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Record W2124091921 · doi:10.1002/qua.560360834

Two approaches to the concept of chemical species: Relations between potential energy and molecular shape

2009· article· en· W2124091921 on OpenAlexaff
Gustavo A. Arteca, Paul G. Mezey

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2009
Typearticle
Languageen
FieldChemistry
TopicMolecular spectroscopy and chirality
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
Keywordsvan der Waals forceCurvatureMaxima and minimaPotential energyInvariant (physics)ChemistryFunction (biology)Representation (politics)Conformational isomerismSimple (philosophy)Molecular dynamicsWork (physics)Computational chemistryPhysicsChemical physicsClassical mechanicsStatistical physicsMoleculeQuantum mechanicsGeometryMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

Chemical species are usually defined in terms of the potential energy function. In this work we explore the relationships between this definition and an alternative one, based on the concept of molecular shape. The molecular shape is given a quantitative expression in the framework of the shape group method. The model representation chosen for the molecular surfaces is the continua of fused-sphere van der Waals surfaces. Simple molecular systems are considered, where the “chemical species” are represented by 1-dimensional potentials as torsional rotamers. It is shown that within well-defined ranges of atomic van der Waals radii and nuclear geometries, the identity of the molecular species, as defined by shape, remains invariant under torsional motions. The number and size of such invariance domains can, under certain conditions, follow closely the regions in configuration space where a rotamer is defined according to the minima and curvature of the potential energy function. These findings provide new tools for the study of the interplay between molecular shape and electronic energy, regarding the recognition of active conformations.

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 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 score0.020
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.028
GPT teacher head0.266
Teacher spread0.238 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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