Enhancement of Stability to Light in Field-Effect Transistors Based on Cumulenic sp-carbon Wires by Opaque Gating Electrodes
Bibliographic record
Abstract
Cumulenic sp-hybridized carbon wires are receiving attention both for their excellent intrinsic electronic properties and for their potential exploitation as active semiconducting layers in large-area and flexible organic electronic devices. Such molecules exhibit a highly conjugated backbone chain, an equally high degree of electronic tunability, and offer an opportunity to better understand the elusive carbon allotrope known as carbyne. Among this class of molecules, tetraphenyl[3]cumulene ([3]Ph) has emerged as a reference point for applications in organic field-effect transistors (OFETs), owing to promising charge carrier mobility of > 0.1 cm2/Vs. However, photoinduced degradation of [3]Ph is a significant limitation to its possible future applications. Here, a gating strategy based on an opaque, spray-coated activated carbon (AC) based electrode is investigated to mitigate photodegradation in [3]Ph-based OFETs. Top-gate bottom-contact transistors have been fabricated and tested under various light conditions, comparing devices gated either by a transparent layer of PEDOT:PSS or opaque layers of AC, to probe light-induced degradation. Unlike PEDOT:PSS devices, the AC-gated transistors maintain consistent performance under light, demonstrating potential for practical applications of [3]Ph, similar cumulenes or even other photodegradable semiconductors in organic electronics.
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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".