Computational Materials Science2022,Vol.2079.DOI:10.1016/j.commatsci.2022.111316

Spinodal limits of supercooled liquid Al deduced from configuration heredity of crystal clusters

Li, Yuan Liu, Zhibang Peng, Ping Dong, Kejun
Computational Materials Science2022,Vol.2079.DOI:10.1016/j.commatsci.2022.111316

Spinodal limits of supercooled liquid Al deduced from configuration heredity of crystal clusters

Li, Yuan 1Liu, Zhibang 1Peng, Ping 1Dong, Kejun2
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作者信息

  • 1. Hunan Univ
  • 2. Western Sydney Univ
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Abstract

Whether one-component supercooled liquid encounters a spinodal limit at a sufficiently low temperature has been a controversial issue. To explore the homogeneous nucleation limit (HNL) in liquid Al, a series of molecular dynamics simulations have been performed, and a unique technique able to distinguish the critical nucleus from various embryos has been adopted to measure the crystal nucleation time tau(N) of supercooled liquids and evaluate the nucleation energy barrier Delta E-cri* in isothermal crystallization. The estimated kinetic spinodal (i.e., HNL) temperature T-ks and thermodynamic spinodal temperature T-ts are 0.51 Tm and 0.45 Tm, respectively. At the HNL, the nucleation energy barrier Delta E-cri* is discovered to be very small, and a critical slowdown behavior is also observed near T-ks. A careful analysis for the Stokes-Einstein (SE) relation reveals the temperature T-SE of SE relation breakdown is only 0.02 T-m higher than T-ks, and the occurrence of HNL is not affected by whether the SE relation breaks down or not. These results are consistent with previous reports. To some extent, the small gap between T-SE and T-ks can be attributed to a weak glass formation ability of liquid Al.

Key words

Homogeneous nucleation/Spinodal/MD simulation/Configuration heredity/Critical nucleus/MOLECULAR-DYNAMICS/NUCLEATION/SIMULATION

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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45
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