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用于预测MR-TADF激发态性质的TDDFT和基于TDDFT的STEOM-DLPNO-CCSD计算的比较研究

Comparative study of TDDFT and TDDFT-based STEOM-DLPNO-CCSD calculations for predicting the excited-state properties of MR-TADF.

作者信息

Kang Sunwoo, Kim Taekyung

机构信息

Department of Chemistry, Dankook University, Cheonan, Chungnam, 31116, South Korea.

Department of Materials Science and Engineering, Hongik University, Sejongsi, 30016, South Korea.

出版信息

Heliyon. 2024 May 11;10(10):e30926. doi: 10.1016/j.heliyon.2024.e30926. eCollection 2024 May 30.

DOI:10.1016/j.heliyon.2024.e30926
PMID:38779014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11109791/
Abstract

The time dependent density functional theory (TDDFT) and TDDFT/similarity transformed EOM domain-based local pair natural orbital CCSD (STEOM-DLPNO-CCSD) calculations were explored to estimate their validity in predicting the excited-state properties of multi-resonant thermally activated delayed fluorescence (MR-TADF) materials. Obviously, it was demonstrated that TDDFT calculation is inadequate to provide the quantitative prediction of the lowest singlet excited-state (S), the lowest triplet excited-state (T), and ΔE. On the other hand, TDDFT/STEOM-DNLPNO-CCSD calculation reveals the superior prediction of S, T, and ΔE that are in quantitative agreement with experiments. More importantly, it was found that TD-LC-HPBE/STEOM-DLPNO-CCSD calculation provides the most accurate prediction of S, T, and ΔE. Accordingly, we suggest that TD-LC-HPBE/STEOM-DLPNO-CCSD calculation should be utilized to compute the excited-states properties of MR-TADF materials accurately.

摘要

探索了含时密度泛函理论(TDDFT)以及TDDFT/相似变换的基于能域的局域对自然轨道耦合簇单双激发(STEOM-DLPNO-CCSD)计算,以评估它们在预测多共振热激活延迟荧光(MR-TADF)材料激发态性质方面的有效性。显然,结果表明TDDFT计算不足以对最低单重激发态(S)、最低三重激发态(T)以及ΔE进行定量预测。另一方面,TDDFT/STEOM-DNLPNO-CCSD计算显示出对S、T和ΔE的卓越预测,与实验结果在定量上相符。更重要的是,发现TD-LC-HPBE/STEOM-DLPNO-CCSD计算对S、T和ΔE提供了最准确的预测。因此,我们建议应采用TD-LC-HPBE/STEOM-DLPNO-CCSD计算来准确计算MR-TADF材料的激发态性质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/0775c31bae17/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/6db7ab20c737/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/bdaad738727c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/f5a2c9545502/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/a1b464c59b13/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/0775c31bae17/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/6db7ab20c737/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/bdaad738727c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/f5a2c9545502/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/a1b464c59b13/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c1/11109791/0775c31bae17/gr5.jpg

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