Accurate and Cost-Efficient DLPNO-CCSD(T)-Based Feller-Peterson-Dixon Protocols Calibrated on Association Reactions of Li+ Ion With Mixed Organic Carbonates

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Arseniy A. Otlyotov, Andrey D. Moshchenkov, Alexander S. Ryzhako, Luigi Cavallo, Yury Minenkov
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Abstract

We present a benchmark set LIMIXCARB_RE12 comprising 12 reference DLPNO-CCSD(T1)/CPS(6,7)/CBS(cc-pwCVTZ/cc-pwCVQZ)//PBE0-D3(BJ)/def2-TZVP binding energies for the sizeable (up to 69 atoms) clusters of Li+ ion with mixed cyclic and linear organic carbonates. A number of computationally cheaper DLPNO-CCSD(T)-based Feller-Peterson-Dixon protocols including contributions due to core-valence electron correlation, using more accurate iterative triples correction (T1) and tighter-than-default PNO settings are examined with respect to their accuracy and efficiency. Particular splittings of the total binding energy into components allow maintaining high accuracy (deviations less than 0.2 kcal mol−1) at significantly reduced computational cost. Much faster convergence of the DLPNO-CCSD(T) binding energies to the reference values is reached if Ahlrichs' def2 basis sets are used instead of their correlation-consistent Dunning counterparts. Evaluation of the DFT approximations against the LIMIXCARB_RE12 reveals double hybrid PWPB95-D4 in conjunction with CBS(def2-TZVPP/def2-QZVPP) extrapolation to be the best performer with mean signed deviation (MSD) of only −0.1 kcal mol−1 followed by r2SCAN-D4/D3(BJ) and r2SCAN-3c (MSD < 1 kcal mol−1), while hybrid B3LYP and PBE0 functionals complemented with D3(BJ) or D4 dispersion corrections are clearly inferior. The obtained results provide a guide for the accurate calculations of the binding energies of the microsolvated clusters and can be used for the development and validation of the emerging computational methods.

Abstract Image

基于DLPNO - CCSD(T) - Based的Li+离子与混合有机碳酸盐缔合反应校准的Feller - Peterson - Dixon方案准确且具有成本效益
我们提出了一个基准集LIMIXCARB_RE12,包含12个参考DLPNO‐CCSD(T1)/CPS(6,7)/CBS(cc‐pwCVTZ/cc‐pwCVQZ)//PBE0‐D3(BJ)/def2‐TZVP结合能,用于Li+离子与混合环状和线性有机碳酸盐的相当大(多达69个原子)簇。许多计算成本更低的基于DLPNO - CCSD(T)的Feller - Peterson - Dixon方案,包括由于核心价电子相关的贡献,使用更精确的迭代三重校正(T1)和比默认更严格的PNO设置,研究了它们的准确性和效率。将总结合能拆分为多个组分,可以在显著降低计算成本的情况下保持高精度(偏差小于0.2千卡摩尔−1)。如果使用Ahlrichs的def2基集而不是它们的Dunning对应基集,则可以更快地收敛DLPNO - CCSD(T)结合能到参考值。针对LIMIXCARB_RE12的DFT近似评估显示,结合CBS(def2‐TZVPP/def2‐QZVPP)外推的双杂交PWPB95‐D4表现最佳,平均符号偏差(MSD)仅为−0.1 kcal mol−1,其次是r2SCAN‐D4/D3(BJ)和r2SCAN‐3c (MSD < 1 kcal mol−1),而混合B3LYP和PBE0泛函补充D3(BJ)或D4色散校正明显较差。所得结果为微溶剂化团簇结合能的精确计算提供了指导,并可用于新兴计算方法的开发和验证。
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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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