Two features at the two-dimensional freezing transitions

Ziren Wang; Weikai Qi; Yi Peng; Ahmed M. Alsayed; Yong Chen; Penger Tong; Yilong Han

doi:10.1063/1.3545967

Two features at the two-dimensional freezing transitions

Ziren Wang
, Weikai Qi
, Yi Peng
, Ahmed M. Alsayed
, Yong Chen
, Penger Tong
, Yilong Han

Chemical Engineering and Materials Science

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

We studied the two-dimensional freezing transitions in monolayers of microgel colloidal spheres with short-ranged repulsions in video-microscopy experiments, and monolayers of hard disks, and Yukawa particles in simulations. These systems share two common features at the freezing points: (1) the bimodal distribution profile of the local orientational order parameter; (2) the two-body excess entropy, s 2, reaches -4.50.5k B. Both features are robust and sensitive to the freezing points, so that they can potentially serve as empirical freezing criteria in two dimensions. Compared with the conventional freezing criteria, the first feature has no finite-size ambiguities and can be resolved adequately with much less statistics; and the second feature can be directly measured in macroscopic experiments without the need for microscopic information.

Original language	English (US)
Article number	034506
Journal	Journal of Chemical Physics
Volume	134
Issue number	3
DOIs	https://doi.org/10.1063/1.3545967
State	Published - Jan 21 2011

Bibliographical note

Funding Information:
This work was supported by the GRF (Grant No. 601208) from the Hong Kong SAR and the William Mong Institute of Nano Science and Technology at HKUST (Y.H.), the NSFC (Grant No. 10975063), the Fundamental Research Funds for the Central Universities (Grant No. lzujbky-2009-52) (Y.C.).

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title = "Two features at the two-dimensional freezing transitions",

abstract = "We studied the two-dimensional freezing transitions in monolayers of microgel colloidal spheres with short-ranged repulsions in video-microscopy experiments, and monolayers of hard disks, and Yukawa particles in simulations. These systems share two common features at the freezing points: (1) the bimodal distribution profile of the local orientational order parameter; (2) the two-body excess entropy, s 2, reaches -4.50.5k B. Both features are robust and sensitive to the freezing points, so that they can potentially serve as empirical freezing criteria in two dimensions. Compared with the conventional freezing criteria, the first feature has no finite-size ambiguities and can be resolved adequately with much less statistics; and the second feature can be directly measured in macroscopic experiments without the need for microscopic information.",

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AU - Peng, Yi

AU - Alsayed, Ahmed M.

AU - Chen, Yong

AU - Tong, Penger

AU - Han, Yilong

N1 - Funding Information: This work was supported by the GRF (Grant No. 601208) from the Hong Kong SAR and the William Mong Institute of Nano Science and Technology at HKUST (Y.H.), the NSFC (Grant No. 10975063), the Fundamental Research Funds for the Central Universities (Grant No. lzujbky-2009-52) (Y.C.).

PY - 2011/1/21

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N2 - We studied the two-dimensional freezing transitions in monolayers of microgel colloidal spheres with short-ranged repulsions in video-microscopy experiments, and monolayers of hard disks, and Yukawa particles in simulations. These systems share two common features at the freezing points: (1) the bimodal distribution profile of the local orientational order parameter; (2) the two-body excess entropy, s 2, reaches -4.50.5k B. Both features are robust and sensitive to the freezing points, so that they can potentially serve as empirical freezing criteria in two dimensions. Compared with the conventional freezing criteria, the first feature has no finite-size ambiguities and can be resolved adequately with much less statistics; and the second feature can be directly measured in macroscopic experiments without the need for microscopic information.

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Two features at the two-dimensional freezing transitions

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