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Record W4407310512 · doi:10.1021/acs.jpclett.4c03442

Exploring Nuclear Spin Conservation in the CH<sub>2</sub> + H<sub>2</sub> Reaction

2025· article· en· W4407310512 on OpenAlexafffund
Yuki Miyamoto, Masaaki Tsubouchi, Takamasa Momose

Bibliographic record

VenueThe Journal of Physical Chemistry Letters · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum, superfluid, helium dynamics
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsSpin (aerodynamics)PhysicsNuclear reactionNuclear physicsAtomic physicsThermodynamics

Abstract

fetched live from OpenAlex

Nuclear spin angular momentum in molecules with identical nuclei is conserved in many physical and chemical processes, but its role in chemical reactions involving atomic rearrangements remains underexplored. In this study, we investigate the nuclear spin selection rules in the reaction between methylene (CH 2 ) and hydrogen (H 2 ) using high-resolution infrared spectroscopy in quantum solid parahydrogen. Our results show that in the triplet methylene ( 3 CH 2 ) reaction, the nuclear spin distribution of the products matches perfectly with the expected nuclear spin selection rules for the stepwise reaction mechanism. In contrast, in the excited singlet methylene ( 1 CH 2 ) reaction, the nuclear spin states of the methane product deviate from those predicted with a simple direct insertion mechanism. This deviation likely results from hydrogen atom dissociation due to the excess energy of the excited methane product or from a competitive process between relaxation to triplet methylene and stabilization of the methane product. Notably, our findings confirm that nuclear spin conservation is maintained even in reactions involving intermediates with unpaired electron spins such as methylene. This demonstrates the importance of detecting nuclear spin states as a powerful tool for revealing the details of reaction mechanisms, particularly in processes related to hydrocarbon combustion and planetary atmospheric chemistry.

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)0.001
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 score0.713

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.230
Teacher spread0.213 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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