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Record W4210927678 · doi:10.1515/ijmr-2003-0209

Young’s modulus in nanostructured metals

2003· article· en· W4210927678 on OpenAlexaff
Yanchun Zhou, U. Erb, K.T. Aust, G. Palumbo

Bibliographic record

VenueInternational Journal of Materials Research (formerly Zeitschrift fuer Metallkunde) · 2003
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsRedlen Technologies (Canada)Integran (Canada)University of Toronto
Fundersnot available
KeywordsMaterials scienceModulusGrain sizeYoung's modulusMicrostructurePorosityComposite materialElastic modulusBulk modulusMetallurgy

Abstract

fetched live from OpenAlex

Abstract The interface effect on Young’s modulus was investigated in electro-deposited fully-dense Ni –P alloys with a relatively constant phosphorus content (2– 3 wt%), but with different grain sizes ranging from 4 to 29 nm. Essentially the same Young’s modulus was observed for grain sizes ≥ 18 nm. A noticeable decrease in Young’s modulus was found at grain sizes ≤ 17 nm. The reduction in Young’s modulus was found to correlate well with the increase in all interface contributions. These observations agree with various studies on other fully-dense metals for grain sizes between 5 and 80 nm. Previously reported large decreases in the Young’s modulus were likely caused by the significant amount of porosity in the microstructure.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.308
Teacher spread0.287 · 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 teacher head, not a consensus.

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

Citations4
Published2003
Admission routes1
Has abstractyes

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