Suppr超能文献

用于周期系统的D4伦敦色散模型的扩展与评估

Extension and evaluation of the D4 London-dispersion model for periodic systems.

作者信息

Caldeweyher Eike, Mewes Jan-Michael, Ehlert Sebastian, Grimme Stefan

机构信息

Mulliken Center for Theoretical Chemistry, Bonn, Germany.

出版信息

Phys Chem Chem Phys. 2020 Apr 29;22(16):8499-8512. doi: 10.1039/d0cp00502a.

Abstract

We present an extension of the DFT-D4 model [J. Chem. Phys., 2019, 150, 154122] for periodic systems. The main new ingredients are additional reference polarizabilities for highly-coordinated group 1-5 elements derived from pseudo-periodic electrostatically-embedded cluster calculations. To illustrate the performance of the updated method, several test cases are considered, for which we compare D4 to its predecessor D3(BJ), as well as to a comprehensive set of other dispersion-corrected methods. The largest improvements are observed for solid-state polarizabilities of 16 inorganic salts, where the D4 model achieves an unprecedented accuracy, surpassing its predecessor as well as other, computationally much more demanding approaches. For cell volumes and lattice energies of two sets of chemically diverse molecular crystals, the accuracy gain is less pronounced compared to the already excellently performing D3(BJ) method. For the challenging adsorption energies of small organic molecules on metallic as well as on ionic surfaces, DFT-D4 provides values in good agreement with experimental and/or high-level references. These results suggest the application of the proposed D4 model as a physically improved yet computationally efficient dispersion correction for standard DFT calculations as well as low-cost approaches like semi-empirical or even force-field models.

摘要

我们提出了用于周期性体系的DFT-D4模型[《化学物理杂志》,2019年,第150卷,第154122页]的扩展。主要的新要素是通过伪周期性静电嵌入簇计算得出的、针对高配位1-5族元素的额外参考极化率。为了说明更新方法的性能,我们考虑了几个测试案例,将D4与其前身D3(BJ)以及一组全面的其他色散校正方法进行了比较。对于16种无机盐的固态极化率,观察到了最大的改进,其中D4模型达到了前所未有的精度,超过了其前身以及其他计算量更大的方法。对于两组化学性质不同的分子晶体的晶胞体积和晶格能,与已经表现出色的D3(BJ)方法相比,精度提升不太明显。对于小有机分子在金属和离子表面上具有挑战性的吸附能,DFT-D4给出的值与实验和/或高水平参考值吻合良好。这些结果表明,所提出的D4模型可作为一种物理上改进且计算高效的色散校正方法,用于标准DFT计算以及半经验甚至力场模型等低成本方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验