4.7 Article

Quantized aging mode in metallic glass-forming liquids

期刊

ACTA MATERIALIA
卷 211, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.actamat.2021.116873

关键词

Aging; Metallic glass; Quantization; Molecular dynamics simulations

资金

  1. National Natural Science Foundation of China [52031016, 52071029]
  2. Tianjin Supercomputer Center

向作者/读者索取更多资源

The study investigates the aging process of supercooled Cu50Zr50 glass-forming liquid, revealing a multi-mode dynamics accompanied by a quantized hierarchy of mobile clusters. An aging model is proposed to describe the aging dynamics as a weighted average over quantized dynamic modes. This model predicts the heterogeneous dynamics in aging and equilibration of supercooled metallic liquids, shedding light on the intrinsic aspects influencing the aging process.
Physical aging exhibits complex off-equilibrium dynamics and its studies are of particular importance for understanding the nature of glassy state. We investigate the aging process of supercooled Cu50Zr50 glass-forming liquid numerically and theoretically. The relaxation time spectra based on molecular dynamics simulations show that the aging dynamics features the superposition of discrete homogeneous dynamic modes. The visiting probabilities of these modes decay toward slower relaxation regime, which is tuned by aging time from the compressed to the stretched exponential manner. Such multi-mode dynamics is found to be accompanied by the quantized hierarchy of mobile clusters with identical size increment. With this finding, we propose an aging model, which describes the aging dynamics as the aging-dependent weighted average over quantized dynamic modes. The two-time correlation functions associated with aging thus are separated into aging-time dependent factor and aging independent relaxation-time term. The model well predicts the heterogeneous dynamics in aging and equilibration of supercooled metallic liquids, and reveals the intrinsic aspects influencing aging process. (C) 2021 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据