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Lattice Relaxation in Ni-P Amorphous Alloy Accompanied with Growth of Ni<sub>3</sub>P Nanocrystals

2007· article· en· W2093401220 on OpenAlexaff
Shun-ichiro Tanaka, Jun Takioto, Sang Koo Kwon, Kōzō Shinoda, Shigeru Suzuki

Bibliographic record

VenueMaterials science forum · 2007
Typearticle
Languageen
FieldMaterials Science
TopicPhase-change materials and chalcogenides
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsMaterials scienceExtended X-ray absorption fine structureAmorphous solidAnnealing (glass)CrystallographyHigh-resolution transmission electron microscopyDifferential scanning calorimetryAmorphous metalAlloyDiffractionAnalytical Chemistry (journal)X-ray crystallographyTransmission electron microscopyCrystal structureAbsorption spectroscopyThermodynamicsNanotechnologyOpticsMetallurgyChemistry

Abstract

fetched live from OpenAlex

Studies on lattice change of a nickel-phosphorus amorphous alloy were carried out using not only high temperature X-ray diffraction but also extended X-ray absorption fine structure (EXAFS) analysis. Their thermal properties were characterized by differential scanning calorimetry (DSC). Since the results suggested that lattice relaxation occurred in the amorphous state by annealing, EXAFS measurements were carefully performed for characterizing the local structure of the amorphous alloys. The EXAFS analysis showed that the local structures around Ni atoms, which may be the Ni-Ni and Ni-P correlation, were changed by annealing. High temperature X-ray diffraction showed that small amount of crystal phase appeared by annealing up to 820 K, while clear diffraction peaks of Ni3P were observed above 1100 K. These micro/nanoscale structural changes did not correspond to that obtained by DSC which showed an exothermic reaction of atomistic reordering at 630 K. We need analysis of the nanostructures by small angle X-ray scattering or a high resolution transmission electron microscope.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
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 head0.016
GPT teacher head0.243
Teacher spread0.227 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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