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Record W2375939506 · doi:10.61558/2993-074x.1986

Influence of Nano-Al<sub>2</sub>O<sub>3</sub> Particles in Nickel Electro-crystallization Process

2009· article· en· W2375939506 on OpenAlexaff
Cheng-yu TAN, Wei Hu, Hang CUI, Yu Liu

Bibliographic record

VenueDian hua xue/Dian huaxue · 2009
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsChronoamperometryNucleationDeposition (geology)CrystallizationNickelMaterials scienceSolution of Schrödinger equation for a step potentialCyclic voltammetryChemical engineeringElectrodeAnalytical Chemistry (journal)MetallurgyChemistryElectrochemistryPhysical chemistryChromatography

Abstract

fetched live from OpenAlex

The influence of nano-Al2O3 particles in nickel electro-deposition on copper matrix from acid sulphate solution was studied under various potentials by using cyclic voltammetry(CV) and chronoamperometry(CA).The results show that the beginning potential of electro-deposition was about-740 mV(vs.SCE) for Ni-Al2O3 solution system.With the step-potential moving to the negative direction,the nucleation time of electro-deposition for Ni-Al2O3 solution system was shortened gradually.Compared with that of pure Ni deposition system,the nucleation time tm,corresponding to the peak current of Ni-Al2O3 deposition system was apparently shortened under the lower step-potential:-740~-830 mV,which indicates that Al2O3 particles promote the nucleation process of nickel electro crystallization.Under the step-potential of-890 mV(vs.SCE),the electro-deposition nucleation of Ni-Al2O3 solution system in the initial stage meets the instantaneous Scharifker-Hill model with three-dimensional.

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 score0.003

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 head0.004
GPT teacher head0.204
Teacher spread0.200 · 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
Published2009
Admission routes1
Has abstractyes

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