Sebastian Shebual, Riley Vaughan, Wanniarachchi Binuki, Ritchie Chris, Goerigk Lars
School of Chemistry, The University of Melbourne Parkville Australia
School of Chemistry, Monash University Clayton Australia
RSC Adv. 2025 Jun 30;15(28):22419-22431. doi: 10.1039/d5ra01408e.
It has been established in the literature that time-dependent density functional theory (TD-DFT) methods systematically overestimate the electronic excitation energies in boron-dipyrromethene (BODIPY) dyes. Herein, we present the new SBYD31 benchmark set for BODIPY absorption energies and assess 28 different TD-DFT methods, most of which have not been tested on BODIPY dyes before. We show how functionals belonging to the class of recently developed spin-scaled double hybrids with long-range correction (, 2021, , 5165) overcome the overestimation problem and provide more robust results that have met the chemical accuracy threshold of 0.1 eV. To our knowledge, these are the most accurate absorption energies for BODIPY dyes reported for TD-DFT methods. In passing, we also point out how previous recommendations of "DSD" double hybrids, incl. one published in this journal (, 2022, , 1704; , 2022, , 113531), were based on incorrect interpretations of the results. Our top-three recommended methods are SOS-ωB2GP-PLYP, SCS-ωB2GP-PLYP and SOS-ωB88PP86 and we verify our recommendations by making predictions, which we confirm with experimental measurements of newly synthesised BODIPY dyes. Our results add to existing evidence how time-dependent double hybrids with spin-component scaling and long-range correction solve notoriously hard cases for conventional TD-DFT methods and we are confident that our recommendations will assist in future developments of BODIPY dyes.
文献中已证实,含时密度泛函理论(TD-DFT)方法会系统性地高估硼二吡咯亚甲基(BODIPY)染料的电子激发能。在此,我们展示了用于BODIPY吸收能的新SBYD31基准集,并评估了28种不同的TD-DFT方法,其中大多数此前未在BODIPY染料上进行过测试。我们展示了属于最近开发的具有长程校正的自旋标度双杂化类的泛函(,2021,,5165)如何克服高估问题,并提供了更稳健的结果,这些结果已达到0.1 eV的化学精度阈值。据我们所知,这些是TD-DFT方法报道的BODIPY染料最准确的吸收能。顺便提一下,我们还指出了此前关于“DSD”双杂化的建议,包括在本期刊发表的一篇文章(,2022,,1704;,2022,,113531),是基于对结果的错误解读。我们推荐的前三种方法是SOS-ωB2GP-PLYP、SCS-ωB2GP-PLYP和SOS-ωB88PP86,我们通过预测来验证我们的推荐,并通过对新合成的BODIPY染料的实验测量来确认。我们的结果进一步证明了具有自旋分量标度和长程校正的含时双杂化如何解决传统TD-DFT方法中 notoriously hard cases(难以处理的情况),并且我们相信我们的推荐将有助于BODIPY染料的未来发展。