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Record W4323310476 · doi:10.1021/acs.chemmater.2c03305

Room-Temperature Photodeposited Amorphous VO <sub> <i>x</i> </sub> Hole-Transport Layers for Organic Devices

2023· article· en· W4323310476 on OpenAlexafffund
Renaud Miclette Lamarche, Akpeko Gasonoo, Anderson Hoff, Roman Chernikov, Gregory C. Welch, Simon Trudel

Bibliographic record

VenueChemistry of Materials · 2023
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsCanadian Light Source (Canada)University of Calgary
FundersAlberta Innovates
KeywordsMaterials scienceAmorphous solidOLEDNanocrystalline materialFabricationAnnealing (glass)OptoelectronicsThin filmCrystallinityPEDOT:PSSVanadium oxideOrganic solar cellSpin coatingNanotechnologyOxideLayer (electronics)PolymerComposite materialOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

Hole-transport layers (HTLs) and hole-injection layers (HIL) are an integral part of optoelectronic devices such as organic photovoltaic cells (OPVs) and organic light-emitting diodes (OLEDs). A class of materials commonly used as HTLs are metal oxides because they have high transparency and stability. These metal oxides are, however, often made using techniques that are not conducive to large-scale fabrication, a challenge that must be resolved for the widespread adoption of these devices. In this work, we demonstrate the use of a room-temperature, ambient photochemical deposition route to form vanadium oxide films. We show, using a combination of X-ray absorption and X-ray photoemission spectroscopies, that the VO x film consists of V 2 O 5 but with a significant amount of V 4+ present. These films are initially created amorphous and become nanocrystalline after annealing in air at a temperature of 250 °C. After incorporating these VO x thin films as HTLs in both OPV and OLED devices, we surprisingly find this increase in crystallinity does not translate to improvement in device performance. All devices perform similarly to─or better than─control devices using PEDOT:PSS as an HTL. We furthermore demonstrate that these films are not affected by the operation of these devices and that the technique can be employed in combination with slot-die coating printing techniques. This work provides an easily upscaled, low-temperature method for depositing metal-oxide HTL layers.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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".

Quick stats

Citations9
Published2023
Admission routes2
Has abstractyes

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