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Record W2153339656 · doi:10.1139/cjc-2014-0433

Intermolecular interactions, thermodynamic properties, crystal structure, and detonation performance of CL-20/TEX cocrystal explosive

2015· article· en· W2153339656 on OpenAlexvenueno aff
Pengyuan Chen, Lin Zhang, Shunguan Zhu, Guangbin Cheng

Bibliographic record

VenueCanadian Journal of Chemistry · 2015
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsCocrystalChemistryDetonation velocityDetonationNatural bond orbitalIntermolecular forceHydrogen bondCrystallographyLattice energyCrystal structureDensity functional theoryExplosive materialCrystal structure predictionBond-dissociation energyMonoclinic crystal systemComputational chemistryMoleculeThermodynamicsPhysical chemistryDissociation (chemistry)Organic chemistry

Abstract

fetched live from OpenAlex

Density functional theory calculation was performed to investigate the intermolecular interactions, thermodynamic properties, crystal structure, and detonation performance of CL-20 (2,4,6,8,10,12-hexanitrohexaazaisowurtzitane)/TEX (4,10-dinitro-2,6,8,12-tetraoxa-4,10-diaza-tetracyclododecane) cocrystal explosive. The results of natural bond orbital (NBO) and atoms in molecules analysis show that unconventional CH···O type hydrogen bonds and dispersion force are the main driving forces for the cocrystal formation. Monte Carlo simulation was employed to predict the crystal structure of the CL-20/TEX cocrystal. The cocrystal is most likely to crystallize in a monoclinic system (space group C2/C), with cell parameters a = 40.62 Å, b = 7.35 Å, c = 41.36 Å, and β = 157.38°. Based on crystal density, chemical energy, and heat of formations, detonation performance was calculated using Kamlet–Jacobs formulas. Detonation velocity and pressure of the CL-20/TEX cocrystal are higher than those of TEX but a litter lower than those of CL-20. Bond dissociation energy analysis shows that the cocrystal is thermal stable and meets the requirement of high energy density 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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.287

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 head0.168
Teacher spread0.160 · 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

Citations20
Published2015
Admission routes1
Has abstractyes

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