Habasaki J, Ngai K L
Tokyo Institute of Technology, Nagatsuta 4259, Yokohama 226-8502, Japan.
J Chem Phys. 2008 Jul 21;129(3):034503. doi: 10.1063/1.2951463.
We have performed the molecular dynamics simulations of ionically conducting lithium metasilicate, Li(2)SiO(3), to get a more in depth understanding of the heterogeneous ion dynamics by separating out the partial contributions from localized and diffusive ions to the mean square displacement (MSD) <r(2)(t)>, the non-Gaussian parameter alpha(2)(t), and the van Hove function G(s)(r,t). Several different cage sizes l(c) have been used for the definition of localized ions. Behaviors of fast ions are obtained by the subtraction of the localized component from the r(2)(t) of all ions, and accelerated dynamics is found in the resultant subensemble. The fractional power law of MSD is explained by the geometrical correlation between successive jumps. The waiting time distribution of jumps also plays a role in determining <r(2)(t)> but does not affect the exponent of its fractional power law time dependence. Partial non-Gaussian parameters are found to be instructive to learn how long length-scale motions contribute to various quantities. As a function of time, the partial non-Gaussian parameter for the localized ions exhibits a maximum at around t(x2), the onset time of the fractional power law regime of <r(2)(t)>. The position of the maximum is slightly dependent on the choice of l(c). The power law increases in the non-Gaussian parameter before the maximum are attributed to the Levy distribution of length scales of successive (long) jumps. The decreases with time, after the maximum has been reached, are due to large back correlation of motions of different length scales. The dynamics of fast ions with superlinear dependence in their MSD also start at time around the maximum. Also investigated are the changes of the characteristic times demarcating different regimes of <r(2)(t)> on increasing temperatures from the glassy state to the liquid state. Relation between the activation energies for short time and long time regimes of <r(2)(t)> is in accord with interpretation of ion dynamics by the coupling model.
我们对离子导电的偏硅酸锂Li₂SiO₃进行了分子动力学模拟,通过分离局域离子和扩散离子对均方位移(MSD)<r²(t)>、非高斯参数α₂(t)以及范霍夫函数G(s)(r,t)的部分贡献,更深入地了解非均匀离子动力学。已使用几种不同的笼尺寸l(c)来定义局域离子。通过从所有离子的r²(t)中减去局域成分来获得快离子的行为,并且在所得子系综中发现了加速动力学。MSD的分数幂律由连续跳跃之间的几何相关性来解释。跳跃的等待时间分布在确定<r²(t)>时也起作用,但不影响其分数幂律时间依赖性的指数。发现部分非高斯参数有助于了解不同长度尺度的运动对各种量的贡献时长。作为时间的函数,局域离子的部分非高斯参数在t(x2)左右出现最大值,t(x2)是<r²(t)>分数幂律 regime的起始时间。最大值的位置略微依赖于l(c)的选择。最大值之前非高斯参数中幂律的增加归因于连续(长)跳跃长度尺度的列维分布。达到最大值后随时间的减少是由于不同长度尺度运动的大的反向相关性。MSD具有超线性依赖性的快离子的动力学也在最大值左右的时间开始。还研究了从玻璃态到液态升高温度时划分<r²(t)>不同 regime的特征时间的变化。<r²(t)>短时间和长时间 regime的活化能之间的关系与耦合模型对离子动力学的解释一致。