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Record W4285398882 · doi:10.1149/ma2022-01181040mtgabs

Electrotuneable Radical Polymers for Thin-Film Electronic Device Applications

2022· article· en· W4285398882 on OpenAlexaff
Deepa Singh, François Magnan, Joe B. Gilroy, Giovanni Fanchini

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsWestern University
Fundersnot available
KeywordsMaterials scienceThin filmFlash memoryOptoelectronicsPolymerNanotechnologyKelvin probe force microscopeActive layerThin-film transistorNanoelectronicsDopingOrganic electronicsTransistorLayer (electronics)VoltageComputer scienceElectrical engineeringAtomic force microscopyComposite material

Abstract

fetched live from OpenAlex

Polyradicals – organic radical polymers in which each repeating unit contains a singly occupied molecular orbital (i.e. an unpaired electron spin) – are unique alternatives to their π-conjugated and semiconducting counterparts for several applications.[1] Unique of polyradicals are tunable charge states at their repeating units (see figure) which enable multi-stable charge transport regimes at the nanoscale. In this talk, we will present the use of thin films of polyradicals in transparent and flexible thin-film nanoelectronics. Although field-effect thin-film transistors (FETs) and flash memory devices ("memristors") based on radical polymers have been often proposed, memristor stability was frequently limited to a few writing cycles, in spite of the excellent quality of the active layer, and no FETs have been demonstrated, even though evidence of polyradical doping has been offered.[2] Here, the design criteria for flash memory devices are reviewed.It will be shown, using a combination of Kelvin-probe force microscopy (KPFM), electrical transport and optical measurements, that single-layer flash memory devices can be demonstrated from 6-oxoverdazyls, a class of radical polymers from which ultra-thin and ultra-smooth organic thin flims are advantageously processable.[3] As a case study, ultrathin devices in which the active layer is formed by a 15-nm homogeneous film of a poly-norbornene-6-oxoverdazyl (PN-6OV) polyradical synthesized by a dry vacuum polymer deposition technique are presented and compared with the corresponding devices of poly-6-oxoverdazyls (P6OV) synthesized by wet chemistry. [4] We will show that high performance is associated to the presence three tunable charge states in each monomer: positive, neutral, and negative, and also depends on the length of the pendant groups to which the radical repeating units are attached. We will demonstrate that careful engineering of the anode and cathode work functions, specifically aligning them with the negative and positive energy levels of the polyradical, is vital to maximize the on/off current ratio and ensure flash operation. The possibility to achieve electro-tunable poly-6-oxoverdazyl radical polymers by different techniques offer uniques opportunities for their use in a variety of different contexts, for example in transparent and/or flexible electronics, and where compatibility with different substrates is required. In the last part of our talk, we will present how a vertical device architecture, with drain-source contacts sandwiching the active layer of a strongly correlated 6-oxoverdazyl polyradical, leads to on/off ratios >103 in p-type PR-FETs. [4] Hole injection thus occurs by contact doping via tunable charge states at the polyradical-electrode interface. PRFETs are superior to existing organic FETs as they combine memristor and transistor functions in one mem-transistor device, offering unique potential for synaptic and spintronic applications. [1] Joo, Y.; Agarkar, V.; Sung, S. H.; Savoie, B. M.; Boudouris, B. W. A Nonconjugated Radical Polymer Glass with High Electrical Conductivity. Science 2018, 359, 1391-1395 [2] Nguyen, T. P.; Easley, A. D.; Kang, N.; Khan, S.; Lim,S-M.; Rezenom, Y. H.; Wang, S.; Tran, D. K.; Fan, J.; Letteri, R. A.; He, X.; Su, L.; Yu, C-H.; Lutkenhaus, J. L.; Wooley K, L. Polypeptide organic radical batteries. Nature, 2021, 593, 61 [3] Ezugwu, S.; Paquette, J. A.; Yadav, V.; Gilroy, J. B.; Fanchini, G. Design Criteria for Ultrathin Single-Layer Flash Memristors from an Organic Polyradical. Adv. Electron. Mater. 2016, 2, 1600253 [4] Singh, D.; Magnan, F.; Gilroy, J. B.; Fanchini, G. Transparent and flexible field-effect transistors and mem-transistors with electroactive layers of solution-processed organic polyradicals, https://arxiv.org/abs/1910.10212 Figure 1

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.010
GPT teacher head0.246
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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