Non-monotonic temperature evolution of nonlocal structure-dynamics correlation in CuZr glass-forming liquids
W J Jiang(江文杰) and M Z Li(李茂枝)†
Department of Physics and Beijing Key Laboratory of Opto-electronic Functional Materials & Micro-nano Devices, Renmin University of China, Beijing 100872, China
Abstract The structure-dynamics correlations in a nonlocal manner were investigated in CuZr metallic glass-forming liquids via classical molecular dynamics simulations. A spatial coarse-graining approach was employed to incorporate the nonlocal structural information of given structural order parameters in the structure-dynamics relationship. It is found that the correlation between structure order parameters and dynamics increases with increasing coarse-graining length and has a characteristic length scale. Moreover, the characteristic correlation length exhibits a non-monotonic temperature evolution as temperature approaches glass transition temperature, which is not sensitive to the considered structure order parameters. Our results unveil a striking change in the structure-dynamics correlation, which involves no fitting theoretical interpretation. These findings provide new insight into the structure-dynamics correlation in glass transition.
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 52031016 and 51631003).
Corresponding Authors:
M Z Li
E-mail: maozhili@ruc.edu.cn
Cite this article:
W J Jiang(江文杰) and M Z Li(李茂枝) Non-monotonic temperature evolution of nonlocal structure-dynamics correlation in CuZr glass-forming liquids 2021 Chin. Phys. B 30 076102
[1] Anderson P W 1995 Science267 1615 [2] Debenedetti P G and Stillinger F H 2001 Nature410 259 [3] Berthier L and Biroli G 2011 Rev. Mod. Phys.83 587 [4] Ediger M D 2000 Rev. Phys. Chem.51 99 [5] Kob W, Donati C, Plimpton S J, Poole P H and Glotzer S C 1997 Phys. Rev. Lett.79 2827 [6] Candelier R, Widmer-Cooper A, Kummerfeld J K, Dauchot O, Biroli G, Harrowell P and Reichman D R 2010 Phys. Rev. Lett.105 135702 [7] Dyre J C 2006 Rev. Mod. Phys.78 953 [8] Cheng Y Q and Ma E 2011 Prog. Mater. Sci.56 379 [9] Royall C P and Williams S R 2015 Phys. Rep.560 1 [10] Frank F C 1952 Proc. R. Soc. Lond. A215 43 [11] Steinhardt P J, Nelson D R and Ronchetti M 1983 Phys. Rev. B28 784 [12] Sheng H W, Luo W K, Alamgir F M, Bai J M and Ma E 2006 Nature439 419 [13] Hirata A, Guan P F, Fujita T, Hirotsu Y, Inoue A, Yavari A R, Sakurai T and Chen M W 2011 Nat. Mater.10 28 [14] Leocmach M and Tanaka H 2012 Nat. Commun.3 974 [15] Peng H L, Li M Z, Wang W H, Wang C Z and Ho K M 2010 Appl. Phys. Lett.96 021901 [16] Kawasaki T, Araki T and Tanaka H 2007 Phys. Rev. Lett.99 215701 [17] Li M Z, Wang C Z, Hao SG, Kramer M J and Ho K M 2009 Phys. Rev B80 184201 [18] Hao S G, Wang C Z, Li M Z, Napolitano R E and Ho K M 2011 Phys. Rev. B84 064203 [19] Wu Z W, Li M Z, Wang W H and Liu K X 2013 Phys. Rev. B88 054202 [20] Soklaski R, Nussinov, Markow Z, Kelton K F and Yang L 2013 Phys. Rev. B87 184203 [21] Wu Z W, Li F X, Huo C W, Li M Z, Wang W H and Liu K X 2016 Sci. Rep.6 35967 [22] Li F X and Li M Z 2017 J. Appl. Phys.122 225103 [23] Wu Z W, Kob W, Wang W H and Xu L M 2018 Nat. Commun.9 5334 [24] Desgranges C and Delhommelle 2018 Phys. Rev. Lett.120 115701 [25] Wu Z W and Wang W H 2020 Acta Phys. Sin.69 066101 (in Chinese) [26] Hocky G M, Coslovich D, Ikeda A and Reichman D R 2014 Phys. Rev. Lett.113 157801 [27] Tong H and Tanaka H 2019 Nat. Commun.10 5596 [28] Plimpton S 1995 J. Comput. Phys.117 1 [29] Mendelev M I, Kramer M J, Ott R T, Sordelet D J, Yagodin D and Popel P 2009 Philos. Mag.89 967 [30] Widmer-Cooper A, Harrowell P and Fynewever H 2004 Phys. Rev. Lett.93 135701 [31] Sammut C and Webb G I 2010 Encyclopedia Machine Learning (Boston: Springer) [32] Peng H L, Li M Z and Wang W H 2011 Phys. Rev. Lett.106 135503 [33] Hu Y C, Li F X, Li M Z, Bai H Y and Wang W H 2015 Nat. Commun.6 8310 [34] Li M Z, Peng H L, Hu Y C, Li F X, Zhang H P and Wang W H 2017 Chin. Phys. B26 016104 [35] Kob W, Roldán-Vargas S and Berthier L 2012 Nat. Phys.8 164 [36] Stevenson J D, Schmalian J and Wolynes P G 2006 Nat. Phys.2 268
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