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Record W2625796490 · doi:10.1002/cjce.22923

Hydrogenation of aromatics compounds: Calculation of thermodynamic properties using molecular index connectivity

2017· article· en· W2625796490 on OpenAlexvenueno aff
Bruno M. Santos, José Luiz Zotin, Papa M. Ndiaye, Mônica A. P. da Silva

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2017
Typearticle
Languageen
FieldChemistry
TopicChemical Thermodynamics and Molecular Structure
Canadian institutionsnot available
Fundersnot available
KeywordsDecalinTetralinNaphthaleneTopological indexThermodynamicsChemistryQuantitative structure–activity relationshipEnthalpyGibbs free energyStandard enthalpy of formationStandard enthalpy change of formationHeat capacityMoleculeComputational chemistryPhysical chemistryOrganic chemistryStereochemistrySolventPhysics

Abstract

fetched live from OpenAlex

Abstract In this work, calculation of relevant thermodynamics properties, for hydrogenation reaction of aromatics compounds, was performed using the approach of molecular topology. Among the several molecular topological indexes, the molecular connectivity indexes have been used widely for calculation methods like quantitative structure properties relationships (QSPR) and quantitative structure and activity relationships (QSAR). Standard enthalpy of formation (ΔH° f ), standard Gibbs free energy of formation (ΔG° f ), and heat capacity at constant pressure (C p °) at 298.15 K for naphthalene, 1‐methylnaphthalene, 2‐methylnaphthalene, tetralin, and t ‐decalin and equilibrium reaction constants were calculated and compared with experimental data reported in literature. Additionally, the results obtained for naphthalene, tetralin, and t‐ decalin were compared to those obtained from Benson's method. Results show that the thermodynamics properties calculated from molecular connectivity index presented an error less than 2 % and are closer to experimental data than those from Benson's method, showing that molecular connectivity index is a promising tool for estimation of thermodynamic properties to be used in design of chemical process.

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 score0.284
Threshold uncertainty score0.375

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 science0.0000.000
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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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