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Record W4380301922 · doi:10.1139/cjc-2022-0279

Preparation of HMX@NPBAs microparticles by coating process with improved mechanical properties, thermal stability, and safety performance

2023· article· en· W4380301922 on OpenAlexvenueno aff
Kanghui Jia, Pengfei Wu, Wu-Li Qin, Yanwu Yu, Suming Jing, Gui-Min Cheng, Yucun Liu

Bibliographic record

VenueCanadian Journal of Chemistry · 2023
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsnot available
Fundersnot available
KeywordsCoatingExplosive materialPolymerThermal stabilityAmmunitionChemical engineeringScanning electron microscopeChemistryForce spectroscopyComposite materialReliability (semiconductor)Energetic materialNanotechnologyMaterials scienceAtomic force microscopyThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

Polymer-bonded explosives (PBXs) played a critical role in lethality and destruction as a vital military explosive in the world. Unfortunately, the current PBXs exhibit poor properties in safety performance and reliability for the weak interfacial surface, which cannot meet requirements of the high security and high reliability of weapons and ammunition in the harsh environment of modern battlefields. Herein, the neutral polymeric bonding agents (NPBAs) were successfully coated on the surface of 1,3,5,7-tetranitro-1,3,5,7-tetraazacyclooctane (HMX) and proved to enhance the mechanical performance and reliability of PBXs. The scanning electron microscopy images indicated a slight aggregation of NPBAs coated in the HMX surface, the XRD spectra of HMX@NPBAs had an analogous spectrum of HMX, and the X-ray photoelectron spectroscopy spectrum confirmed that the NPBAs played a role on the surface of HMX by coating. Furthermore, the HMX coated with NPBAs had more excellent safety performance, thermal stability, and mechanical properties. The strategy is helpful to strengthen the interaction between HMX and binder matrix, which provides a brilliant idea in modifying for the weak interfacial surface of energetic crystals.

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.

How this classification was reachedexpand

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 score0.008
Threshold uncertainty score0.199

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 head0.007
GPT teacher head0.184
Teacher spread0.176 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2023
Admission routes1
Has abstractyes

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