Isegawa Miho, Fiedler Luke, Leverentz Hannah R, Wang Yingjie, Nachimuthu Santhanamoorthi, Gao Jiali, Truhlar Donald G
Department of Chemistry and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA.
J Chem Theory Comput. 2013 Jan 8;9(1):33-45. doi: 10.1021/ct300509d.
The polarized molecular orbital (PMO) method, a neglect-of-diatomic-differential-overlap (NDDO) semiempirical molecular orbital method previously parameterized for systems composed of O and H, is here extended to carbon. We modified the formalism and optimized all the parameters in the PMO Hamiltonian by using a genetic algorithm and a database containing both electrostatic and energetic properties; the new parameter set is called PMO2. The quality of the resulting predictions is compared to results obtained by previous NDDO semiempirical molecular orbital methods, both including and excluding dispersion terms. We also compare the PMO2 properties to SCC-DFTB calculations. Within the class of semiempirical molecular orbital methods, the PMO2 method is found to be especially accurate for polarizabilities, atomization energies, proton transfer energies, noncovalent complexation energies, and chemical reaction barrier heights and to have good across-the-board accuracy for a range of other properties, including dipole moments, partial atomic charges, and molecular geometries.
极化分子轨道(PMO)方法是一种忽略双原子微分重叠(NDDO)的半经验分子轨道方法,此前已针对由氧和氢组成的系统进行了参数化,在此将其扩展到碳。我们修改了形式主义,并通过使用遗传算法和包含静电和能量性质的数据库对PMO哈密顿量中的所有参数进行了优化;新的参数集称为PMO2。将所得预测结果的质量与之前的NDDO半经验分子轨道方法(包括和不包括色散项)所得结果进行了比较。我们还将PMO2性质与SCC-DFTB计算结果进行了比较。在半经验分子轨道方法类别中,发现PMO2方法在极化率、原子化能、质子转移能、非共价络合能和化学反应势垒高度方面特别准确,并且对于一系列其他性质,包括偶极矩、部分原子电荷和分子几何结构,具有良好的全面准确性。