Part 3. Theoretical study on some amino acids and their potential activity as corrosion inhibitors for mild steel in HCl
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Quantum chemical parameters, namely energy of the highest occupied molecular orbital, energy of the lowest unoccupied molecular orbital, energy gap, dipole moment, total energy, total electronic energy, core–core repulsion, ionisation potential, cosmo area, cosmo volume and other quantum descriptors [calculated from PM6, PM3, AM1, RM1 and modified neglect of diatomic overlap (MNDO) Hamiltonians], have been used to predict the corrosion inhibition potential of asparagine, aspartic acid, glutamine and glutamic acid. The results obtained indicate that the trend for the variation of the inhibition efficiencies of the compound is in the order: glutamine>asparagine>aspartic acid>glutamic acid. There is a strong agreement between some quantum chemical parameters and the experimental inhibition efficiencies. In order to establish the sites for electrophilic and nucleophilic attacks, condensed Fukui function, condensed softness and relative nucleophilicity/electrophilicity were considered. The results reveal that the sites for nucleophilic attacks in aspartic acid and glutamine are at the nitrogen atom (N5) but at the carbon atom (C3) for asparagine and glutamic acid. The sites for electrophilic attacks are at the oxygen atom (O9, for aspartic acid), carbon atom (C6, for asparagine), oxygen atom (O10, for glutamic acid) and nitrogen atom (N9, for glutamine). Keywords: corrosioninhibitorsamino acidsquantum chemical studydensity functional theory Acknowledgement The author is grateful to Dr Stanislav R. Stayanov of the Institute of Nanotechnology, National Research Council of Canada, Canada for leading him through the basis and principles of computational chemistry.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it