Effects of Nitrogen and Hydrogen Plasma Treatments on a Mg‐2Y‐1Zn‐1Mn Resorbable Alloy
Bibliographic record
Abstract
ABSTRACT Mg alloys have recently been investigated and optimized for the development of biodegradable implants for orthopedic, dental, vascular, and other applications. However, their rapid degradation in a physiological environment remains the main obstacle to their development. In this work, the effects of nitrogen and hydrogen plasma treatments on the surface properties and corrosion behavior of an Mg‐2Y‐1Zn‐1Mn (WZM211) alloy were investigated. Plasma treatment effectively modified the surface of a WZM211 alloy by removing the original oxide layer, followed by the formation of a new surface layer with controlled composition, thickness, and wettability. The water contact angle decreased from 100° to 17° after nitrogen plasma and to 45° after hydrogen plasma treatment. The nitrogen plasma treatment, shortly N‐Plasma, resulted in the lowest corrosion rate (CRN = 0.038 ± 0.010 mm/y) if compared with the hydrogen plasma treatment, shortly H‐Plasma (CRH = 0.044 ± 0.003 mm/y) and untreated samples (0.233 ± 0.097 mm/y). The results demonstrate the potential of nitrogen and hydrogen plasma treatment for the development of resorbable Mg‐based implants.
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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) | 0.001 | 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".