黄金纳米粒子化热力学中的普遍缩放规律:机器学习分子动力学的洞察力

Tianyu Gao1,2,3, Qiyu Zeng2,3,4, Xiaoxiang Yu1,2,3

  • 1College of Science, National University of Defense Technology, Changsha, Hunan 410073, People's Republic of China.

概括

研究人员开发了一种机器学习模型来研究金纳米粒子 (Au NP) 化. 他们创建了一个相位图,显示化的度偏离了批量规则,为纳米级热力学提供了洞察力.

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