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Record W4388851140 · doi:10.1002/slct.202303193

Decomposition Kinetics of Perfluoro‐(4‐methyl‐2‐pentene) (C <sub>6</sub> F <sub>12</sub> ) and its Extinguishing Performance Study

2023· article· en· W4388851140 on OpenAlexaboutno aff
Xingyu Wang, Qiuchi Ji, Xiao Zhang

Bibliographic record

VenueChemistrySelect · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsIsomerizationDecompositionKineticsReactivity (psychology)ChemistryIsopropylRadicalChemical kineticsMedicinal chemistryComputational chemistryPhysical chemistryOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Abstract The urgent desire for Halon substitution has initiated the development of potential environment friendly alternatives since the Montreal Protocol and subsequent amendments were introduced. Atmospheric degradable agents such as halogenated alkenes, fluorinated ketones and cyclic compounds have been extensively studied. Among them, perfluoro‐(4‐methyl‐2‐pentene) (C 6 F 12 ) has an analogous structure to C 6 F 12 O (Novec 1230) and has been regarded as one kind of potential substitute. In this paper, the main decomposition kinetics of C 6 F 12 are studied numerically. In addition, the interactions between C 6 F 12 and flames are studied experimentally. The results show that the suppression effectiveness of C 6 F 12 is comparable to C 6 F 12 O, and the temperature rise is not obvious. The low chemical reactivity is believed to be caused by the perfluorinated methyl and isopropyl groups adjacent to olefinic carbon decreasing the reactivity of C 6 F 12 toward OH radicals. Chemical kinetics simulation indicates that H‐induced reactions dominate the initial decomposition of C 6 F 12 , and a lot of isomers will be formed via a series of isomerization reactions and subsequent decomposition reactions at high temperature. These findings suggest the promising applicability of C 6 F 12 and worth further study.

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)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.226
Teacher spread0.211 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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