MétaCan
Menu
Back to cohort

Effects of thermal stratification on detonation development in hypersonic reactive flows

2024· article· en· W4401455501 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

VenuePhysical Review Fluids · 2024
Typearticle
Languageen
FieldEngineering
TopicCombustion and Detonation Processes
Canadian institutionsConcordia University
FundersNational Natural Science Foundation of China
KeywordsDetonationAutoignition temperatureHypersonic speedStratification (seeds)MechanicsShock waveFront (military)ThermalMaterials scienceDeflagration to detonation transitionIgnition systemPhysicsThermodynamicsMeteorologyChemistry

Abstract

fetched live from OpenAlex

In this paper, we first examine the wave morphology induced by reactant thermal stratification in hypersonic reactive flows. Three flow regimes are observed: autoignition-driven reaction front, detonation wave, and decoupled shock/reaction front. The results suggest that local autoignition behavior can be significantly influenced by reactivity nonuniformity in the reactive flow; and an undesirable detonation wave can be initiated given a suitable temperature gradient. This also indicates that oblique detonation waves can be generated without mechanical devices such as blunt bodies and wedges.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.268
Teacher spread0.257 · 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