无分散非杂化密度泛函。

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-02-11 Epub Date: 2025-01-17 DOI:10.1021/acs.jctc.4c00941
Atta Ur Rehman, Krzysztof Szalewicz
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引用次数: 0

摘要

提出了一种色散校正密度泛函理论(DFT+D)方法。它包括一个非杂交无色散广义梯度近似(GGA)泛函与一个文献参数化色散函数配对。利用589个基准相互作用能的训练集对函数的9个可调参数进行了优化。结果表明,该方法比其他基于ga的DFT+D方法性能更好,平均无符号误差为0.33 kcal/mol。它甚至比一些更昂贵的meta-GGA或混合色散校正功能更好。使用新泛函的一个重要优点是,在所有分子间分离中,由D分量给出的色散能量非常接近真实色散能量,而在其他类似精确的DFT+D方法中,这种在范德华最小区域的色散贡献仅为真实值的一小部分。
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Dispersionless Nonhybrid Density Functional.

A dispersion-corrected density functional theory (DFT+D) method has been developed. It includes a nonhybrid dispersionless generalized gradient approximation (GGA) functional paired with a literature-parametrized dispersion function. The functional's 9 adjustable parameters were optimized using a training set of 589 benchmark interaction energies. The resulting method performs better than other GGA-based DFT+D methods, giving a mean unsigned error of 0.33 kcal/mol. It even performs better than some more expensive meta-GGA or hybrid dispersion-corrected functionals. An important advantage of using the new functional is that its dispersion energy given by the D component is very close to the true dispersion energy at all intermolecular separations, whereas in other similarly accurate DFT+D approaches, such a dispersion contribution in the van der Waals minimum region is only a small fraction of the true value.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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