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|a 10.1002/jcc.26505
|2 doi
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|a pubmed24n1078.xml
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|a (NLM)33797766
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|a DE-627
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|a eng
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|a Tirri, Bernardino
|e verfasserin
|4 aut
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|a A combined Monte Carlo/DFT approach to simulate UV-vis spectra of molecules and aggregates
|b Merocyanine dyes as a case study
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 28.09.2021
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|a Date Revised 28.09.2021
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2021 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.
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|a The combination of a Monte Carlo (MC) sampling of the configurational space with time dependent-density functional theory (TD-DFT) to estimate vertical excitations energies has been applied to compute the absorption spectra of a family of merocyanine dyes in both their monomeric and dimeric forms. These results have been compared to those obtained using a static DFT/TD-DFT approach as well as to the available experimental spectra. Though suffering of the limitations related to the use of DFT and TD-DFT for this type of systems, our data clearly show that the classical MC sampling provides a suitable alternative to classical molecular dynamics to explore the structural flexibility of these donor-acceptor (D-π-A) chromophores enabling a realistic description of the potential energy surface of both their monomers and aggregates (here dimers) and thus of their spectra. Overall, the combination of MC sampling with quantum mechanics (TD-DFT) calculations, carried out in implicit dioxane solvent on random snapshots, provides a workable compromise to solve the combined challenge of accuracy and time-consuming problem not only for merocyanines momers, but also for their dimers, up to now less investigated. Indeed, the simulated absorption spectra fairly agree with the experimental ones, suggesting the general reliability of the method
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Monte Carlo sampling
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|a TD-DFT
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|a absorption spectra
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|a Mazzone, Gloria
|e verfasserin
|4 aut
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|a Ottochian, Alistar
|e verfasserin
|4 aut
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|a Gomar, Jerôme
|e verfasserin
|4 aut
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|a Raucci, Umberto
|e verfasserin
|4 aut
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|a Adamo, Carlo
|e verfasserin
|4 aut
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|a Ciofini, Ilaria
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 42(2021), 15 vom: 05. Juni, Seite 1054-1063
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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|g volume:42
|g year:2021
|g number:15
|g day:05
|g month:06
|g pages:1054-1063
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|u http://dx.doi.org/10.1002/jcc.26505
|3 Volltext
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