Suppr超能文献

利用密度泛函理论的 Lifshitz 宏观方法计算有机材料的 Hamaker 常数的方法。

Method for the Calculation of the Hamaker Constants of Organic Materials by the Lifshitz Macroscopic Approach with Density Functional Theory.

机构信息

Computational Engineering Applications Unit , RIKEN , 2-1 Hirosawa , Wako , Saitama 351-0198 , Japan.

Center for Materials Research by Information Integration, Research and Services Division of Materials Data and Integrated System , National Institute for Materials Science , Tsukuba 305-0047 , Japan.

出版信息

J Phys Chem A. 2019 Oct 10;123(40):8726-8733. doi: 10.1021/acs.jpca.9b06433. Epub 2019 Oct 1.

Abstract

The Hamaker constants, which are coefficients providing quantitative information on intermolecular forces, were calculated for a number of different materials according to the Lifshitz theory via simple DFT calculations without any experimental measurements being performed. The physical properties (polarizability, dipole moment, molecular volume, and vibrational frequency) of organic molecules were calculated using the B3LYP density functional and the aug-cc-pVDZ basis set. Values for the Hamaker constants were obtained using the approximation of the Lorentz-Lorenz equation and Onsager's equation with these properties. It was found that, in the case of "nonassociative" materials, such as hydrocarbons, ethers, ketones, aldehydes, carboxylic acids, esters, nitriles, and hydrosilanes, and halides, the calculated Hamaker constants were similar in value to their experimentally determined counterparts. Moreover, with this calculation method, it is easy to create the molecular model and the CPU time can be shortened.

摘要

根据 Lifshitz 理论,通过简单的 DFT 计算(无需进行任何实验测量),我们针对许多不同的材料计算了 Hamaker 常数。这些常数是提供分子间力定量信息的系数。利用 B3LYP 密度泛函和 aug-cc-pVDZ 基组,我们计算了有机分子的物理性质(极化率、偶极矩、分子体积和振动频率)。利用这些性质,我们通过 Lorentz-Lorenz 方程和 Onsager 方程的近似值,得到了 Hamaker 常数的值。研究发现,在“非缔合”材料(如烃类、醚类、酮类、醛类、羧酸类、酯类、腈类、氢硅烷类和卤化物)的情况下,计算得到的 Hamaker 常数与实验确定的值非常接近。此外,通过这种计算方法,我们可以轻松地创建分子模型,并且可以缩短 CPU 时间。

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