Morphology, Chemical Composition, and Electrochemical Characteristics of Colored Titanium Passive Layers
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Bibliographic record
Abstract
Brightly and uniformly colored passive layers on Ti are formed by application of ac polarization in aqueous NH 4 BF 4 . A wide spectrum of well-defined colors is accomplished by varying the ac voltage. The passive films are stable in the ambient and in aqueous chloride, perchlorate, and sulfate solutions. Optical microscopy and scanning electron microscopy analyses indicate that the passive layers are compact and do not show fractures or cracks. An X-ray photoelectron spectroscopy (XPS) characterization of the colored passive layers demonstrates that their surface-chemical composition depends on the ac polarization voltage. The main constituents of the passive layers are Ti z +, O 2 -, and F - ( z varies from 4 to 2 depending on the film's depth). Fluoride in the film originates from decomposition of NH 4 BF 4, and it accumulates at the inner metal/passive-film interface. XPS depth profiling shows that the higher the ac voltage applied, the thicker the passive film formed. Electrochemical properties of the colored Ti passive layers are determined by recording polarization curves in the −0.8 to 3.2 V range as well as Tafel plots in the hydrogen evolution reaction (HER) region in 1.0 M aqueous H 2 SO 4 . The polarization curves show that the corrosion potential of the colored passive layers shifts toward less-negative potentials indicating that they are more stable than Ti under the same conditions. The passive region for the colored layers resembles that for Ti. The Tafel plots for the HER demonstrate that the passive layers have higher activity toward the HER than Ti. The Tafel relations reveal new features that can be associated with the partial breakdown/decomposition of the passive layers, H absorption, and the onset of Ti hydride formation.
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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