Free surfaces have been known to significantly influence the crystallization of tetrahedral liquids. However, a comprehensive understanding of the influence mechanism is still lacking at present. By employing molecular dynamics simulations, we find that the nucleation probability in nanoscale silicon films and droplets exhibits a ripple-like distribution spatially. This phenomenon is closely related to the structural order wave, which is induced by the density fluctuations arisen from the volume expansion in a confinement environment defined by free surfaces. By the aid of the intrinsic relation between the tetrahedral order and the density, the analytic results based on the density wave equation well account for the nucleation probability distributions in both films and droplets. Our findings reveal the underlying mechanism of the surface-assisted nucleation in tetrahedral liquids and provide an overall description of crystallization in liquid films and droplets.
Skip Nav Destination
Article navigation
21 June 2016
Research Article|
June 21 2016
Density-wave-modulated crystallization in nanoscale silicon films and droplets
Yongjun Lü;
Yongjun Lü
a)
1School of Physics,
Beijing Institute of Technology
, Beijing 100081, People’s Republic of China
2State Key Laboratory of Silicon Materials,
Zhejiang University
, Hangzhou 310027, People’s Republic of China
Search for other works by this author on:
Qingling Bi;
Qingling Bi
1School of Physics,
Beijing Institute of Technology
, Beijing 100081, People’s Republic of China
Search for other works by this author on:
Xinqing Yan
Xinqing Yan
1School of Physics,
Beijing Institute of Technology
, Beijing 100081, People’s Republic of China
Search for other works by this author on:
a)
Author to whom correspondence should be addressed. Electronic mail: yongjunlv@bit.edu.cn
J. Chem. Phys. 144, 234508 (2016)
Article history
Received:
March 25 2016
Accepted:
May 18 2016
Citation
Yongjun Lü, Qingling Bi, Xinqing Yan; Density-wave-modulated crystallization in nanoscale silicon films and droplets. J. Chem. Phys. 21 June 2016; 144 (23): 234508. https://doi.org/10.1063/1.4953038
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.