Enhanced Charge Transport in Organic Thin-Film Transistors Through Environmentally Benign MXene-P3HT Nanocomposites
Bibliographic record
Abstract
In this work, we report the synthesis of MXene (Ti2CTX) nanobelts from its MAX (Ti2AlC) phase via hydrothermal treatment with 5 M NaOH. This is an environmentally friendly and safer alternative to traditional HF-based etching processes. This approach reduces risks to health and handling concerning HF but maintains the exfoliation quality of the MXene layers. The Ti2CTX nanobelts were then incorporated at various concentrations into poly(3-hexylthiophene) (P3HT) matrices to form nanocomposite films using the unidirectional floating film transfer method (UFTM). These aligned hybrid films showed dramatically improved charge transport properties compared to pristine P3HT. For instance, adding 3% (v/v) MXene increased the charge carrier mobility from 0.05 cm2V${}^{-{1}}$s${}^{-{1}}$(pristine P3HT) to 0.57 cm2V${}^{-{1}}$s${}^{-{1}}$with a high on/off current ratio of$10^{{5}}$. We attribute this improvement to the template effect of the MXene nanobelts, which promotes the orientational alignment of P3HT chains, thus facilitating efficient charge transport pathways.
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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".