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Record W6891510007 · doi:10.48336/dfay-q944

Electrosynthesis of nanocomposite thin films at immiscible liquid|liquid interfaces

2023· article· en· W6891510007 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsElectrosynthesisNanocompositeThin filmPolymerizationInterfacial polymerizationElectrolyteElectron transferAqueous solution

Abstract

fetched live from OpenAlex

Contemporary research on conductive thin film materials has expanded beyond its applications in solar cells, semiconductor devices, and optical coatings to include the development of biocompatible electrode materials and organic thin film transistors. This study focuses on the use of immiscible micro liquid|liquid interfaces between water|oil (w|o) or water|ionic liquid (w|IL) to generate free-standing thin films that incorporate metal nanoparticles (NPs) electrogenerated in situ by reducing a metal salt in the aqueous phase and a hydrophobic electron donor dissolved in the organic/ionic liquid phase. Following an exploration of recent advancements in electropolymerization at an electrified interface, which encompassed the synthesis of polymeric base networks, metal nanoparticles, and nanocomposite film formation, as well as the electrochemical processes at the interface between immiscible electrolyte solutions, four electron donors were examined: ferrocene, IL-modified ferrocene, 2,2′:5′,2′′-terthiophene (TT), and a specialized dithiafulvenyl-substituted pyrene (bis(dithiafulvenyl)pyrene). The research first focused on TT polymerization and the reduction of AuCl₄σ¯ to Au NPs to generate a flexible electrocatalytic composite thin film. The results showed that high aqueous phase pH facilitated the polymerization reaction and the half-wave potential of the electron transfer wave shifted to lower potentials, indicating improved thermodynamics. Furthermore, the study found that the capacitive nature of the interface increased, and the resistance towards simple ion transfer increased with increasing [TT], pH, and potential cycling. Later the metal salt was replaced with copper sulfate to study the formation of Cu NP/poly-TT nanocomposite thin films at different interfacial sizes. The data revealed that the film formed quickly, but the interfacial reaction did not proceed without an applied potential. Preliminary electrocatalysis results showed that the nanocomposite-modified large glassy carbon electrode had a >2× increase in CO₂ reduction currents compared to an unmodified electrode. Finally, the electropolymerization of bis(dithiafulvenyl)pyrene with KAuCl₄(aq) was studied. The study found that miniaturization of the immiscible micro liquid|liquid interface facilitated external potential control and limited the reaction pathway to heterogeneous electron transfer across the interface. This method of nanocomposite film generation provides a low overpotential, controlled alternative to large-scale film generation, making it an attractive option for materials chemistry, electrocatalysis, and as soft electrodes for bioimplantation. The chapter dedicated to conclusions and future work provides a comprehensive analysis of the findings and identifies potential avenues for future research in this field.

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 score0.002
Threshold uncertainty score0.005

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 integrity0.0000.001
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 head0.034
GPT teacher head0.273
Teacher spread0.239 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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