Dipartimento di Chimica IFM and NIS Centre of Excellence, Università di Torino, Torino, Italy.
J Phys Chem A. 2011 Oct 20;115(41):11179-86. doi: 10.1021/jp203132k. Epub 2011 Sep 6.
A comparative analysis of the intermolecular energy for a data set including 60 molecular crystals with a large variety of functional groups has been carried out using three different computational approaches: (i) a method based on a physically meaningful empirical partition of the interaction energy (PIXEL), (ii) density functional methods with a posteriori empirical correction for the dispersion interactions (DFT-D), and (iii) a full periodic ab initio quantum mechanical method based on Møller-Plesset perturbation theory for the electron correlation using localized crystal orbitals (LMP2). Due to the large computational cost, LMP2 calculations have been restricted to a subset of seven molecular crystal comprising benzene, formic acid, formamide, succinic anhydride, urea, oxalic acid, and nitroguanidine, and the results compared with PIXEL and DFT-D data as well as with the experimental data show excellent agreement among all adopted methods. This shows that both DFT-D and PIXEL approaches are robust predictive tools for studying molecular crystals. A detailed analysis shows a very similar dispersion contribution of the two methods across the 60 considered molecular crystals. The study also confirms that pure DFT shows serious deficiencies in properly handling molecular crystals in which the dispersive contribution is large. Due to the negligible requested computational resources, PIXEL is the method of choice in screening of a large number of molecular crystals, an essential step to predict crystal polymorphism or to study crystal growth processes. DFT-D can then be used to refine the ranking emerged from PIXEL calculations due to its general applicability and robustness in properly handling short-range interactions.
已经使用三种不同的计算方法(i)基于相互作用能的物理意义上的经验分割的方法(PIXEL),(ii)具有对色散相互作用的后验经验修正的密度泛函方法(DFT-D),以及(iii)基于局部晶体轨道的 Møller-Plesset 电子相关的全周期性 ab initio 量子力学方法(LMP2),对包括 60 个具有多种官能团的分子晶体的数据集进行了分子间能量的比较分析。由于计算成本高,LMP2 计算仅限于由苯、甲酸、甲酰胺、琥珀酸酐、尿素、草酸和硝基胍组成的七个分子晶体子集,并将结果与 PIXEL 和 DFT-D 数据以及实验数据进行比较,所有采用的方法之间都非常吻合。这表明 DFT-D 和 PIXEL 方法都是研究分子晶体的稳健预测工具。详细分析表明,两种方法在考虑的 60 个分子晶体中具有非常相似的色散贡献。该研究还证实,纯 DFT 在适当处理色散贡献较大的分子晶体时存在严重缺陷。由于所需的计算资源可忽略不计,PIXEL 是筛选大量分子晶体的首选方法,这是预测晶体多晶型或研究晶体生长过程的重要步骤。然后,DFT-D 可以用于由于其在适当处理短程相互作用方面的通用性和稳健性,来细化 PIXEL 计算得出的排名。