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- Title
Industry Updates.
- Abstract
Researchers at Nagoya University in Japan have used artificial intelligence (AI) to discover a new method for understanding dislocations in polycrystalline materials, which are widely used in electronic devices. The AI created a 3D model to identify areas where dislocation clusters were affecting the material's performance. The researchers found that staircase-like structures at the boundaries between crystal grains caused dislocations during crystal growth. This research has the potential to revolutionize the performance of polycrystalline materials and contribute to the creation of innovative materials.
- Subjects
MATERIALS science; ELECTRONIC equipment; THERMAL imaging cameras; CRYSTAL defects; CRYSTAL grain boundaries; FATIGUE limit; MAGNESIUM alloys
- Publication
Journal of Failure Analysis & Prevention, 2024, Vol 24, Issue 3, p1063
- ISSN
1547-7029
- Publication type
Article
- DOI
10.1007/s11668-024-01923-9