MétaCan
Menu
Back to cohort
Record W1965246743 · doi:10.1016/j.mspro.2014.07.079

Thermal Analysis and Nanoindentaion Studies on Nanocrystalline AlCrNiFeZn High Entropy Alloy

2014· article· en· W1965246743 on OpenAlex
C. Sajith Babu, N.T.B.N. Koundinya, K. Sivaprasad, Jerzy A. Szpunar

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

VenueProcedia Materials Science · 2014
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMaterials scienceNanocrystalline materialAlloyCrystalliteMetallurgyComposite materialNanotechnology

Abstract

fetched live from OpenAlex

The nanocrystalline AlNiFeCrZn pentanary high entropy alloy was synthesised by mechanical alloying (MA) and characterised by XRD, SEM and TGA. The AlNiFeCrZn high entropy alloy is mainly BCC structure with a crystallite size less than 10nm in as milled condition. It retained its nanosrtructure at elevated temperature of 850 oC and it is found to be thermally stable without phase transformation. The 30 hr milled AlNiFeCrZn alloy powder was consolidated using hot compaction unit at 850 oC for 2hr. From Nanoindendation measurements on consolidated samples, hardness and Young's modulus values are found to be 7.427 and 153.03 GPa respectively.

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 score0.019
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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