Dral Pavlo O, Wu Xin, Spörkel Lasse, Koslowski Axel, Thiel Walter
Max-Planck-Institut für Kohlenforschung , Kaiser-Wilhelm-Platz 1, 45470 Mülheim an der Ruhr, Germany.
J Chem Theory Comput. 2016 Mar 8;12(3):1097-120. doi: 10.1021/acs.jctc.5b01047. Epub 2016 Jan 29.
The semiempirical orthogonalization-corrected OMx methods (OM1, OM2, and OM3) go beyond the standard MNDO model by including additional interactions in the electronic structure calculation. When augmented with empirical dispersion corrections, the resulting OMx-Dn approaches offer a fast and robust treatment of noncovalent interactions. Here we evaluate the performance of the OMx and OMx-Dn methods for a variety of ground-state properties using a large and diverse collection of benchmark sets from the literature, with a total of 13035 original and derived reference data. Extensive comparisons are made with the results from established semiempirical methods (MNDO, AM1, PM3, PM6, and PM7) that also use the NDDO (neglect of diatomic differential overlap) integral approximation. Statistical evaluations show that the OMx and OMx-Dn methods outperform the other methods for most of the benchmark sets.
半经验正交化校正的OMx方法(OM1、OM2和OM3)通过在电子结构计算中纳入额外的相互作用,超越了标准的MNDO模型。当用经验色散校正增强时,由此产生的OMx-Dn方法能够快速且稳健地处理非共价相互作用。在这里,我们使用文献中大量多样的基准集,对OMx和OMx-Dn方法在各种基态性质方面的性能进行评估,共有13035个原始和派生的参考数据。与同样使用NDDO(忽略双原子微分重叠)积分近似的已建立半经验方法(MNDO、AM1、PM3、PM6和PM7)的结果进行了广泛比较。统计评估表明,对于大多数基准集,OMx和OMx-Dn方法优于其他方法。