Effect of Buffering on Electrochemical Corrosion Behavior of Alloy 800 in Sulfate Solutions Containing Hydrogen Peroxide
Bibliographic record
Abstract
Abstract Corrosion behavior of Alloy 800 (UNS N08800) in the presence of hydrogen peroxide is important because of its potential application in the future power plants. The aim of this study is to evaluate how local variation of pH alters both the electrochemical reduction of hydrogen peroxide and electrochemical corrosion behavior of Alloy 800 in sulfate solutions. Cathodic polarization test was used to evaluate the kinetics of reduction of hydrogen peroxide. Linear polarization resistance, electrochemical impedance spectroscopy and potentiodynamic polarization tests were used to study the corrosion behavior in presence and absence of buffering agent. The results show that the reduction of hydrogen peroxide in the presence of KH2PO4 as the buffering agent show two cathodic waves while only one cathodic wave is observed in the unbuffered solutions. The polarization resistance obtained by linear polarization resistance method was decreased from 50 kΩ cm2 to 7 kΩ cm2 by introduction of the buffering agent. These results were consistent with the impedance spectra trend.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".