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Accurate prediction of emission energies with TD-DFT methods for platinum and iridium OLED materials

Overview of attention for article published in Journal of Molecular Modeling, May 2017
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Title
Accurate prediction of emission energies with TD-DFT methods for platinum and iridium OLED materials
Published in
Journal of Molecular Modeling, May 2017
DOI 10.1007/s00894-017-3348-2
Pubmed ID
Authors

Glenn R. Morello

Abstract

Accurate prediction of triplet excitation energies for transition metal complexes has proven to be a difficult task when confronted with a variety of metal centers and ligand types. Specifically, phosphorescent transition metal light emitters, typically based on iridium or platinum, often give calculated results of varying accuracy when compared to experimentally determined T1 emission values. Developing a computational protocol for reliably calculating OLED emission energies will allow for the prediction of a complex's color prior to synthesis, saving time and resources in the laboratory. A comprehensive investigation into the dependence of the DFT functional, basis set, and solvent model is presented here, with the aim of identifying an accurate method while remaining computationally cost-effective. A protocol that uses TD-DFT excitation energies on ground-state geometries was used to predict triplet emission values of 34 experimentally characterized complexes, using a combination of gas phase B3LYP/LANL2dz for optimization and B3LYP/CEP-31G/PCM(THF) for excitation energies. Results show excellent correlation with experimental emission values of iridium and platinum complexes for a wide range of emission energies. The set of complexes tested includes neutral and charged complexes, as well as a variety of different ligand types.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Doctoral Student 3 14%
Student > Bachelor 3 14%
Student > Master 2 10%
Student > Postgraduate 2 10%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Chemistry 10 48%
Physics and Astronomy 3 14%
Chemical Engineering 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Unknown 6 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2017.
All research outputs
#20,420,242
of 22,971,207 outputs
Outputs from Journal of Molecular Modeling
#636
of 820 outputs
Outputs of similar age
#270,482
of 310,778 outputs
Outputs of similar age from Journal of Molecular Modeling
#17
of 20 outputs
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So far Altmetric has tracked 820 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.