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预测金属玻璃中弦状运动的路径,通过路径特征图形神经网络

Qi Wang1, Long-Fei Zhang2, Zhen-Ya Zhou3

  • 1Science and Technology on Surface Physics and Chemistry Laboratory, Mianyang, Sichuan 621908, China.

Science advances
|May 23, 2024
PubMed
概括

眼镜中的弦状运动 (SLM) 遵循特定的路径. 一个图形神经网络使用静态结构预测这些路径,揭示了路径"软度"作为玻璃动态的关键因素.

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