Benchmark Study of Core-Ionization Energies with the Generalized Active Space-Driven Similarity Renormalization Group

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Meng Huang,  and , Francesco A. Evangelista*, 
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引用次数: 0

Abstract

X-ray photoelectron spectroscopy (XPS) is a powerful experimental technique for probing the electronic structure of molecules and materials; however, interpreting XPS data requires accurate computational methods to model core-ionized states. This work proposes and benchmarks a new approach based on the generalized active space-driven similarity renormalization group (GAS-DSRG) for calculating core-ionization energies and treating correlation effects at the perturbative and nonperturbative levels. We tested the GAS-DSRG across three data sets. First, the vertical core-ionization energies of small molecules containing first-row elements are evaluated. GAS-DSRG achieves mean absolute errors below 0.3 eV, which is comparable to high-level coupled cluster methods. Next, the accuracy of GAS-DSRG is evaluated for larger organic molecules using the CORE65 data set, with the DSRG-MRPT3 level yielding a mean absolute error of only 0.34 eV for 65 core-ionization transitions. Insights are provided into the treatment of static and dynamic correlation, the importance of high-order perturbation theory, and notable differences from density functional theory in the predicted energy ordering of core-ionized states for specific molecules. Finally, vibrationally resolved XPS spectra of diatomic molecules (CO, N2, and O2) are simulated, showing excellent agreement with experimental data.

使用广义活动空间驱动相似性重正化群的核电离能基准研究
X 射线光电子能谱(XPS)是探测分子和材料电子结构的强大实验技术;然而,解读 XPS 数据需要精确的计算方法来模拟核电离状态。本研究提出了一种基于广义有源空间驱动相似性重正化群(GAS-DSRG)的新方法,用于计算核电离能,并在微扰和非微扰水平上处理相关效应,并对其进行了基准测试。我们在三个数据集上对 GAS-DSRG 进行了测试。首先,我们评估了含有第一排元素的小分子的垂直核电离能。GAS-DSRG 的平均绝对误差低于 0.3 eV,与高级耦合簇方法相当。接下来,利用 CORE65 数据集评估了 GAS-DSRG 对较大有机分子的准确性,DSRG-MRPT3 水平对 65 个核电离跃迁的平均绝对误差仅为 0.34 eV。研究还深入探讨了静态和动态相关性的处理方法、高阶扰动理论的重要性以及特定分子的核电离态能量排序预测与密度泛函理论的显著差异。最后,模拟了双原子分子(CO、N2 和 O2)的振动分辨 XPS 光谱,结果显示与实验数据非常吻合。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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