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Record W4414895028 · doi:10.1080/21663831.2025.2566252

Enhancing strength of Al-Mg-Si alloys through direct β′ phase precipitation induced by high-temperature cyclic deformation

2025· article· en· W4414895028 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

VenueMaterials Research Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsMD Precision (Canada)
FundersState Key Laboratory of Powder MetallurgyNational Natural Science Foundation of China
KeywordsPrecipitationNucleationPhase (matter)AlloyDeformation (meteorology)Strengthening mechanisms of materials

Abstract

fetched live from OpenAlex

Seeded dislocations have been reported to favor the formation of more stable precipitates. Herein, we have altered the precipitation sequence in an Al-Mg-Si alloy by inducing dislocations dynamically supplied through high-temperature cyclic deformation, enabling the atomic clusters to directly nucleate and precipitate as high-density β′ phase. Furthermore, the strength of the sample cyclically deformed at 180°C was significantly increased compared to that of the peak-aged sample, demonstrating that β’ phase can serve as an efficient strengthening phase. Our findings provide new insight into achieving more stable phases as the main strengthening phase in age-hardenable alloys.

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 score0.013
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.295
Teacher spread0.279 · 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