Oxidation of LiF–Coated Metal Surfaces
Bibliographic record
Abstract
X-ray photoelectron spectroscopy was used to study the growth of oxides on the surface of Al and Mg films with and without a thin LiF coating under ambient conditions. At thicknesses typically used in optoelectronic device cathodes, LiF does not completely cover the surface, likely forming islands on the metal surface. On Al, 10 Å LiF (61% coverage) is sufficient to significantly decrease oxidation. The passivation of Al surfaces is enhanced due to a diffusion dominated oxidation mechanism, with metal ions diffusing through the LiF islands. LiF coated Mg, on the other hand, shows preferential oxidation to form MgCO 3 on the surface. These changes in the oxidation of the surface due to the introduction of a LiF layer can be used to explain the recent results for organic light-emitting devices. Bulk lattice constants can be used as a guide to predicting oxidation resistance, with matching interlayers providing better resistance in devices than nonmatching ones.
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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 | 0.000 |
| 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) | 0.003 | 0.001 |
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".