2023
DOI: 10.1016/j.actamat.2022.118599
|View full text |Cite
|
Sign up to set email alerts
|

Grain incompatibility determines the local structure of amorphous grain boundary complexions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 129 publications
0
3
0
Order By: Relevance
“…Notably, while a decrease in hardness was observed, no delamination of the coatings was observed under these annealing conditions. This was due to the absence of grain boundaries and defects, which are typically present in crystalline materials and can act as initiation sites for thermal degradation processes [29,30]. In featureless or amorphous structures, the absence of long-range order and the presence of a disordered atomic arrangement result in improved resistance to grain growth, diffusion, and structural transformations at elevated temperatures [31,32].…”
Section: Resultsmentioning
confidence: 99%
“…Notably, while a decrease in hardness was observed, no delamination of the coatings was observed under these annealing conditions. This was due to the absence of grain boundaries and defects, which are typically present in crystalline materials and can act as initiation sites for thermal degradation processes [29,30]. In featureless or amorphous structures, the absence of long-range order and the presence of a disordered atomic arrangement result in improved resistance to grain growth, diffusion, and structural transformations at elevated temperatures [31,32].…”
Section: Resultsmentioning
confidence: 99%
“…From a structural perspective, the two share similarities, and the high-angle GB in this work can be approximated to the amorphous phase. Consequently, the activation energy of GB migration can be regarded as the energy difference between the crystalline and amorphous phases [ 42 , 56 , 57 , 58 , 59 ]. By analyzing Equation (3), we can see that Δ F is related to the heat of fusion L , representing the energy difference between the crystalline and amorphous phases [ 42 ].…”
Section: Discussionmentioning
confidence: 99%
“…2(d)) and limited training data result in low accuracy predictions. Additionally, it is important to note that the descriptors are calculated using Voronoi tessellations that is extremely sensitive to atomic environments and introduces uncertainty in the training data and predictions [25,26].…”
Section: Reverse Learning Modelmentioning
confidence: 99%