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Record W4293249909 · doi:10.1149/10801.0017ecst

Electrotuneable Radical Polymers for Thin-Film Electronic Device Applications

2022· article· en· W4293249909 on OpenAlexaff
Deepa Singh, François Magnan, Joe B. Gilroy, Giovanni Fanchini

Bibliographic record

VenueECS Transactions · 2022
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsWestern University
Fundersnot available
KeywordsDopingMaterials scienceNanotechnologyTransistorPolymerOrganic electronicsElectronicsOrganic semiconductorField-effect transistorOptoelectronicsChemistryVoltageElectrical engineering

Abstract

fetched live from OpenAlex

Polyradicals, organic polymers in which each repeating sub-unit contains a stable radical with an unpaired spin, are establishing themselves as unique alternatives to state-of-the-art conducting polymers for a variety of applications. A decisive advantage of polyradicals rests on their charge tunability and switchable transport properties. Current interests in polyradicals have been focused on batteries and resistive memory devices. Polyradical doping has remained a challenge, however, notwithstanding recent developments. Due to doping issues, single-component polyradical organic field-effect transistors (OFETs), a vital milestone in polyradical electronics, have not yet been achieved. Here, we demonstrate that an OFET architecture with source-drain contacts sandwiching the polyradical active layer led to on/off ratios >10 3 in what are the first p-type polyradical-FETs (PR-FETs) reported so far. These OFETs are based on a 6-oxoverdazyl polyradical with no impurity doping, in which hole injection occurs due to tunable charge states at the polyradical/source interface. By introducing the new concept of contact-doping, our work provides a route for translating single-component polyradical thin films into OFETs, the fundamental building blocks of organic electronics. Because of the switchable transport properties of 6-oxoverdazyl polyradicals, our PR-FETs could be used to implement the first organic mem-transistors reported to date.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.008
GPT teacher head0.236
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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