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光学材料的加速计算机辅助筛选:研究Δ-SCF方法预测大型染料分子发射最大值的潜力。

Accelerated Computer-Aided Screening of Optical Materials: Investigating the Potential of Δ-SCF Methods to Predict Emission Maxima of Large Dye Molecules.

作者信息

Tripathy Vikrant, Flood Amar H, Raghavachari Krishnan

机构信息

Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.

出版信息

J Phys Chem A. 2024 Oct 3;128(39):8333-8345. doi: 10.1021/acs.jpca.4c02848. Epub 2024 Sep 20.

Abstract

Accurate simulation of electronic excited states of large chromophores is often difficult due to the computationally expensive nature of existing methods. Common approximations such as fragmentation methods that are routinely applied to ground-state calculations of large molecules are not easily applicable to excited states due to the delocalized nature of electronic excitations in most practical chromophores. Thus, special techniques specific to excited states are needed. Δ-SCF methods are one such approximation that treats excited states in a manner analogous to that for ground-state calculations, accelerating the simulation of excited states. In this work, we employed the popular initial maximum overlap method (IMOM) to avoid the variational collapse of the electronic excited state orbitals to the ground state. We demonstrate that it is possible to obtain emission energies from the first singlet (S) excited state of many thousands of dye molecules without any external intervention. Spin correction was found to be necessary to obtain accurate excitation and emission energies. Using thousands of dye-like chromophores and various solvents (12,318 combinations), we show that the spin-corrected initial maximum overlap method accurately predicts emission maxima with a mean absolute error of only 0.27 eV. We further improved the predictive accuracy using linear fit-based corrections from individual dye classes to achieve an impressive performance of 0.17 eV. Additionally, we demonstrate that IMOM spin density can be used to identify the dye class of chromophores, enabling improved prediction accuracy for complex dye molecules, such as dyads (chromophores containing moieties from two different dye classes). Finally, the convergence behavior of IMOM excited state SCF calculations is analyzed briefly to identify the chemical space, where IMOM is more likely to fail.

摘要

由于现有方法计算成本高昂,准确模拟大型发色团的电子激发态往往很困难。常见的近似方法,如常用于大分子基态计算的片段化方法,由于大多数实际发色团中电子激发的离域性质,不易应用于激发态。因此,需要特定于激发态的特殊技术。Δ - SCF方法就是这样一种近似方法,它以类似于基态计算的方式处理激发态,加速了激发态的模拟。在这项工作中,我们采用了流行的初始最大重叠方法(IMOM)来避免电子激发态轨道向基态的变分坍缩。我们证明,无需任何外部干预,就有可能从数千个染料分子的第一单线态(S)激发态获得发射能量。发现自旋校正对于获得准确的激发和发射能量是必要的。使用数千种类染料发色团和各种溶剂(12318种组合),我们表明自旋校正的初始最大重叠方法能够准确预测发射最大值,平均绝对误差仅为0.27 eV。我们通过基于线性拟合的个别染料类校正进一步提高了预测精度,达到了令人印象深刻的0.17 eV性能。此外,我们证明IMOM自旋密度可用于识别发色团的染料类别,从而提高对复杂染料分子(如二元体,即包含来自两种不同染料类别的部分的发色团)的预测精度。最后,简要分析了IMOM激发态SCF计算的收敛行为,以确定IMOM更可能失败的化学空间。

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