2024
DOI: 10.1016/j.commatsci.2024.112976
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Phase prediction of high-entropy alloys based on machine learning and an improved information fusion approach

Cun Chen,
Xiaoli Han,
Yong Zhang
et al.
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Cited by 4 publications
(6 citation statements)
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“…These dislocations then slip, leading to the formation of hexagonal close-packed (HCP) structures within the FCC lattice. Conversely, when shock loading is applied along the [110] and [111] directions, the study finds a prevalence of disordered structures. This outcome is linked to inadequate lattice displacement along the <112> direction on the {111} crystal plane of the FCC structure and a lack of coordinated deformation among the <001>, <110>, and <111> directions in the BCT structure.…”
Section: Properties Of High-entropy Alloysmentioning
confidence: 82%
See 4 more Smart Citations
“…These dislocations then slip, leading to the formation of hexagonal close-packed (HCP) structures within the FCC lattice. Conversely, when shock loading is applied along the [110] and [111] directions, the study finds a prevalence of disordered structures. This outcome is linked to inadequate lattice displacement along the <112> direction on the {111} crystal plane of the FCC structure and a lack of coordinated deformation among the <001>, <110>, and <111> directions in the BCT structure.…”
Section: Properties Of High-entropy Alloysmentioning
confidence: 82%
“…It finds that these orientations significantly influence the slip mode and stress concentration areas. Notably, a distinct "pop-in" behavior, indicative of sudden material displacement, is observed in the [111]-oriented sample but not in others, highlighting the orientationdependent mechanical response. Microstructure evolution is shown to be anisotropic across different crystallographic orientations, leading to variations in dislocation density and hardness.…”
Section: Properties Of High-entropy Alloysmentioning
confidence: 85%
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