论文标题
通过基于紧密结合的方法对星际星际固体晶粒进行建模:水簇的GFN-XTB和CCSD(T)结果之间的比较
Modeling interstellar amorphous solid water grains by tight-binding based methods: comparison between GFN-XTB and CCSD(T) results for water clusters
论文作者
论文摘要
人们认为,星际复合物有机分子(ICOM)形成星际培养基(ISM)的路径是通过在无定形固体水(ASW)地幔表面上的化学重组,覆盖了星际晶粒的基于硅酸盐的核心。使用计算化学对这些IComs形成及其与ASW的结合能量的研究很大程度上取决于所使用的ASW模型,因为不同的模型可能表现出具有不同吸附特征的位点。 ASW扩展模型在文献中很少见,因为当使用基于DFT的量子机械方法时,大小需要很大的计算资源。为了解决这个问题,我们建议使用新开发的GFN-XTB半经验量子机械(SQM)方法。这些方法至少要比常规DFT快两个数量级,只需要适度的中央记忆,在本文中,我们旨在基于对严格和资源的饥饿量子机械方法的准确性。我们专注于通过MP2和CCSD(T)研究的38种水结构,以比较三个级别的GFN-XTB参数化(GFN0,GFN0,GFN1,GFN2)方法的能量和结构。在非常廉价的GFN-XTB水平上获得的非常好的结果,用于水簇结构,并充满活力为大型AWS星体兴趣模型建模铺平了道路。
One believed path to Interstellar Complexes Organic Molecules (iCOMs) formation inside the Interstellar Medium (ISM) is through chemical recombination at the surface of amorphous solid water (ASW) mantle covering the silicate-based core of the interstellar grains. The study of these iCOMs formation and their binding energy to the ASW, using computational chemistry, depends strongly on the ASW models used, as different models may exhibit sites with different adsorbing features. ASW extended models are rare in the literature because large sizes require very large computational resources when quantum mechanical methods based on DFT are used. To circumvent this problem, we propose to use the newly developed GFN-xTB Semi-empirical Quantum Mechanical (SQM) methods from the Grimme's group. These methods are, at least, two orders of magnitude faster than conventional DFT, only require modest central memory, and in this paper we aim to benchmark their accuracy against rigorous and resource hungry quantum mechanical methods. We focused on 38 water structures studied by MP2 and CCSD(T) approaches comparing energetic and structures with three levels of GFN-xTB parametrization (GFN0, GFN1, GFN2) methods. The extremely good results obtained at the very cheap GFN-xTB level for both water cluster structures and energetic paved the way towards the modeling of very large AWS models of astrochemical interest.