Suppr超能文献

区域嵌入实现了用于表面科学的高级量子化学。

Regional Embedding Enables High-Level Quantum Chemistry for Surface Science.

作者信息

Lau Bryan T G, Knizia Gerald, Berkelbach Timothy C

机构信息

Center for Computational Quantum Physics, Flatiron Institute, New York, New York 10010, United States.

Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, United States.

出版信息

J Phys Chem Lett. 2021 Jan 28;12(3):1104-1109. doi: 10.1021/acs.jpclett.0c03274. Epub 2021 Jan 21.

Abstract

Compared to common density functionals, ab initio wave function methods can provide greater reliability and accuracy, which could prove useful when modeling adsorbates or defects of otherwise periodic systems. However, the breaking of translational symmetry necessitates large supercells that are often prohibitive for correlated wave function methods. As an alternative, this paper introduces the regional embedding approach, which enables correlated wave function treatments of a target fragment of interest through small, fragment-localized orbital spaces constructed using a simple overlap criterion. Applications to the adsorption of water on lithium hydride, hexagonal boron nitride, and graphene substrates show that regional embedding combined with focal-point corrections can provide converged CCSD(T) (coupled-cluster) adsorption energies with very small fragment sizes.

摘要

与普通密度泛函相比,从头算波函数方法能够提供更高的可靠性和准确性,这在对原本具有周期性的系统中的吸附质或缺陷进行建模时可能会很有用。然而,平移对称性的破坏需要使用大的超胞,这对于相关波函数方法来说通常是难以实现的。作为一种替代方法,本文介绍了区域嵌入方法,该方法通过使用简单的重叠标准构建的小的、片段局部化的轨道空间,能够对感兴趣的目标片段进行相关波函数处理。将其应用于水在氢化锂、六方氮化硼和石墨烯基底上的吸附表明,区域嵌入与焦点校正相结合,能够以非常小的片段尺寸提供收敛的CCSD(T)(耦合簇)吸附能。

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