Zhao Dongbo, Zhao Yilin, He Xin, Li Yunzhi, Ayers Paul W, Liu Shubin
Institute of Biomedical Research, Yunnan University, Kunming 650500, P. R. China.
Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
J Chem Theory Comput. 2023 Sep 26;19(18):6461-6470. doi: 10.1021/acs.jctc.3c00646. Epub 2023 Sep 7.
To accurately and efficiently predict the molecular response properties (such as polarizability) at post-Hartree-Fock levels for condensed-phase systems under periodic boundary conditions (PBC) is still an unaccomplished and ongoing task. We demonstrate that static isotropic polarizabilities can be cost-effectively predicted at post-Hartree-Fock levels by combining the linear-scaling generalized energy-based fragmentation (GEBF) and information-theoretic approach (ITA) quantities. In PBC-GEBF, the total molecular polarizability of an extended system is obtained as a linear combination of the corresponding quantities of a series of small embedded subsystems of several monomers. Here, we show that in the PBC-GEBF-ITA framework, one can obtain the molecular polarizabilities and establish linear relations to ITA quantities. Once these relations are established for smaller subsystems, one can predict the polarizabilities of larger subsystems directly from the molecular wavefunction (or electron density) via ITA quantities. Alternatively, one can determine the total molecular polarizability via a linear combination equation in PBC-GEBF. We have corroborated that this newly proposed PBC-GEBF-ITA protocol is much more efficient than the original PBC-GEBF approach but is not much less accurate and that this conclusion holds for both many-body perturbation theory and the coupled cluster calculations. Good efficiency and transferability of the PBC-GEBF-ITA protocol are demonstrated for periodic systems with several hundred atoms in a unit cell.
在周期性边界条件(PBC)下,准确而高效地预测凝聚相体系在哈特里 - 福克后水平的分子响应性质(如极化率)仍然是一项未完成且仍在进行的任务。我们证明,通过结合线性标度广义能量基片段化(GEBF)和信息论方法(ITA)的量,可以在哈特里 - 福克后水平经济高效地预测静态各向同性极化率。在PBC - GEBF中,扩展体系的总分子极化率是一系列几个单体的小嵌入子体系相应量的线性组合。在此,我们表明在PBC - GEBF - ITA框架下,可以获得分子极化率并建立与ITA量的线性关系。一旦为较小子体系建立了这些关系,就可以通过ITA量直接从分子波函数(或电子密度)预测较大子体系的极化率。或者,可以通过PBC - GEBF中的线性组合方程确定总分子极化率。我们已经证实,新提出的PBC - GEBF - ITA协议比原始的PBC - GEBF方法效率高得多,但准确性并不低很多,并且这一结论在多体微扰理论和耦合簇计算中均成立。对于晶胞中有数百个原子的周期性体系,PBC - GEBF - ITA协议展示了良好的效率和可转移性。