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Record W4404778752 · doi:10.26434/chemrxiv-2024-sftwx

Dinitroacetylene: Can it be Made?

2024· preprint· en· W4404778752 on OpenAlexaff
Lara Harter, Martin Rahm, Guillaume Bélanger‐Chabot

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldChemistry
TopicOrganic Chemistry Cycloaddition Reactions
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

With a predicted record heat formation, energy density, and an outstanding performance as a rocket propellant, dinitroacetylene stretches the imagination for what is possible in terms of organic chemical explosives and monopropellants. In this study, we employ quantum chemical methods to predict its thermodynamic properties, ionization potential, electron affinity, UV/Vis spectra, NMR, and vibrational spectra, and to investigate proposed decomposition mechanisms. While unimolecular decomposition pathways are predicted to have high activation energies, NOx radical species – commonly present in reaction mixtures of energetic materials – are found to significantly catalyze the decomposition of dinitroacetylene. This catalytic effect may explain previous unsuccessful synthesis attempts. A frontier orbital analysis suggests that partial reduction could increase C–N bond order, offering a strategy to stabilize this elusive high-energy-density material.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.539
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0350.001

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 head0.021
GPT teacher head0.256
Teacher spread0.235 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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