Charge Transport Advancement in Anti‐Ambipolar Transistors: Spatially Separating Layer Sandwiched between N‐Type Metal Oxides and P‐Type Small Molecules
Bibliographic record
Abstract
Abstract Interface issues with organic semiconductors on metal oxide challenge realizing a high‐performance anti‐ambipolar transistor (AAT) with stable operation. The motivation behind this research delves into the intricate landscape of AATs, elucidating their envisioned applications and constituent materials. Central to the authors, discourse is the pivotal role that fluoropolymers assume, acting as a bridge uniting n‐type metal oxide semiconductors (n‐oxide) with p‐type organic semiconductors (p‐organic), thereby unveiling a hitherto concealed facet of transistor advancement. Adopting a spatially separating layer (SSL) between p‐ and n‐type semiconductors of AAT is unconventional, but this p‐organic/SSL/n‐oxide junction (pSn) AAT exhibits stable operation also 215 days after fabrication and minimal hysteresis, which is 13.67 times smaller than a conventional p‐organic/n‐oxide junction (pn) AAT. The effect of SSL is closely studied through comparisons of the performance of single‐type transistors, trap density, and carrier behavior, which define the order of 1/ f at low‐frequency noise analysis. In addition, the contribution of SSL is confirmed via the channel formation mechanism of AAT investigated through a two‐dimensional (2D) finite‐element simulation. The operation stability of pSn AAT is evaluated through combined stress tests, long‐term stability tests, and transient response tests. This research proposes SSL as a new design parameter to improve the AAT.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".