Self-Consistent Extraction of Mobility and Series Resistance: A Hierarchy of Models for Benchmarking Organic Thin-Film Transistors
Why this work is in the frame
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Bibliographic record
Abstract
Organic thin-film transistors (OTFTs) are usually benchmarked across different devices and technologies based on the threshold voltage, charge carrier mobility, and series resistance. However, conventional parameter extraction established for silicon transistors frequently lead to misleading results when applied to OTFTs. Some of the peculiarities of OTFTs can be addressed by the virtual-source (VS) emission–diffusion (ED) theory. Using published data and own measurements, we show that the electrical characteristics of OTFTs partially limited by mobile charge supply to the channel, thermic emission, or by velocity saturation can be successfully predicted by an organic VSED model. Simplifying the current-voltage dependence obtained from the VSED theory modified for organic materials (OVSED), we introduce a hierarchy of benchmark models only employing one additional parameter with a specific electrical signature for each of these limitations. As a special case, the hierarchy includes the widely applied Shichman–Hodges (SH) model. In combination with standard nonlinear least-squares solvers, such benchmark models can replace conventional extraction methods and are applicable to a wider range of OTFT technologies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it