2016
DOI: 10.1039/c6ra00053c
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Computational study on thermally activated delayed fluorescence of donor–linker–acceptor network molecules

Abstract: We have investigated the structure property relationship of organic molecules with Donor-Linker-Acceptor (DLA) framework which can be used as precursors of OLED materials employing Density Functional Theory (DFT) and Time dependent DFT calculations. Two types of linkers' thiophene (π-conjugated) and ethylene (non-π-conjugated), carbazole as electron donor and cyano-substituted benzene as electron acceptor in DLA framework are chosen. Donor-Linker-Acceptor network allows the HOMO and LUMO orbitals to be spatial… Show more

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Cited by 19 publications
(20 citation statements)
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References 40 publications
(85 reference statements)
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“…[1][2][3][4][5] For example, a twist in dihedral angle between donor and acceptor moieties is required to reduce the overlap between HOMO and LUMO wave functions to decrease the exchange integral (J) and lower the singlet-triplet energy gaps, which is a crucial parameter in determining the efficiency of OLED molecules. [4] On the other hand, planarity between these groups is required to enhance the efficiency in photo voltaic applications of solar cells. [6] The impact of dihedral (torsional) angle in varying the bandgaps of polymers is predominantly high even compared to the strength of donor or acceptor groups substitution to the polymeric backbone.…”
Section: Introductionmentioning
confidence: 99%
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“…[1][2][3][4][5] For example, a twist in dihedral angle between donor and acceptor moieties is required to reduce the overlap between HOMO and LUMO wave functions to decrease the exchange integral (J) and lower the singlet-triplet energy gaps, which is a crucial parameter in determining the efficiency of OLED molecules. [4] On the other hand, planarity between these groups is required to enhance the efficiency in photo voltaic applications of solar cells. [6] The impact of dihedral (torsional) angle in varying the bandgaps of polymers is predominantly high even compared to the strength of donor or acceptor groups substitution to the polymeric backbone.…”
Section: Introductionmentioning
confidence: 99%
“…Accurate prediction of geometry plays a decisive role in evaluating various properties like band gaps, exchange energies, singlet‐triplet energy gaps, spin orbit coupling interactions, optical gaps, exciton binding energies, and so forth . For example, a twist in dihedral angle between donor and acceptor moieties is required to reduce the overlap between HOMO and LUMO wave functions to decrease the exchange integral (J) and lower the singlet‐triplet energy gaps, which is a crucial parameter in determining the efficiency of OLED molecules . On the other hand, planarity between these groups is required to enhance the efficiency in photo voltaic applications of solar cells .…”
Section: Introductionmentioning
confidence: 99%
“…These materials are gradually replacing the traditional materials (e.g., their inorganic counterparts) in different fields that have been dominating the markets over the past few decades. The function and performance of these materials depends heavily on their optoelectronic properties, including the vertical ionization potentials (IPs), vertical electron affinities (EAs), fundamental gaps (FGs), optical gaps, and so forth . For example, organic light emitting diodes contain several layers of different stacked organic films, and there exists an energy barrier to the flow of charge between these layers, therefore, the knowledge of transport energy levels is required along with IPs, EAs, and FGs that can help in optimizing and designing the devices with higher efficiencies.…”
Section: Introductionmentioning
confidence: 99%
“…With the widespread usage and growing interest in organic semiconductors (OSCs) due to their versatile properties and their potential in replacing the inorganic counterparts in application of various technologies like photovoltaics (PVs), thin field transistors, light emitting diodes (LEDs) devices, etc., accurate determination of ionization potentials (IPs), electron affinities (EAs), and frontier molecular orbital energies of OSCs attracts a great attention. Precise prediction of IPs, EAs helps in determining various properties like exciton binding energies, electron, and hole injections, which plays a crucial role in determining the efficiencies of these devices and calculation of accurate transport energy levels (HOMO, LUMO) helps in the right choice of selection of electrodes in OLEDs and solar cells setup . Hence, a reliable theoretical methodology, which predicts the above mentioned properties accurately is required to design and develop the devices of higher efficiencies.…”
Section: Introductionmentioning
confidence: 99%