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Record W2063869562 · doi:10.1002/cjce.20187

Study of stability and thermodynamic properties for polychlorinated dihydrophezines by density functional theory

2009· article· en· W2063869562 on OpenAlexvenueno aff
Hong X. Liu, Guo Y. Yang, Zun Y. Wang, Lian S. Wang

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2009
Typearticle
Languageen
FieldChemistry
TopicChemical Thermodynamics and Molecular Structure
Canadian institutionsnot available
Fundersnot available
KeywordsIsodesmic reactionHeat capacityThermodynamicsGibbs free energyChemistryStandard enthalpy of formationEnthalpyThermodynamic databases for pure substancesThermodynamic free energyChemical stabilityPhysical chemistryThermodynamic processPhysicsMaterial properties

Abstract

fetched live from OpenAlex

Abstract The thermodynamic properties of 76 polychlorinated dihydrophezines (PCDPs) in the gaseous state at 298.15 K and 101.325 kPa, have been calculated using the density functional theory (the BHANDHLYP/6‐31G*) with Gaussian 03 program. Based on these data, the isodesmic reactions were designed to calculate the standard formation heat (ΔfHθ), standard Gibbs free energy of formation (ΔfGθ) of PCDPs in the gaseous state. The relations of these thermodynamic parameters with the number and position of chlorine substituents (NPCS) were discussed, and it was found that there exist good correlation between thermodynamic parameters, including heat capacity at constant volume $(C_{\rm v}^\theta )$ , entropy (Sθ), enthalpy (Hθ), free energy (Gθ), ΔfHθ, ΔfGθ, and NPCS. The relative stability order of PCDP congeners was theoretically proposed based on the relative magnitude of their ΔfGθ. In addition, the values of molar heat capacity at constant pressure (Cp,m) for PCDP congeners have been calculated.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.177
Teacher spread0.169 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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