The effect of atmospherically formed films on copper corrosion properties using single droplet electrochemistry
Bibliographic record
Abstract
• The combinatory microdroplet setup enabled concurrent monitoring of electrochemical parameters and wettability. • Microscale corrosion measurements revealed differences in corrosion parameters not observed in macroscale experiments. • R p increased with surface roughness due to lower hydroxide and defect oxide levels. • Rough copper surfaces show lower R p than smooth samples after 30-day exposure. This study explored the effects of atmospherically formed surface films and surface roughness on Cu corrosion behavior. A comprehensive suite of surface analysis techniques, including X-ray photoelectron spectroscopy, scanning electron microscopy, contact angle measurements, and confocal microscopy, were utilized to characterize the physicochemical properties of the surface films formed over 30 days. Then, both macroscale and droplet electrochemical measurements, such as open circuit potential and linear sweep voltammetry, were performed to explore the films’ effects on the aqueous and atmospheric corrosion behavior of Cu respectively. The results showed that the polarization resistance measured within the droplets was lower than that observed in macroscale experiments, attributable to the varying oxygen diffusion profiles. During atmospheric corrosion, the polarization resistance was dependent on the surface finish due to its impact on the film's composition. Surface characterization revealed the formation of hydroxide and defect oxides that varied between the different surface finishes, resulting in differences in polarization resistances over a 30-day period. However, the films did not affect the polarization resistance measured for samples that underwent aqueous electrochemical corrosion testing, possibly due to their solubility during the open circuit potential period prior to reaching a steady state. This study underscores the importance of surface films on atmospheric corrosion properties and brings skepticism to the need for cathodic cleaning of Cu during aqueous corrosion studies under aerated conditions.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".