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Record W2469751899 · doi:10.1139/cjc-2016-0274

Hydroxide derivatives of tetrazole: computational design approach for high-energy materials

2016· article· en· W2469751899 on OpenAlexvenueno aff
Alka Devi, Vikas D. Ghule

Bibliographic record

VenueCanadian Journal of Chemistry · 2016
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsnot available
Fundersnot available
KeywordsDetonationTATBExplosive materialTetrazoleChemistryEnergetic materialDetonation velocityStandard enthalpy of formationAmmonium nitrateHydroxideAmmonium hydroxideWork (physics)CombustionNitrogenFuroxanChemical engineeringInorganic chemistryOrganic chemistryThermodynamics

Abstract

fetched live from OpenAlex

Based on the backbone of the nitrogen-rich triazole and tetrazole structure, their N–OH derivatives were designed to improve the properties of energetic materials. This work introduces five novel nitrogen-rich derivatives and their energetic salts as high-performance compounds. Reliable methods and correlations are used to predict the heat of formation, density, detonation, and combustion properties and explosive power. The predicted energetic properties are also compared with well-known explosives, TNT, TATB, RDX, and HMX, to evaluate the performance. A majority of the designed salts exhibited high positive heats of formation, good detonation properties, and high explosive power. Ammonium, hydrazinium, and hydroxylammonium salts (1–3), which have relatively high densities (over 1.86 g/cm 3 ), resulted in good detonation velocities (above 9.0 km/s) and pressures (above 35 GPa), making them competitive energetic materials.

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: none
Teacher disagreement score0.515
Threshold uncertainty score0.257

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 head0.009
GPT teacher head0.173
Teacher spread0.163 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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