Charge‐Transport Processes in Host–Dopant Organic Semiconductors
Bibliographic record
Abstract
Abstract Host–dopant systems are the foundation for designing the light‐emission zones of organic light‐emitting diodes (OLEDs). An efficient OLED design has to consider the detailed charge transport processes in a host–dopant system in order to regulate charges for optimal distribution of excitons. It is reported that two charge transport pathways, Frenkel–Poole type transport via either host sites or dopant sites and charge hopping between host and dopant sites, are at play. The activation energy barrier in the hopping transport is identified as the energy level offset at the host–dopant interface, and is found consistent with the energy offset in the highest occupied molecular orbitals directly measured by ultraviolet photoemission spectroscopy. Dopant concentration and the host–dopant energy offset are identified as the key parameters dictating charge conduction path in the system. Practical equations are derived to calculate carrier mobility as a function of dopant concentration and dopant–host molecular energy offset.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".