Self-adaptive real-time time-dependent density functional theory for x-ray absorptions

被引:6
|
作者
Ye, Linfeng [1 ]
Wang, Hao [1 ]
Zhang, Yong [1 ]
Liu, Wenjian [1 ]
机构
[1] Shandong Univ, Qingdao Inst Theoret & Computat Sci, Inst Frontier & Interdisciplinary Sci, Qingdao 266237, Shandong, Peoples R China
来源
JOURNAL OF CHEMICAL PHYSICS | 2022年 / 157卷 / 07期
基金
中国国家自然科学基金;
关键词
EXCITED-STATES; BASIS-SETS; FILTER-DIAGONALIZATION; PROGRAM PACKAGE; LINEAR-RESPONSE; SPECTRA; APPROXIMATION; COMPLEXES; DYNAMICS; VALENCE;
D O I
10.1063/5.0106250
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Real-time time-dependent density functional theory (RT-TDDFT) can, in principle, access the whole absorption spectrum of a many-electron system exposed to a narrow pulse. However, this requires an accurate and efficient propagator for the numerical integration of the time-dependent Kohn-Sham equation. While a low-order time propagator is already sufficient for the low-lying valence absorption spectra, it is no longer the case for the x-ray absorption spectroscopy (XAS) of systems composed even only of light elements, for which the use of a high-order propagator is indispensable. It is then crucial to choose a largest possible time step and a shortest possible simulation time so as to minimize the computational cost. To this end, we propose here a robust AutoPST approach to determine automatically (Auto) the propagator (P), step (S), and time (T) for relativistic RT-TDDFT simulations of XAS. Published under an exclusive license by AIP Publishing.
引用
收藏
页数:17
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