期刊
CHEMPHYSCHEM
卷 12, 期 17, 页码 3320-3330出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/cphc.201100483
关键词
ab initio calculations; biomass; C?C activation; density functional calculations; lignin
资金
- National Science Foundation [CHE-0342824, CHE-0741936, CHE-0809762]
- University of North Texas Academic Computing Services for the use of the UNT Research Clusters
- Direct For Mathematical & Physical Scien
- Division Of Chemistry [0809762] Funding Source: National Science Foundation
A multi-level multi-layer QM/QM method, the relativistic pseudopotential correlation-consistent composite approach within an ONIOM framework (rp-ccCA-ONIOM), was applied to study the oxidative addition of the CaC beta bond in an archetypal arylglycerol beta-aryl ether (beta-O-4 linkage) substructure of lignin to Ni, Cu, Pd and Pt transition metal atoms. The chemically active high-level layer is treated using the relativistic pseudopotential correlation-consistent composite approach (rp-ccCA), an efficient methodology designed to reproduce an accuracy that would be obtained using the more computationally demanding CCSD(T)/aug-cc-pCV8Z-PP, albeit at a significantly reduced computational cost, while the low-level layer is computed using B3LYP/cc-pVTZ. The thermodynamic and kinetic feasibilities of the model reactions are reported in terms of enthalpies of reactions at 298 K (H degrees 298) and activation energies (H-act). The results obtained from the rp-ccCA:B3LYP hybrid method are compared to the corresponding values using CCSD(T) and several density functionals including B3LYP, M06, M06 L, B2PLYP, mPWPLYP and B2GP-PLYP. The energetics of the oxidative addition of C?C bond in ethane to Ni, Cu, Pd and Pt atoms are also reported to demonstrate that the rp-ccCA method effectively reproduces the accuracy of the CCSD(T)/aug-cc-pCV8Z method. Our results show that in the catalytic activation of the CaC beta bond of beta-O-4, the use of platinum metal catalysts will lead to the most thermodynamically favored reaction with the lowest activation barrier.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据