Suppr超能文献

对氮和一氧化碳在苯和石墨烯上物理吸附的密度泛函近似评估。

Assessment of density functional approximations for N and CO physisorption on benzene and graphene.

作者信息

Rayón Víctor M, Cabria Iván

机构信息

Departamento de Química Física y Química Inorgánica, Facultad de Ciencias, Universidad de Valladolid, Valladolid, Spain.

Departamento de Física Teórica, Atómica y Óptica, Facultad de Ciencias, Universidad de Valladolid, Valladolid, Spain.

出版信息

J Comput Chem. 2022 Aug 5;43(21):1403-1419. doi: 10.1002/jcc.26945. Epub 2022 Jun 6.

Abstract

Experimental isotherms of N and CO on carbon-based porous materials and models of the physisorption of gases on surfaces are used to obtain the pore size distribution (PSD). An accurate modelization of the physisorption of N and CO on the surface of carbon-based porous materials is important to obtain accurate N and CO storage capacities and reliable PSDs. Physisorption depends on the dispersion interactions. High precision ab initio methods, such as CCSD(T), consider accurately the dispersion interactions, but they are computationally expensive. Double hybrid, hybrid and DFT-based methods are much less expensive. In the case of graphene, there are experimental data of the adsorption of N and CO on graphite that can be used to build the Steele interaction potential of these gases on graphene. The goal is to find out hybrid and/or DFT methods that are as accurate as the CCSD(T) on benzene and as accurate as the experimental results on graphene. Calculations of the interaction energy curves of N and CO on benzene and graphene have been carried out using the CCSD(T) method and several double hybrid, hybrid, and DFT methods that consider the dispersion interactions. The energy curves on benzene have been compared to the CCSD(T) and the energy curves on graphene have been compared with the Steele energy curves. The comparisons indicate that double hybrids with dispersion corrections and ωB97 based DFT methods are accurate enough for benzene. For graphene, only the PBE-XDM functional has a good agreement with the Steele energy curves.

摘要

基于碳的多孔材料上N和CO的实验等温线以及气体在表面的物理吸附模型被用于获得孔径分布(PSD)。准确模拟N和CO在基于碳的多孔材料表面的物理吸附对于获得准确的N和CO储存容量以及可靠的PSD至关重要。物理吸附取决于色散相互作用。高精度的从头算方法,如CCSD(T),能准确考虑色散相互作用,但计算成本很高。双杂化、杂化和基于DFT的方法成本则低得多。对于石墨烯,有N和CO在石墨上吸附的实验数据,可用于构建这些气体在石墨烯上的Steele相互作用势。目标是找到在苯上与CCSD(T)一样准确且在石墨烯上与实验结果一样准确的杂化和/或DFT方法。使用CCSD(T)方法以及几种考虑色散相互作用的双杂化、杂化和DFT方法对N和CO在苯和石墨烯上的相互作用能曲线进行了计算。苯上的能量曲线与CCSD(T)进行了比较,石墨烯上的能量曲线与Steele能量曲线进行了比较。比较结果表明,具有色散校正的双杂化方法和基于ωB97的DFT方法对苯来说足够准确。对于石墨烯,只有PBE-XDM泛函与Steele能量曲线有良好的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dad/9328377/36b23008387c/JCC-43-1403-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验