Computational Materials Science2022,Vol.2017.DOI:10.1016/j.commatsci.2021.110861

Defect-mediated crystal growth from deeply undercooled melts

Yan, Zhenzhen Xu, Bin Li, Jinfu Kong, Lingti
Computational Materials Science2022,Vol.2017.DOI:10.1016/j.commatsci.2021.110861

Defect-mediated crystal growth from deeply undercooled melts

Yan, Zhenzhen 1Xu, Bin 2Li, Jinfu 1Kong, Lingti1
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作者信息

  • 1. Shanghai Jiao Tong Univ
  • 2. Johns Hopkins Univ
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Abstract

In this work, a strong correlation between the density of defected atom pairs at the crystal-liquid interface and the activation energy for crystal growth from deeply undercooled melts is established. Using molecular dynamics simulations we study the intermediate interstitial pairs at the crystal-melt interfaces of both BCC and FCC pure metals. It is found that the pairs have preferred orientations, and two important types of interstitial pairs at the interfaces are identified according to their orientations. We demonstrate that the relative amount of these two kinds of interstitial pairs varies greatly for different systems and dominates the activation energy for crystal growth. The dependence of local structure and energy on the orientation of the interfacial interstitial pairs are revealed and the connections of these features with crystal growth kinetics are disclosed.

Key words

Growth kinetics/Solid/liquid interface/Crystal growth/Molecular dynamics simulations/Metals/SOLID-LIQUID INTERFACES/MOLECULAR-DYNAMICS/CU/SYSTEM/RATES/NI/AL

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量1
参考文献量35
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