Electron Trapping in Acceptor Doped Polymers

Borsenberger, P. M.; Gruenbaum, W. T.; Magin, E. H.; Visser, Susan A.

doi:10.1002/(sici)1521-396x(199804)166:2<835::aid-pssa835>3.0.co;2-9

Cited by 11 publications

(3 citation statements)

References 34 publications

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“…Furthermore, the dye concentration in such systems typically ranges from 1 to 10%. Figure 3, and also previous experimental work [9][10][11][12][13][14][15], shows that the cross-over to guest-to-guest hopping can coincide with this concentration range.…”

Section: Small Electric Fields-comparison With Semi-analytical Resultssupporting

confidence: 80%

“…The charge-carrier mobility in host-guest systems is substantially influenced by the guest if the energy of the HOMO (highest occupied molecular orbital) and/or LUMO (lowest unoccupied molecular orbital) of the guest molecule lies within the energy gap of the host. Time-of-flight (TOF) experiments [9][10][11][12][13][14][15] have revealed that there are then four transport regimes (see figures 1(a)-(d)). For very small guest concentrations the presence of guest molecules will not significantly affect the charge transport (figure 1(a)).…”

Section: Introductionmentioning

confidence: 99%

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Charge transport in disordered organic host–guest systems: effects of carrier density and electric field

Yimer¹,

Bobbert²,

Coehoorn³

2008

J. Phys.: Condens. Matter

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We investigate charge transport in disordered organic host-guest systems with a bimodal Gaussian density of states (DOS). The energy difference between the two Gaussians defines the trap depth. By solving the Pauli master equation for the hopping of charge carriers on a regular lattice with site energies randomly drawn from the DOS, we obtain the dependence of the charge-carrier mobility on the relative guest concentration, the trap depth, the energetic disorder, the charge-carrier density and the electric field. At small and high guest concentrations, our work provides support for recent semi-analytical model results on the dependence of the mobility on the charge-carrier density at zero field. However, at the cross-over between the trap-limited and trap-to-trap hopping regimes, where the mobility attains a minimum, our results can almost be one order of magnitude larger than predicted semi-analytically. Furthermore, it is shown that field-induced detrapping can contribute strongly to the electric-field dependence of the mobility. A simple analytical expression is provided which describes the effect. This result can be used in continuum drift-diffusion models for charge transport in devices such as organic light-emitting diodes.

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Section: Small Electric Fields-comparison With Semi-analytical Resultssupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Charge transport in disordered organic host–guest systems: effects of carrier density and electric field

Yimer¹,

Bobbert²,

Coehoorn³

2008

J. Phys.: Condens. Matter

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show abstract

“…Arenediimide groups were chosen for single‐electron islands due to their strong electron acceptor properties. (They have already been exploited in the design of a variety of molecular materials 41–4546.…”

Section: Molecular Devicesmentioning

confidence: 99%

CrossNets: High‐Performance Neuromorphic Architectures for CMOL Circuits

Likharev

Mayr

Muckra

et al. 2003

Annals of the New York Academy of Sciences

101

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The exponential, Moore's Law, progress of electronics may be continued beyond the 10-nm frontier if the currently dominant CMOS technology is replaced by hybrid CMOL circuits combining a silicon MOSFET stack and a few layers of parallel nanowires connected by self-assembled molecular electronic devices. Such hybrids promise unparalleled performance for advanced information processing, but require special architectures to compensate for specific features of the molecular devices, including low voltage gain and possible high fraction of faulty components. Neuromorphic networks with their defect tolerance seem the most natural way to address these problems. Such circuits may be trained to perform advanced information processing including (at least) effective pattern recognition and classification. We are developing a family of distributed crossbar network (CrossNet) architectures that permit the combination of high connectivity neuromorphic circuits with high component density. Preliminary estimates show that this approach may eventually allow us to place a cortex-scale circuit with about 10(10) neurons and about 10(14) synapses on an approximately 10 x 10 cm(2) silicon wafer. Such systems may provide an average cell-to-cell latency of about 20 nsec and, thus, perform information processing and system training (possibly including self-evolution after initial training) at a speed that is approximately six orders of magnitude higher than in its biological prototype and at acceptable power dissipation.

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Organic Photoconductors: Photogeneration, Transport, and Applications in Printing

Weiss¹

2022

Photoconductivity and Photoconductive Materials

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Electron Trapping in Acceptor Doped Polymers

Cited by 11 publications

References 34 publications

Charge transport in disordered organic host–guest systems: effects of carrier density and electric field

Charge transport in disordered organic host–guest systems: effects of carrier density and electric field

CrossNets: High‐Performance Neuromorphic Architectures for CMOL Circuits

Organic Photoconductors: Photogeneration, Transport, and Applications in Printing

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