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Record W2081168690 · doi:10.1149/1.3268380

Theoretical Study of pH Stability of Azomethine Based on Hardness Calculations

2009· article· en· W2081168690 on OpenAlexaff
A. Cuán, Manuel Palomar‐Pardavé, Silvia Corona‐Avendaño, Carlos M. Cortés-Romero, M. Romero‐Romo

Bibliographic record

VenueECS Transactions · 2009
Typearticle
Languageen
FieldEngineering
TopicMetal and Thin Film Mechanics
Canadian institutionsIngredion (Canada)
Fundersnot available
KeywordsProtonationMoleculeChemistryHOMO/LUMOComputational chemistryQuantum chemicalCrystallographyOrganic chemistryIon

Abstract

fetched live from OpenAlex

The behavior of neutral and protonated azomethine has been investigated by means of quantum-chemical calculations of its structural and electronic properties. The most stable structural configuration has been optimized at the B3LYP/6311G (d,p) level of theory where a dihedrical angle of 24 degrees from the molecule base C-C-N-C has been obtained. The distribution of the HOMO and LUMO isosurface of both neutral and protonated azomethine molecules was also obtained and discussed. Hardness values of the species involved show that protonated azomethine is more reactive than neutral since its softness value is higher than the latter species which indicates protonated species is more susceptible to chemical transformation or self-decomposition. Furthermore, the IR spectra of the species aforementioned were successfully calculated and reproduced in order to compare both chemical systems in detail.

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 categoriesInsufficient payload (model declined to judge)
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 score0.323
Threshold uncertainty score1.000

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)0.0010.000

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 head0.018
GPT teacher head0.237
Teacher spread0.219 · 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.

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
Published2009
Admission routes1
Has abstractyes

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