平面波全构型相互作用计算的改进相关优化虚拟轨道算法。

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Mingyu Qiu, Zhenlin Zhang, Zhiyuan Zhang, Yexuan Lin, Yingzhou Li, Jinlong Yang, Wei Hu
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引用次数: 0

摘要

在处理周期系统时,全构型相互作用(FCI)的计算历来面临着重大挑战。平面波基集因其在各种计算物理和化学模拟中的有效性和广泛适用性而受到重视。由于其固有的周期性,平面波基集为这个问题提供了一个潜在的解决方案。此外,FCI可以解决广泛使用的方法的局限性,例如具有平面波基集的密度泛函理论(DFT),在准确描述强相关系统方面。然而,平面波的大基集特性使其不适合直接应用于FCI计算。为了解决这一挑战,我们提出了一种基于相关优化虚拟轨道(COVOS)框架的改进算法。通过引入旋转矩阵来提高主动空间维数,并通过迭代耦合过程优化轨道,我们成功地将广泛的平面波基集压缩成适合FCI计算的可管理数量的虚拟轨道,同时保留了原始基集的大部分特征。我们将此方法应用于周期性金属体系的超级单体计算和势能曲线。为了进一步验证我们的方法,我们在非周期小分子系统上进行了测试,并将结果与DFT、二阶Møller-Plesset摄动理论(MP2)、随机相位近似(RPA)、基于6-31G或cc-pVDZ基集的FCI计算以及原始COVOS算法的结果进行了比较。改进的COVOS框架在收敛性和相关性描述方面优于原方法。此外,我们在某些金属体系的MP2计算中观察到金属发散问题,并注意到RPA可能高估了这些体系的相关能。这些发现强调了用平面波基集实现FCI计算的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Correlation Optimized Virtual Orbital Algorithm for Plane-Wave Full Configuration Interaction Calculations.

Full configuration interaction (FCI) calculations have historically faced significant challenges in dealing with periodic systems. The plane-wave basis sets are valued for their efficiency and broad applicability in various computational physics and chemistry simulations. Because of their natural periodicity, the plane-wave basis sets offer a potential solution to this problem. Moreover, FCI can address the limitations of widely used methods, such as density functional theory (DFT) with plane-wave basis sets, in accurately describing strongly correlated systems. However, the large basis set nature of the plane-wave makes them unsuitable for direct application in FCI calculations. To address this challenge, we propose an improved algorithm based on the correlation-optimized virtual orbital (COVOS) framework. By incorporating rotational matrices to enhance the active space dimension and optimizing orbitals through iterative coupled processes, we successfully compress the extensive plane-wave basis set into a manageable number of virtual orbitals suitable for FCI calculations while retaining most of the original basis set characteristics. We apply this method to supercell calculations and potential energy curves of periodic metallic systems. To further validate our approach, we test it on nonperiodic small molecular systems and compare the results with those obtained from DFT, second-order Møller-Plesset perturbation theory (MP2), random phase approximation (RPA), FCI calculations using the 6-31G or cc-pVDZ basis sets, and the original COVOS algorithm. The improved COVOS framework demonstrates significant advantages in convergence and correlation description over the original method. Furthermore, we observe metal divergence issues in MP2 calculations for certain metallic systems and note that RPA may overestimate the correlation energy of such systems. These findings underscore the importance of achieving FCI calculations with plane-wave basis sets.

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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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