vertical excitation energies
Recently Published Documents


TOTAL DOCUMENTS

63
(FIVE YEARS 8)

H-INDEX

18
(FIVE YEARS 2)

Molecules ◽  
2021 ◽  
Vol 26 (24) ◽  
pp. 7434
Author(s):  
Anna M. Grabarz ◽  
Borys Ośmiałowski

This study presents an extensive analysis of the predictive power of time-dependent density functional theory in determining the excited-state properties of two groups of important fluorescent dyes, difluoroboranes and hydroxyphenylimidazo[1,2-a]pyridine derivatives. To ensure statistically meaningful results, the data set is comprised of 85 molecules manifesting diverse photophysical properties. The vertical excitation energies and dipole moments (in the electronic ground and excited states) of the aforementioned dyes were determined using the RI-CC2 method (reference) and with 18 density functional approximations (DFA). The set encompasses DFAs with varying amounts of exact exchange energy (EEX): from 0% (e.g., SVWN, BLYP), through a medium (e.g., TPSSh, B3LYP), up to a major contribution of EEX (e.g., BMK, MN15). It also includes range-separated hybrids (CAM-B3LYP, LC-BLYP). Similar error profiles of vertical energy were obtained for both dye groups, although the errors related to hydroxyphenylimidazopiridines are significantly larger. Overall, functionals including 40–55% of EEX (SOGGA11-X, BMK, M06-2X) ensure satisfactory agreement with the reference vertical excitation energies obtained using the RI-CC2 method; however, MN15 significantly outperforms them, providing a mean absolute error of merely 0.04 eV together with a very high correlation coefficient (R2 = 0.98). Within the investigated set of functionals, there is no single functional that would equally accurately determine ground- and excited-state dipole moments of difluoroboranes and hydroxyphenylimidazopiridine derivatives. Depending on the chosen set of dyes, the most accurate μGS predictions were delivered by MN15 incorporating a major EEX contribution (difluoroboranes) and by PBE0 containing a minor EEX fraction (hydroxyphenylimidazopiridines). Reverse trends are observed for μES, i.e., for difluoroboranes the best results were obtained with functionals including a minor fraction of EEX, specifically PBE0, while in the case of hydroxyphenylimidazopiridines, much more accurate predictions were provided by functionals incorporating a major EEX contribution (BMK, MN15).


2021 ◽  
Author(s):  
Niccolò Ricardi ◽  
Cristina Elizabeth González-Espinoza ◽  
Suliman Adam ◽  
Jonathan Church ◽  
Igor Schapiro ◽  
...  

Many simulation methods concerning solvated molecules are based on the assumption that the solvated species and the solvent can be characterized by some representative structure of the solute and some embedding potential corresponding to this structure. This assumption is re-examined and generalized for conformationally flexible solutes. In the proposed and investigated generalization, the solute is characterized by a set of representative structures and the corresponding embedding potentials. The representative structures are identified by means of subdividing the statistical ensemble, which in this work is generated by a constant-temperature molecular dynamics simulation. The embedding potential defined in Frozen-Density Embedding Theory is used to characterize the average effect of the solvent in each subensemble. The numerical examples concern vertical excitation energies of protonated retinal Schiff bases in protein environments. It is comprehensively shown that subensemble averaging leads to huge computational savings compared to explicit averaging of the excitation energies in the whole ensemble while introducing only minor errors.


2021 ◽  
Vol 154 (22) ◽  
pp. 221103
Author(s):  
Pierre-François Loos ◽  
Devin A. Matthews ◽  
Filippo Lipparini ◽  
Denis Jacquemin

2020 ◽  
Vol 41 (15) ◽  
pp. 1448-1455 ◽  
Author(s):  
Ayush K. Narsaria ◽  
Julian D. Ruijter ◽  
Trevor A. Hamlin ◽  
Andreas W. Ehlers ◽  
Célia Fonseca Guerra ◽  
...  

2018 ◽  
Vol 119 (1) ◽  
pp. e25684 ◽  
Author(s):  
Tommaso Giovannini ◽  
Marina Macchiagodena ◽  
Matteo Ambrosetti ◽  
Alessandra Puglisi ◽  
Piero Lafiosca ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document