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Bin Xing1,2, Timothy J Rupert1,2, Xiaoqing Pan1,2

  • 1Center for Complex and Active Materials, University of California, Irvine, CA, USA.

PubMed
概括

我们开发了一个神经网络动力学 (NNK) 方案来模拟复杂材料中的原子扩散. 这种方法准确地预测了化学排序和结构形成,揭示了NbMoTa合金中最大B2排序的临界温度.

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