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Sintering Silicon Nitride Ceramics in Air

2005· article· en· W2079284759 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the American Ceramic Society · 2005
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSinteringMaterials scienceSilicon nitrideCeramicMicrostructureNitrideGrain boundarySiliconCrystallizationPhase (matter)MetallurgyVolume fractionGrain sizeMineralogyComposite materialChemical engineeringChemistryLayer (electronics)

Abstract

fetched live from OpenAlex

Silicon nitride (Si 3 N 4 ) ceramics, prepared with Y 2 O 3 and Al 2 O 3 sintering additives, have been densified in air at temperatures of up to 1750°C using a conventional MoSi 2 element furnace. At the highest sintering temperatures, densities in excess of 98% of theoretical have been achieved for materials prepared with a combined sintering addition of 12 wt% Y 2 O 3 and 3 wt% Al 2 O 3 . Densification is accompanied by a small weight gain (typically <1–2 wt%), because of limited passive oxidation of the sample. Complete α‐ to β‐Si 3 N 4 transformation can be achieved at temperatures above 1650°C, although a low volume fraction of Si 2 N 2 O is also observed to form below 1750°C. Partial crystallization of the residual grain‐boundary glassy phase was also apparent, with β‐Y 2 Si 2 O 7 being noted in the majority of samples. The microstructures of the sintered materials exhibited typical β‐Si 3 N 4 elongated grain morphologies, indicating potential for low‐cost processing of in situ toughened Si 3 N 4 ‐based ceramics.

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)0.001
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 score0.040
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.008
GPT teacher head0.253
Teacher spread0.244 · 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