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Record W1989526432 · doi:10.1080/05704928.2010.529627

A Simple Method for Initial Condensed-Phase Combustion Reactions Predictions

2011· article· en· W1989526432 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

VenueApplied Spectroscopy Reviews · 2011
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsConcordia University
Fundersnot available
KeywordsCombustionPhase (matter)Work (physics)LimitingStatistical physicsChemistrySimple (philosophy)QuantumEnergetic materialChemical physicsThermodynamicsProcess engineeringPhysicsPhysical chemistryExplosive materialOrganic chemistryMechanical engineeringQuantum mechanicsEngineering

Abstract

fetched live from OpenAlex

Abstract Combustion modeling of energetic materials has undergone a tremendous amount of development in recent years. Gas-phase combustion properties predictions are possible and have been shown to agree with experimental results. For solid energetic materials, the gasification reaction products must be determined if gas-phase models are to be applied. The majority of actual models still involve a guessing step for gasification products due to the lack of knowledge in the condensed phase. Quantum dynamical calculations are presently the only way to predict initial condensed-phase reactions but require tremendous computing power, thus limiting their application. In this work, an empirical method that uses spectroscopic measurements of energetic molecules as the source for the complete modal molecular picture is presented. The method enables a qualitative prediction of the first combustion reaction in the condensed phase. The application of the methods with nitrocellulose and nitroguanidine shows that it predicts initial reactions matching the current ideas used in modeling.

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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.515
Threshold uncertainty score0.797

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)0.0010.000

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 head0.048
GPT teacher head0.333
Teacher spread0.285 · 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