Zn-Mn-Mg alloy with superior mechanical properties and antibacterial performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Zn-Mn alloys are particularly promising biodegradable implant materials, but they are plagued by poor mechanical performance. In this work, a Zn-Mn alloy with ultrahigh strength and excellent ductility was achieved through addition of trace Mg (0.1 wt%) and equal channel angular pressing (ECAP). Specifically, the ECAP processed Zn-0.5Mn-0.1 Mg alloy exhibits an ultimate tensile strength (UTS) of 428 MPa, which is highest ever achieved in Zn-Mn-based alloys, along with a good elongation (EL) of 39%. In addition, the alloy exhibits excellent antibacterial performance against Staphylococcus aureus ( S. aureus ) and Escherichia coli ( E. coli ). Trace Mg addition results in the formation of Mg 2 Zn 11 and MgZn 2 nano-precipitates in the alloy, which effectively pins grain growth during dynamic recrystallization (DRX) and postpones the inverse Hall–Petch relation. Consequently, the alloy possesses quite fine grains of an average grain size (AGS) of 0.71 μm, much smaller than that of its counterpart without Mg (AGS = 2.54 μm). The ultrahigh strength of the alloy is mainly ascribed to grain boundary strengthening and precipitation strengthening. The remarkable ductility of the alloy is related to deformation twinning suppression, pyramidal < c + a > slip activation, and low dislocation density.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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