随机相位逼近的数值原子轨道和对偶互易空间网格的周期性实现。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Edoardo Spadetto*, , , Pier Herman Theodoor Philipsen*, , , Arno Förster*, , and , Lucas Visscher*, 
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引用次数: 0

摘要

随机相近似(RPA)已成为材料科学中一个重要的第一性原理方法,特别是研究表面小分子的吸附和化学吸附。然而,其较高的计算成本阻碍了其广泛应用。在这里,我们提出了一个具有局域原子轨道和对原子密度拟合的RPA的并行化实现,它特别适合于研究二维系统。通过双k网格格式,我们实现了RPA相关能快速可靠地收敛到热力学极限。我们通过使用PBE输入轨道(RPA@PBE)在MgO(001)上吸附CO的应用证明了我们实现的有效性。我们计算的吸附能与先前发表的RPA@PBE研究非常一致,但是,正如预期的那样,高估了实验可用的吸附能以及最近的CCSD(T)结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Periodic Implementation of the Random Phase Approximation with Numerical Atomic Orbitals and Dual Reciprocal Space Grids

Periodic Implementation of the Random Phase Approximation with Numerical Atomic Orbitals and Dual Reciprocal Space Grids

The random phase approximation (RPA) has emerged as a prominent first-principles method in material science, particularly to study the adsorption and chemisorption of small molecules on surfaces. However, its widespread application is hampered by its relatively high computational cost. Here, we present a well-parallelised implementation of the RPA with localized atomic orbitals and pair-atomic density fitting, which is especially suitable for studying two-dimensional systems. Through a dual k-grid scheme, we achieve fast and reliable convergence of RPA correlation energies to the thermodynamic limit. We demonstrate the efficacy of our implementation through an application to the adsorption of CO on MgO(001) using PBE input orbitals (RPA@PBE). Our calculated adsorption energy is in excellent agreement with previously published RPA@PBE studies, but, as expected, overestimates the experimentally available adsorption energies as well as recent CCSD(T) results.

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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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