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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Predicting Ligand-Dissociation Energies of 3d Coordination Complexes with Auxiliary-Field Quantum Monte Carlo
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Predicting Ligand-Dissociation Energies of 3d Coordination Complexes with Auxiliary-Field Quantum Monte Carlo

机译:用辅助场蒙特卡洛预测3D协调复合物的配体 - 解离能

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Transition-metal complexes are ubiquitous in biology and chemical catalysis, yet they remain difficult to accurately describe with ab initio methods because of the presence of a large degree of dynamic electron correlation, and, in some cases, strong static correlation which results from a manifold of low-lying states. Progress has been hindered by a scarcity of high-quality gas-phase experimental data, while exact ab initio predictions are usually computationally unaffordable because of the large size of the relevant complexes. In this work, we present a data set of 34 tetrahedral, square planar, and octahedral 3d metal-containing complexes with gas-phase ligand-dissociation energies that have reported uncertainties of <= 2 kcal/mol. We perform all-electron phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) calculations utilizing multideterminant trial wave functions selected by a black box procedure. We compare the results with those from the density functional theory (DFT) with the B3LYP, B97, M06, PBE0, omega B97X-V, and DSD-PBEP86/2013 functionals and a localized orbital variant of the coupled cluster theory with single, double, and perturbative triple excitations (DLPNO-CCSD(T)). We find mean averaged errors of 1.07 +/- 0.27 kcal/mol for our most sophisticated ph-AFQMC approach versus 2.81 kcal/mol for DLPNO-CCSD(T) and 1.49-3.78 kcal/mol for DFT. We find maximum errors of 2.96 +/- 1.71 kcal/mol for our best ph-AFQMC method versus 9.15 kcal/mol for DLPNO-CCSD(T) and 5.98-13.69 kcal/mol for DFT. The reasonable performance of a number of DFT functionals is in stark contrast to the much poorer accuracy previously demonstrated for diatomic species, suggesting a moderation in electron correlation because of ligand coordination in most cases. However, the unpredictably large errors for a small subset of cases with both DFT and DLPNO-CCSD(T) methods leave cause for concern, especially in light of the unreliability of common multireference indicators. In contrast, the robust and, in principle, systematically improvable results of ph-AFQMC for these realistic complexes establish the method as a useful tool for elucidating the electronic structure of transition-metal-containing complexes and predicting their gas-phase properties.
机译:过渡金属络合物在生物学和化学催化中普遍存在,但由于存在大程度的动态电子相关性,并且在某些情况下,它们仍然难以准确地描述AB Initio方法,并且在某些情况下,由歧管产生的强烈静态相关性低洼状态。通过高质量的气相实验数据稀缺的进展已经受到阻碍,而精确的AB Initio预测通常由于相关复合物的大尺寸,通常计算不计算。在这项工作中,我们介绍了34个四面体,平面平面和八面体3D金属络合物的数据集,所述含有气相配体 - 解离能量具有报告<= 2kcal / mol的不确定性。我们使用黑盒过程选择的多识别试验波函数执行全电子扫描辅助场量子蒙特卡罗(PH-AFQMC)计算。我们将结果与来自密度泛函理论(DFT)的结果与B3LYP,B97,M06,PBE0,OMEGA B97X-V和DSD-PBEP86 / 2013功能和耦合群集理论的局部轨道变体与单一,双倍和扰动三重激发(DLPNO-CCSD(T))。对于我们最复杂的PH-AFQMC方法,找到1.07 +/- 0.27 kcal / mol的平均误差为2.81 kcal / mol for dlpno-ccsd(t)和1.49-3.78 kcal / mol。我们最大的误差为2.96 +/- 1.71 kcal / mol,用于我们最好的pH-afqmc方法,而DLPNO-CCSD(T)和5.98-13.69 kcal / mol的DFT。许多DFT功能的合理性能与前面对硅藻物种的比较较差的准确性进行了鲜明对比,这表明由于在大多数情况下是具有配体协调的电子相关性的温度。然而,对于DFT和DLPNO-CCSD(T)方法的小型案例的不可预测的误差是令人担忧的,特别是鉴于普通多引导指标的不可靠性。相反,鲁棒和原则上,原则上,对这些现实复合物的PH-AFQMC的系统可改善结果建立了方法作为阐明含过渡金属的配合物的电子结构并预测其气相性能的有用工具。

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