A team led by Nagoya University researchers in Japan has successfully predicted crystal orientation by teaching an artificial intelligence (AI) using optical photographs of polycrystalline materials. The results were published in APL Machine Learning. Crystals are a vital component of many machines. Familiar materials used in industry contain polycrystalline components, including metal alloys, ceramics, and semiconductors. As polycrystals are made up of many crystals, they have a complex microstructure, and their properties vary greatly depending on how the crystal grains are orientated.

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