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Record W2036838606 · doi:10.1002/prep.200600019

Synthesis and Characterization of Deuterated Glycidyl Azide Polymer (GAP)

2006· article· en· W2036838606 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

VenuePropellants Explosives Pyrotechnics · 2006
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsUniversité LavalPolytechnique MontréalDefence Research and Development Canada
Fundersnot available
KeywordsPolymerThermal decompositionDeuteriumPolymerizationDecompositionFourier transform infrared spectroscopyAzideCharacterization (materials science)MonomerChemistryMaterials sciencePolymer chemistryChemical engineeringOrganic chemistryNanotechnology

Abstract

fetched live from OpenAlex

Abstract Decomposition mechanisms of propellants are of great interest in understanding performance issues of chemical propulsion systems. The characterization of physico‐chemical properties of glycidyl azide polymer (GAP), specifically deuterated analogs, was investigated in this study. The purpose of this new approach is to identify the key steps in thermal decomposition mechanism of GAP. The present work shows that the use of deuterated GAP is a good method to study the decomposition pathway of energetic polymers. The polymerization process was successful, but was nevertheless affected by the use of the isotopic monomer since the resulting polymers had a slightly lower molecular weight. The chemical characterization of the deuterated GAPs by NMR and FTIR confirm the structure of these new polymers. The TGA analyses show a larger weight loss during the first step of decomposition for labeled GAP suggesting that molecular nitrogen and heavier compounds are produced simultaneously.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.520

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 head0.008
GPT teacher head0.176
Teacher spread0.168 · 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