2019
DOI: 10.1103/physrevapplied.12.064039
|View full text |Cite
|
Sign up to set email alerts
|

Experimentally Validated Hopping-Transport Model for Energetically Disordered Organic Semiconductors

Abstract: Charge transport in disordered organic semiconductors occurs by hopping of charge carriers between localized sites that are randomly distributed in a strongly energy-dependent density of states. Extracting disorder and hopping parameters from experimental data, such as temperature-dependent current-voltage characteristics, typically relies on parametrized mobility functionals that are integrated in a drift-diffusion solver. Surprisingly, the functional based on the extended Gaussian disorder model (eGDM) is ex… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
26
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
9

Relationship

5
4

Authors

Journals

citations
Cited by 35 publications
(27 citation statements)
references
References 46 publications
1
26
0
Order By: Relevance
“…The base value for the energetic disorder, 75 meV, used in this article is rather modest for classic polymer:fullerene systems, though highly relevant for state-of-the-art nonfullerene systems. [32][33][34] Thus, gradient-engineering of OPV is a plausible and in principle generally applicable route to improved device performance. However, it is very well possible that unintentional gradients, for example, due to different surface and interfacial energies of the donor and acceptor materials causing a spontaneous stratification during layer deposition, already exist and play a role in optimized OPV systems, as alluded to by several authors, e.g., the Introduction section.…”
Section: Resultsmentioning
confidence: 99%
“…The base value for the energetic disorder, 75 meV, used in this article is rather modest for classic polymer:fullerene systems, though highly relevant for state-of-the-art nonfullerene systems. [32][33][34] Thus, gradient-engineering of OPV is a plausible and in principle generally applicable route to improved device performance. However, it is very well possible that unintentional gradients, for example, due to different surface and interfacial energies of the donor and acceptor materials causing a spontaneous stratification during layer deposition, already exist and play a role in optimized OPV systems, as alluded to by several authors, e.g., the Introduction section.…”
Section: Resultsmentioning
confidence: 99%
“…The kMC algorithm has been introduced in previous works. [36][37][38][39][40][41] Details can be found in the Supporting Information. In brief, we consider a cubic lattice with lattice parameter 𝑎 𝑁𝑁 = eV and HOMO of -5.5 eV, -5.9 eV for donor and acceptor, respectively.…”
Section: Kinetic Monte Carlo Modellingmentioning
confidence: 99%
“… 10 , 38 In a recent work, we investigated the energetic disorder in a range of OPV blends and found Gaussian disorder values σ ranging from 45 to 80 meV, without any clear correlation between σ and V OC . 39 For the PM6:Y6 system, σ HOMO ≈ 89 meV and σ LUMO ≈ 68 meV were found. Because these numbers are much higher than the thermal energy kT ≈ 25 meV at room temperature and well exceed the thresholds we previously found for disorder to become negligible, 20 one should expect the phenomena discussed above to be relevant for this NFA system as well.…”
mentioning
confidence: 93%