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一种用于核心电离态和核心激发态的改进虚拟轨道驱动相似重整化群方法。

An Improved Virtual Orbital Driven Similarity Renormalization Group Approach for Core-Ionized and Core-Excited States.

作者信息

Huang Meng, Evangelista Francesco A

机构信息

State Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, China.

Department of Chemistry and Cherry Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States.

出版信息

J Chem Theory Comput. 2025 Jul 22;21(14):6834-6848. doi: 10.1021/acs.jctc.5c00457. Epub 2025 Jul 10.

Abstract

This work combines the multireference driven similarity renormalization group (DSRG) with a reference state obtained using improved virtual orbitals (IVOs) and generalized active space configuration interaction (GASCI) to model core-ionized and core-excited states without costly orbital optimizations. We test the accuracy of the resulting IVO-GASCI-DSRG method combined with three truncation levels across four data sets of molecules containing first-row elements (small molecules, potential energy surfaces, small-to-medium molecules, and X-ray absorption spectra). It is found that the IVO-GASCI-DSRG approach with an active space consisting of three GAS spaces and third-order perturbative corrections (IVO-GASCI[3]-DSRG-MRPT3) strikes the best balance between cost and accuracy. This method exhibits good agreement with the most accurate DSRG truncation scheme based on self-consistent orbitals on small-molecule benchmarks, and it is capable of accurately predicting the potential energy surfaces of core-excited and core-ionized states of CO, N, and HF. To demonstrate the applicability of this method to medium-sized molecules, we simulate the X-ray absorption spectra of thymine and adenine using IVO-GASCI-DSRG-MRPT3, successfully reproducing key experimental spectral features.

摘要

这项工作将多参考驱动相似重整化群(DSRG)与使用改进的虚拟轨道(IVO)和广义活性空间组态相互作用(GASCI)获得的参考态相结合,以在无需进行昂贵的轨道优化的情况下对芯电离态和芯激发态进行建模。我们在包含第一行元素的四个分子数据集(小分子、势能面、中小分子和X射线吸收光谱)上,结合三种截断水平测试了所得IVO-GASCI-DSRG方法的准确性。结果发现,具有由三个GAS空间组成的活性空间和三阶微扰校正的IVO-GASCI-DSRG方法(IVO-GASCI[3]-DSRG-MRPT3)在成本和准确性之间达到了最佳平衡。该方法在小分子基准测试中与基于自洽轨道的最精确DSRG截断方案表现出良好的一致性,并且能够准确预测CO、N和HF的芯激发态和芯电离态的势能面。为了证明该方法对中等大小分子的适用性,我们使用IVO-GASCI-DSRG-MRPT3模拟了胸腺嘧啶和腺嘌呤的X射线吸收光谱,成功重现了关键的实验光谱特征。

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