2021
DOI: 10.1038/s41563-021-00920-9
|View full text |Cite
|
Sign up to set email alerts
|

A percolation theory for designing corrosion-resistant alloys

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

2
52
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 69 publications
(54 citation statements)
references
References 28 publications
2
52
0
Order By: Relevance
“…Recently, Sieradzki and co‐workers provided a “percolation theory” to explain such phenomenon and presented more experimental details in iron–chromium and nickel–chromium binary alloys. [ 59 ] Nevertheless, the large grains in the inner matrix of ZTFC (layer 5) crystallized well, as convinced by the fast Fourier transfer (FFT) pattern shown in the inset of Figure 5d,e.…”
Section: Resultsmentioning
confidence: 74%
“…Recently, Sieradzki and co‐workers provided a “percolation theory” to explain such phenomenon and presented more experimental details in iron–chromium and nickel–chromium binary alloys. [ 59 ] Nevertheless, the large grains in the inner matrix of ZTFC (layer 5) crystallized well, as convinced by the fast Fourier transfer (FFT) pattern shown in the inset of Figure 5d,e.…”
Section: Resultsmentioning
confidence: 74%
“…Different from the nucleation period, growth of passive film mainly depends on both clustering and diffusion of the anticorrosion elements, such as Cr 29,30 . The formation of passive film on the CoCrFeMnNi HEA has been reported to be governed by defects for effective ion transport 31 .…”
Section: Discussionmentioning
confidence: 99%
“…This approach omits key aspects of the oxidation problem at the nanoscale. Initial (≤10 −7 s) and kinetically-controlled film growth can be described by decoupled kinetic models, such as percolation and diffusion models [1][2][3], however, these rely often on experimentally-derived parameters that are challenging to extract. On the other hand, thermodynamic phase diagrams have demonstrated success as predictive tools for understanding scale growth [4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%