(Invited) Ionic Liquid-Gated PCBM Transistors: Pushing the Limit of the Doping in Organic Transistors
Bibliographic record
Abstract
Electrolyte-gated (EG) organic transistors are interesting for their low voltage operation and versatile cost-effective fabrication and printability.1 Room temperature ionic liquids (RTILs) are attractive as gating media for their chemico-physical properties, such as ionic conductivity up to 10 mS·cm-1, negligible volatility, and electrochemical stability windows up to ca 5 V.2 The availability of RTILs with different molecular structures gives the possibility to control specifically the interactions between the ions constituting the RTIL and the channel material in view of an optimized doping. Clear guidelines to establish an effective doping as a function of the ions constituting the electrolyte, are yet to be established. In this work we report on EG transistors with phenyl-C61-butyric acid methyl ester (PCBM), as the channel material, and room temperature ionic liquids based on bis(trifluoromethylsulfonyl)imide ([TFSI]) anion, as the gating medium. The cations constituting the ionic liquids were 1-ethyl-3-methylimidazolium ([EMIM]), 1-butyl-3-methylimidazolium ([BMIM]) or 1-butyl-1-methylpyrrolidinium ([PYR14]). Electrical measurements show that the cation strongly affects the behavior of n-type EG PCBM transistors. The higher charge carrier mobility, lower on/off ratio and faster response time obtained with [PYR14][TFSI]-gated transistors, suggests lower cation incorporation into the PCBM channel material. [EMIM][TFSI]- and [BMIM][TFSI]-gated PCBM transistors featured similar electric behavior, coherent with the similar molecular structure of the cations. 1. S. H. Kim et al., Adv. Mater. Weinheim, 25, 1822–1846 (2013). 2. M. Galiński, A. Lewandowski, and I. Stępniak, Electrochim. Acta, 51, 5567 (2006).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".