Effects of plasma surface modification of Mg-2Y-2Zn-1Mn for biomedical applications
Bibliographic record
Abstract
Magnesium (Mg) alloys have emerged as promising materials for biodegradable implants in orthopedic, oral, and cardiovascular applications. Despite their potential, high corrosion rate, and release of diatomic hydrogen in the surrounding environment remain the unmet challenges. In this research, oxygen plasma ion immersion implantation (O-PIII) was investigated in an attempt to modify the degradation rate of Mg-2Y-2Zn-1Mn alloy. In particular, the effects of pulse duration (tpd) and pressure (p) on the degradation rate were investigated. For all the investigated conditions, plasma treatment enriched the surface chemical composition with O, forming a Mgand Y- rich oxide layer. Mg and Y elements were mainly concentrated at grain boundaries. The concurrent phenomena of sputtering and energetic implantation led to crystalline Y2O3 formation. Electrochemical investigations confirm that the degradation rate of samples decreased significantly, from ~0.23 mm/y for untreated to ~0.07 mm/y for O-PIII conditions. These findings demonstrate the effectiveness of O-PIII in changing surface properties and controlling corrosion rate of Mg alloys.
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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".