4.4 Article

Pseudospectral implementations of long-range corrected density functional theory

期刊

JOURNAL OF COMPUTATIONAL CHEMISTRY
卷 42, 期 29, 页码 2089-2102

出版社

WILEY
DOI: 10.1002/jcc.26739

关键词

barrier height; charge-transfer excitation energy; charge transfer number; electron coupling; excitation energy; interaction energy; nonlinear optical property; pseudospectral; PS-LRC; TDA; TDDFT

向作者/读者索取更多资源

The study successfully implemented pseudospectral density-functional theory (DFT) with long-range corrected DFT functionals in the Jaguar software, demonstrating good accuracy and efficiency in various calculations. Timing benchmarks showed significant speedups in calculations for fullerene S-1 excitation energies compared to the conventional spectral (CS) method.
We have implemented pseudospectral density-functional theory (DFT) with long-range corrected DFT functionals (PS-LRC) in quantum mechanics package Jaguar, and applied it in the calculations of geometry optimizations, dimmer interaction energies, polarizabilities and first-order hyperpolarizabilities, harmonic vibrational frequencies, S-1 and T-1 excitation energies, singlet-triplet gaps, charge transfer numbers, oscillator strengths, reaction barrier heights, electron-transfer couplings, and charge-transfer excitation energies. From our accuracy benchmark analysis, PS grids, PS dealiasing functions, PS atomic corrections, PS multigrid strategy, PS length scales, and PS cutoff scheme perform well in PS DFT with LRC density functionals with very small and ignorable deviations when compared to the conventional spectral (CS) method. The timing benchmark study of S-1 excitation energy calculations of fullerenes (C-n, n up to 540) demonstrates that PS-LRC achieves 1.4-8.4-fold speedups in SCF, 22-32-fold speedups in Tamm-Dancoff approximation, and 6-15-fold speedups in total wall clock time with an average error 0.004 eV of excitation energies compared to the CS method.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据