Abstract
Rational development of organic electronic devices requires a molecular insight into the structure–performance relationships that can be established for the organic active layers. However, the current molecular-scale simulations of these devices are limited to nanometer sizes, well below the micrometer-sized systems that are needed in order to consider actual-scale morphologies and to reliably model low dopant concentrations and trap densities. Here, by enabling descriptions of both the short-range and the long-range electrostatic interactions in master equation simulations, it is demonstrated that reliable molecular-scale simulations can be applied to systems 100 times larger than those previously accessible. This quantum leap in the modeling capability allows us to uncover large inhomogeneities in the charge-carrier distributions. Furthermore, in the case of a blend morphology, charge transport in an actual-scale device is found to behave differently as a function of applied voltage, compared to the case of a uniform film. By including these features in realistic-scale descriptions, this methodology represents a major step into a deeper understanding of the operation of organic electronic devices.
Original language | English (US) |
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Article number | 1801460 |
Journal | Advanced Functional Materials |
Volume | 28 |
Issue number | 29 |
DOIs | |
State | Published - Jul 18 2018 |
Externally published | Yes |
Keywords
- GPU computing
- kinetic Monte Carlo
- master equation
- organic semiconductors
- self-interaction errors
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- General Chemistry
- Condensed Matter Physics
- General Materials Science
- Electrochemistry
- Biomaterials