Department of Chemistry, Nankai University, Tianjin, P. R. China 300071.
J Phys Chem A. 2013 Jan 10;117(1):169-73. doi: 10.1021/jp3079106. Epub 2012 Dec 31.
Using quantum chemical approximations to understand and predict complex transition metal chemistry, such as catalytic processes and materials properties, is an important activity in modern computational chemistry. High-level theory can sometimes provide high-precision benchmarks for systems containing transition metals, and these benchmarks can be used to understand the reliability of less expensive quantum chemical approximations that are applicable to complex systems. Here, we studied the ionization potential energy of Fe and FeC and the bond dissociation energies of FeC and FeC(+) by 15 density functional approximations: M05, M06, M06-L, ωB97, ωB97X, ωB97X-D, τ-HCTHhyb, BLYP, B3LYP, M08-HX, M08-SO, SOGGA11, SOGGA11-X, M11, and M11-L. All of the functionals predict the correct spin state as the ground state of neutral iron atom, but five of them predict the wrong spin state for Fe(+). In the final analysis, four functionals, namely M11-L, τ-HCTHhyb, SOGGA11, and M06-L, have small mean unsigned errors when averaged over two bond dissociation energies and two ionization potentials. In fact, the results show that M11-L gives the smallest averaged mean unsigned error, i.e., M11-L is the most reliable density functional for these iron carbide systems among those studied.
使用量子化学近似来理解和预测复杂的过渡金属化学,例如催化过程和材料性质,是现代计算化学中的一项重要活动。高级理论有时可以为含有过渡金属的系统提供高精度基准,并且这些基准可用于理解适用于复杂系统的成本较低的量子化学近似的可靠性。在这里,我们通过 15 种密度泛函近似方法研究了 Fe 和 FeC 的电离势能以及 FeC 和 FeC(+)的键离解能:M05、M06、M06-L、ωB97、ωB97X、ωB97X-D、τ-HCTHhyb、BLYP、B3LYP、M08-HX、M08-SO、SOGGA11、SOGGA11-X、M11 和 M11-L。所有这些泛函都预测了中性铁原子的基态为正确的自旋态,但其中有 5 种泛函预测 Fe(+)的自旋态错误。最后分析表明,在平均两个键离解能和两个电离势能时,有四个泛函,即 M11-L、τ-HCTHhyb、SOGGA11 和 M06-L,其平均未加权误差较小。实际上,结果表明,M11-L 给出了最小的平均未加权误差,即 M11-L 是研究过的这些碳化铁系统中最可靠的密度泛函。