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Record W4384565476 · doi:10.14447/jnmes.v26i2.a04

Investigation of Structural, Compositional and Magnetic Properties of Copper-Nickel Alloy by Electrodeposition

2023· article· en· W4384565476 on OpenAlex

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 New Materials for Electrochemical Systems · 2023
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsnot available
FundersKing Saud University
KeywordsCopperNickelAlloyMetallurgyMaterials scienceNickel alloy

Abstract

fetched live from OpenAlex

The arrangement of various metals in a nanoalloy framework enables the alteration of chemical and physical properties.In this study, the structure, surface,composition and magnetic properties of a copper-nickel alloy thin film that was electrodeposited on a stainless steel substrate at -0.9V and 60 o C are examined.During the deposition of the bath temperature, chemical elements copper forms first, followed by the formation of a bimetallic copper-nickel alloy.A nickel-rich alloy that effectively resists oxidation covers the underlying copper.It was found that the copper-nickel films revealed a face-centered cubic structure with crystallites oriented along the (1 1 1) plane including crystallite size, micro-strain, dislocation density, and stacking fault probability.Morphological and film composition characteristics revealed that the deposited films were well adherent to the surface of the substrate with microcracks and stoichiometric ratio.The magnetic properties of the deposited films were estimated.

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 score0.002
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.235
Teacher spread0.212 · 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