Korchagina Kseniia A, Simon Aude, Rapacioli Mathias, Spiegelman Fernand, Cuny Jérôme
Laboratoire de Chimie et Physique Quantiques (LCPQ), Université de Toulouse III [UPS] and CNRS , 118 Route de Narbonne, F-31062 Toulouse, France.
J Phys Chem A. 2016 Nov 17;120(45):9089-9100. doi: 10.1021/acs.jpca.6b08251. Epub 2016 Nov 3.
A global optimization search of low-energy isomers is carried out to investigate the structural and stability properties of sulfur-containing water clusters, including both (HO)SO and (HO)HSO aggregates. The systematic optimization algorithm involves a combination of parallel-tempering molecular dynamics and periodic gradient-driven quenches with energy and energy-gradient calculations performed using the Self-Consistent-Charge Density-Functional based Tight-Binding (SCC-DFTB) scheme. Comparisons with new MP2 and DFT calculations on the smallest systems and previous ab initio investigations of the literature show that the SCC-DFTB approach provides a fairly accurate description of both neutral and ionic species, comparable to that of DFT. Structural and stability features of larger sulfur-containing clusters, with up to 20 water molecules, are also determined using the SCC-DFTB scheme. The interest of this work is 2-fold: (i) the benchmark on small species demonstrates the ability of SCC-DFTB to describe complex potential energy landscapes involving hydrogen-bonds and proton transfers; (ii) it opens the way to the study of large clusters that can hardly be performed within ab initio approaches.
为了研究含硫水团簇的结构和稳定性特性,包括(HO)SO和(HO)HSO聚集体,我们进行了低能量异构体的全局优化搜索。系统优化算法结合了并行回火分子动力学和周期性梯度驱动淬火,并使用基于自洽电荷密度泛函紧束缚(SCC-DFTB)方案进行能量和能量梯度计算。与针对最小体系的新MP2和DFT计算以及文献中先前的从头算研究进行比较表明,SCC-DFTB方法对中性和离子物种都提供了相当准确的描述,与DFT相当。还使用SCC-DFTB方案确定了含有多达20个水分子的较大含硫团簇的结构和稳定性特征。这项工作的意义有两个方面:(i)对小分子的基准测试证明了SCC-DFTB描述涉及氢键和质子转移的复杂势能面的能力;(ii)它为研究难以用从头算方法进行的大团簇开辟了道路。