High‐Resolution Imaging of the Initial Stages of Oxidation of Cu(111) with Scanning Electrochemical Potential Microscopy
Bibliographic record
Abstract
Abstract Scanning electrochemical potential microscopy (SECPM) is a scanning probe technique for the detection of the electrochemical double‐layer (EDL) potential of a given working electrode (WE). We report the first high‐resolution imaging of the OH adsorbate structure formed on a Cu(111) WE in alkaline solution with SECPM, which reveals a structural parameter of (0.60±0.04) nm that is in excellent agreement with that found with electrochemical scanning tunneling microscopy. The origin of the potential used as a feedback signal in SECPM mode is discussed, focusing on leakage currents detected in the SECPM setup, faradaic reactions in the electrolyte, and electron‐tunneling processes between the tip and the WE. At potential set‐points that are typical for SECPM measurements, the potential detected with the tip is found to originate from a tunneling current. Therefore, the images recorded with SECPM cannot deliver information on the EDL potential at the WE surface in the present case.
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 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 | 0.000 |
| 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) | 0.002 | 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".