Researchers at UC Irvine have made a breakthrough by directly observing atomic-scale grain rotation in polycrystalline materials, which are widely used in industries like electronics and aerospace. Using advanced microscopy and machine learning, the team identified disconnections at grain boundaries as the key drivers of grain rotation. This insight enhances understanding of the material’s microstructure, which could lead to more efficient and durable technologies in various applications. Their findings provide critical data for optimizing the performance of polycrystalline materials.
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