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Record W4213162027 · doi:10.6000/1929-5030.2022.11.05

Electrocatalytic Properties of Fe-Cu Composites Prepared on the Basis of the Reduced Copper (II) Ferrite

2022· article· en· W4213162027 on OpenAlex
Yakha A. Vissurkhanova, N. M. Ivanova, Yu. A. Soboleva, L.K. Abulyaissova, Boris F. Minaev

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Applied Solution Chemistry and Modeling · 2022
Typearticle
Languageen
FieldChemistry
TopicNanomaterials for catalytic reactions
Canadian institutionsnot available
Fundersnot available
KeywordsCopperFerrite (magnet)Polyvinyl alcoholElectrochemistryMaterials sciencePolymerChemistryChemical engineeringInorganic chemistryComposite materialMetallurgyElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

Copper ferrite (CuFe2O4) samples were prepared by the co-precipitation method without and in the presence of a polymer stabilizer (polyvinyl alcohol, PVA) followed by heat treatment at 500, 700, and 900°C and electrochemical reduction. The structure and morphological features of the samples were investigated by X-ray phase analysis and electron microscopy. It was established that copper (II) ferrite is reduced in an electrochemical system with the formation of Fe-Cu composites with different content of reduced metals, which is influenced by the heat treatment temperature. Copper ferrite prepared with the use of the polymer stabilizer is partially reduced during thermolysis, additionally in an electrochemical cell. The Fe-Cu composites were employed as electrocatalysts in the electrohydrogenation of p-nitrobenzoic acid and exhibited good activity in this process. To study the interaction in the CuFe2O4 + PVA complexes, the quantum-chemical calculations were performed using the density functional theory methods for the simplified metal-containing systems (atoms and ions of copper (II), iron (III), Cu2, Fe2 molecules) as well as dimers and trimers modeling the structure of polyvinyl alcohol.

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.

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 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 score0.007
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.225
Teacher spread0.198 · 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