Moberg Daniel R, Sharp Peter J, Paesani Francesco
J Phys Chem B. 2018 Nov 21;122(46):10572-10581. doi: 10.1021/acs.jpcb.8b08380. Epub 2018 Nov 7.
We build on results from our previous investigation into ice I using a combination of classical many-body molecular dynamics (MB-MD) and normal mode (NM) calculations to obtain molecular-level information on the spectroscopic signatures in the OH stretching region for all seven of the known ordered crystalline ice phases. The classical MB-MD spectra are shown to capture the important spectral features by comparing with experimental Raman spectra. This motivates the use of the classical simulations in understanding the spectral features of the various ordered ice phases in molecular terms. This is achieved through NM analysis to first demonstrate that the MB-MD spectra can be well recovered through the transition dipole moments and polarizability tensors calculated from each NM. From the normal mode calculations, measures of the amount of symmetric and antisymmetric stretching are calculated for each ice, as well as an approximation of how localized each mode is. These metrics aid in viewing the ice phases on a continuous spectrum determined by their density. As in ice I, it is found that most of the other ordered ice phases have highly delocalized modes and their spectral features cannot, in general, be described in terms of molecular normal modes. The lone exception is ice VIII, the densest crystalline ice phase. Despite being found only at high pressure, the symmetry index shows a clear separation of symmetric and antisymmetric stretching modes, giving rise to two distinct features.
我们基于之前对冰I的研究结果展开工作,采用经典多体分子动力学(MB-MD)和简正模式(NM)计算相结合的方法,以获取关于所有七种已知有序结晶冰相在OH伸缩区域光谱特征的分子水平信息。通过与实验拉曼光谱进行比较,结果表明经典MB-MD光谱能够捕捉到重要的光谱特征。这促使我们利用经典模拟从分子层面理解各种有序冰相的光谱特征。这是通过NM分析实现的,首先证明可以通过从每个NM计算得到的跃迁偶极矩和极化率张量很好地恢复MB-MD光谱。从简正模式计算中,我们计算了每种冰的对称和反对称伸缩量度,以及每个模式的局域化程度近似值。这些指标有助于在由密度决定的连续光谱上观察冰相。与冰I一样,发现大多数其他有序冰相具有高度离域的模式,其光谱特征通常不能用分子简正模式来描述。唯一的例外是冰VIII,即密度最大的结晶冰相。尽管仅在高压下发现,但对称指数显示出对称和反对称伸缩模式的明显分离,产生了两个不同的特征。