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Record W1565097843 · doi:10.1063/1.1377603

A restricted dimensionality quasiclassical trajectory study of H2(v,0)+H2(v′,0)

2001· article· en· W1565097843 on OpenAlexafffundabout
M. E. Mandy, T. A. Rothwell, P. G. Martin

Bibliographic record

VenueThe Journal of Chemical Physics · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of TorontoUniversity of Northern British Columbia
FundersBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaUniversity College LondonCanadian Institute for Theoretical Astrophysics
KeywordsIsosceles triangleTetrahedronTrajectoryAb initioPotential energy surfacePotential energyCurse of dimensionalityPhysicsAtomic physicsRange (aeronautics)ChemistryEnergy (signal processing)GeometryQuantum mechanicsMathematicsMaterials science

Abstract

fetched live from OpenAlex

Quasiclassical trajectory calculations for H2(v,0)+H2(v′,0) have been carried out for collisional energies up to 350 mEh in selected geometries to elucidate the dynamical effects of various features in the potential-energy surface. The chemically accurate potential fitted by Keogh (Ph.D. Thesis, Toronto, 1992) to the ab initio points of Boothroyd et al. [J. Chem. Phys. 95, 4331 1991] was used. Geometries considered include isosceles trapezoidal, isosceles tetrahedral, and “T” conformations. For each geometry, representative trajectories are considered and the energy range is sufficient to determine and characterize the probabilities of elastic, inelastic, singly dissociative, and doubly dissociative outcomes. Also determined are the probability of exchange for the isosceles trapezoidal geometry and the probability of three body outcomes for the “T” geometry. The results are discussed in terms of the interaction potential.

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)0.001
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.280
Teacher spread0.257 · 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

Citations14
Published2001
Admission routes3
Has abstractyes

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