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Record W2076690503 · doi:10.1139/cjc-2014-0526

Quasi-classical trajectory study of the reaction dynamics of calcium ground state and metastable atoms with CH<sub>2</sub>Cl<sub>2</sub>

2015· article· en· W2076690503 on OpenAlexvenueno aff
Yang Ding, Wenwen Xia, Liguo Song, Li Yao

Bibliographic record

VenueCanadian Journal of Chemistry · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryMetastabilityReaction rate constantPotential energy surfaceAtomic physicsGround stateAtom (system on chip)Potential energyReaction dynamicsProduct (mathematics)Physical chemistryComputational chemistryMoleculeKineticsPhysicsQuantum mechanicsGeometry

Abstract

fetched live from OpenAlex

The dynamics properties of the Ca(1S0,3P) + CH2Cl2 reaction system have been calculated by means of the quasi-classical trajectory method based on the extended London–Eyring–Polanyi–Sato potential energy surface. By the calculations, the vibrational distribution, reaction cross section, rotational alignment, and reaction rate constant are obtained. The peak location of vibrational quantum numbers is at ν = 0 when the collision energy is 2.302 kcal/mol, whether the calcium atom is at the ground state or metastable state. The product vibrational distribution agrees well with the experiment value in Han, K. L.; He, G. Z.; Lou, N. Q. Chem. Phys. Lett. 1991, 178, 528. The cross section thoroughly decreases with the increase of the collision energy. The rotational alignment of the product greatly deviates from –0.5. The reaction rate constant increases with rising temperature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2015
Admission routes1
Has abstractyes

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