Assessment of the applicability of DFT methods to [Cp*Rh]-catalyzed hydrogen evolution processes

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Aleksandr A. Chamkin, Elena S. Chamkina
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引用次数: 0

Abstract

The present computational study provides a benchmark of density functional theory (DFT) methods in describing hydrogen evolution processes catalyzed by [Cp*Rh]-containing organometallic complexes. A test set was composed of 26 elementary reactions featuring chemical transformations and bonding situations essential for the field, including the emerging concept of non-innocent Cp* behavior. Reference values were obtained from a highly accurate 3/4 complete basis set and 6/7 complete PNO space extrapolated DLPNO-CCSD(T) energies. The performance of lower-level extrapolation procedures was also assessed. We considered 84 density functionals (DF) (including 13 generalized gradient approximations (GGA), nine meta-GGAs, 33 hybrids, and 29 double-hybrids) and three composite methods (HF-3c, PBEh-3c, and r2SCAN-3c), combined with different types of dispersion corrections (D3(0), D3BJ, D4, and VV10). The most accurate approach is the PBE0-DH-D3BJ (MAD of 1.36 kcal mol−1) followed by TPSS0-D3BJ (MAD of 1.60 kcal mol−1). Low-cost r2SCAN-3c composite provides a less accurate but much faster alternative (MAD of 2.39 kcal mol−1). The widely used Minnesota-family M06-L, M06, and M06-2X DFs should be avoided (MADs of 3.70, 3.94, and 4.01 kcal mol−1, respectively).

Abstract Image

Abstract Image

评估 DFT 方法在 [Cp*Rh] 催化的氢进化过程中的适用性
本计算研究提供了密度泛函理论(DFT)方法在描述含[Cp*Rh]的有机金属复合物催化的氢演化过程方面的基准。测试集由 26 个基本反应组成,这些反应具有本领域所必需的化学变化和成键情况,包括新出现的非无辜 Cp* 行为概念。参考值是从高精度的 3/4 完整基集和 6/7 完整 PNO 空间外推 DLPNO-CCSD(T)能量中获得的。我们还评估了低级外推程序的性能。我们考虑了 84 种密度函数 (DF)(包括 13 种广义梯度近似 (GGA)、9 种元 GGA、33 种混合和 29 种双混合)和三种复合方法(HF-3c、PBEh-3c 和 r2SCAN-3c),并结合了不同类型的色散修正(D3(0)、D3BJ、D4 和 VV10)。最精确的方法是 PBE0-DH-D3BJ(MAD 为 1.36 kcal mol-1),其次是 TPSS0-D3BJ(MAD 为 1.60 kcal mol-1)。低成本的 r2SCAN-3c 复合材料提供了一种精度较低但速度更快的替代方案(MAD 为 2.39 kcal mol-1)。应避免使用广泛使用的 Minnesota-family M06-L、M06 和 M06-2X DF(MAD 分别为 3.70、3.94 和 4.01 kcal mol-1)。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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