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通过将含时密度泛函理论(TDDFT)与实验光谱进行系统比较,对有机分子的几个第一激发态性质进行校准。

Calibration of several first excited state properties for organic molecules through systematic comparison of TDDFT with experimental spectra.

作者信息

Wu Xia, Xie Xiaoyu, Troisi Alessandro

机构信息

Department of Chemistry, University of Liverpool Liverpool L69 3BX UK

Qingdao Institute for Theoretical and Computational Sciences, School of Chemistry and Chemical Engineering, Shandong University Qingdao Shandong 266237 China

出版信息

J Mater Chem C Mater. 2024 Oct 14;12(46):18886-18892. doi: 10.1039/d4tc03511a. eCollection 2024 Nov 28.

DOI:10.1039/d4tc03511a
PMID:39444434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11492815/
Abstract

Time-dependent density functional theory (TDDFT) is a powerful computational tool for investigating excitation properties in organic electronics, and it holds significant potential for high-throughput virtual screening (HTVS) in this field. While most benchmarks focus on excitation energies, less attention has been paid to evaluating the accuracy of computed oscillator strengths and exciton reorganization energies against experimental data. In this work, we provide a systematic approach to evaluate in parallel the accuracy of these three quantities on the basis of a suitable fitting of the experimental absorption spectra of 71 molecules in solution. After considering 18 computational methodologies, the results from the M06-2X/def2-TZVP/PCM method demonstrate the strongest correlation with experimental data across the desired properties. For HTVS, the M06-2X/6-31G(d)/PCM method appears to be a particularly convenient choice among all methodologies due to its balance of computational efficiency and accuracy. Our results provide an additional benchmark needed before employing TDDFT methods for the discovery and design of organic electronic molecules.

摘要

含时密度泛函理论(TDDFT)是研究有机电子学中激发特性的强大计算工具,在该领域的高通量虚拟筛选(HTVS)中具有巨大潜力。虽然大多数基准测试聚焦于激发能,但针对计算得到的振子强度和激子重组能与实验数据的准确性评估关注较少。在这项工作中,我们基于对71种分子在溶液中的实验吸收光谱进行适当拟合,提供了一种系统方法来并行评估这三个量的准确性。在考虑了18种计算方法后,M06 - 2X/def2 - TZVP/PCM方法的结果在所需性质方面与实验数据显示出最强的相关性。对于高通量虚拟筛选,M06 - 2X/6 - 31G(d)/PCM方法在所有方法中似乎是一个特别方便的选择,因为它在计算效率和准确性之间取得了平衡。我们的结果为在采用TDDFT方法进行有机电子分子的发现和设计之前提供了额外的基准测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/edb65cab6ead/d4tc03511a-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/404c1b357100/d4tc03511a-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/aa1d5778bb04/d4tc03511a-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/55c19e0b7633/d4tc03511a-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/edb65cab6ead/d4tc03511a-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/404c1b357100/d4tc03511a-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/aa1d5778bb04/d4tc03511a-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/55c19e0b7633/d4tc03511a-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf68/11492815/edb65cab6ead/d4tc03511a-f4.jpg

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