Self-Adaptive Real-Time Time-Dependent Density Functional Theory for X-ray Absorptions
Abstract
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 spectra (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.
Keywords
Cite
@article{arxiv.2202.06064,
title = {Self-Adaptive Real-Time Time-Dependent Density Functional Theory for X-ray Absorptions},
author = {Linfeng Ye and Hao Wang and Yong Zhang and Wenjian Liu},
journal= {arXiv preprint arXiv:2202.06064},
year = {2024}
}
Comments
40 pages, 10 figures, 3 tables