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Record W2134569483 · doi:10.1021/jp0757762

Electrochemical Deposition of Chromium Core−Shell Nanostructures on H−Si(100):  Evolution of Spherical Nanoparticles to Uniform Thin Film without and with Atop Hexagonal Microrods

2007· article· en· W2134569483 on OpenAlexaff
Lei Zhao, A. C. Siu, L. J. Pariag, Zhiquan He, K. T. Leung

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2007
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNanoparticleMaterials scienceElectrolyteChemical engineeringNanotechnologyNanostructureParticle (ecology)MetalShell (structure)ChromiumElectrochemistryElectrodeMetallurgyComposite materialChemistryPhysical chemistry

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Electrodeposition in Cr(VI) and Cr(III) aqueous electrolytes is found to produce, respectively, granular and spherical core−shell nanoparticles on H-terminated Si(100). For the granular nanoparticles obtained by electrodeposition in CrO 3 and H 2 SO 4 electrolyte solution, both the morphology and number density remain discernibly similar while the particle size increases with increasing charge transfer. In the CrCl 3 electrolyte, evolution of the spherical nanoparticles to homogeneous Cr films without and with atop hexagonal microrods with increasing charge transfer is observed. The viability of producing a homogeneous Cr film on the Si substrate is therefore demonstrated. Both the granular Cr nanoparticles and the Cr film consist of predominantly Cr metallic core and Cr 2 O 3 outer shell covered by surface CrO 3, while the novel hexagonal microrods are made up of a metallic Cr core and a CrOOH shell.

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 score0.004

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 head0.004
GPT teacher head0.217
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

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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry C→Same topicElectrocatalysts for Energy Conversion→French-language works237,207→