Development of biodegradable Fe-Mn thin structures by electroforming in deep eutectic solvents
Bibliographic record
Abstract
Fe-Mn alloys represent promising candidates for temporary biomedical intravascular implants with a thin structure (e.g., coronary, cerebral and peripheral stents) due to their high mechanical strength, acceptable biocompatibility, and controllable corrosion rate. Traditionally, these devices are produced by casting followed by thermo-mechanical processing, i.e. a time- and energy-intensive top-to-bottom approach. This study explores electroforming as an alternative method to fabricate bottom-to-top thin Fe-Mn structures using ethylene glycol-based deep eutectic solvents (DESs). Glycine was introduced as a complexing agent to enhance Mn co-deposition. Electroforming was investigated in presence of three glycine concentrations (0.2, 0.4, and 0.6 M), and the the microstructure, composition, corrosion behavior, and cytocompatibility of the developed thin (50-85 µm) structures were characterized. Higher glycine content improved Mn incorporation, crystallinity, hardness and increased corrosion rate. These findings support the use of DES-based electroforming as a promising route for fabricating biodegradable Fe-Mn devices with tunable properties.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".