Patterned electrode vertical OFET: analytical description, switching mechanisms, and optimization rules
Bibliographic record
Abstract
Patterned Electrode Vertical Organic Field Effect Transistor (PE-VOFET) operational behavior is examined in this work with the use of self-consistent numerical model and experimental measurements. The device is described as a single carrier type diode where one of its electrode's electrical properties could be altered under the gate influence, switching the current regime between the Contact Limited (CL) and the Space Charge Limited (SCL) regimes. Here we show that two distinct mechanisms can play a role in the switching process; inducing the formation of virtual contacts for the ideal Schottky barrier-based device or inducing a potential barrier which eliminates charge extraction for the non-ideal ohmic contact-based device. The latter is further examined by varying the Patterned Electrode (PE) thickness which alters the sub-threshold swing performances, determining the gate bias required to turn off the device. We further provide optimization rules regarding the active layer thickness (channel length), which hold for the 'ideal' performances of the single layer PE-VOFET. Based on the aforementioned models and optimization rules, we provide guidelines for the ideal PE-VOFET structure and future challenges in its fabrication.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".