOFCs), ie …
Deep learning-assisted microstructural analysis of Ni/YSZ anode composites for solid oxide fuel cells
H Hwang, J Ahn, H Lee, J Oh, J Kim, JP Ahn… - Materials …, 2021 - Elsevier
Quantitative microstructural interpretations were carried out without human involvement
through an integrated combination of deep learning and focused ion beam-scanning …
through an integrated combination of deep learning and focused ion beam-scanning …
Quantification of correlation between microstructure and mechanical properties of Ni–BaZrxCe0.8−xY0.1Yb0.1O3-δ (x = 0.1, 0.5) cermet anodes by image …
In this study, the effect of sintering temperature on microstructure and mechanical properties
of Ni–BaZr x Ce0. 8− x Y0. 1Yb0. 1O3-δ (Ni–BZCYYb); x= 0.1 and 0.5, cermet anodes for …
of Ni–BaZr x Ce0. 8− x Y0. 1Yb0. 1O3-δ (Ni–BZCYYb); x= 0.1 and 0.5, cermet anodes for …