K-Means :.

Jielan Li1, Liu Yang1, Lingyun Wan1

  • 1Key Laboratory of Precision and Intelligent Chemistry, Department of Chemical Physics and Anhui Center for Applied Mathematics, University of Science and Technology of China, Hefei, Anhui 230026, China.

概括

一个新的机器学习K-means算法加速了密度函数扰动理论 (DFPT) 的计算. 这种方法提高了融合,并降低了格子动力学模拟的计算成本.

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