Prediction of new Ti-N phases using machine learned interatomic potential

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刘年丰:操作的核心是操作对象,但以前的主流模型太关注全局信息。我们的思路是:通过多个二维热力图,把要操作的对象位置自适应地学习出来,让模型意识到什么是最需要响应的操作对象。

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