Using advanced microscopic technologies, including 4D-STEM, scientists have gained unique insights into how grain boundaries change through “splitting motion.”
The study found that grain rotation is associated with grain growth or contraction, deepening our understanding of the dynamics of nanocrystalline materials. Using machine learning algorithms to analyze large volumes of data, scientists have uncovered fundamental mechanisms of material behavior. These findings, published in the journal Science, could lead to increased efficiency and durability of technologies in fields such as electronics and aerospace.
Source: Ferra
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