Continuous strengthening in nanotwinned high-entropy alloys enabled by martensite transformation
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Bibliographic record
Abstract
Strengthening by nanotwins in metals has been widely reported to have a limit, i.e., softening occurs when the twin thickness is reduced below a critical value, similar to the Hall-Petch breakdown in nanocrystalline materials. Here we report based on atomistic simulations that such a limit can be eliminated in high-entropy alloys (HEAs) by tuning their composition and the corresponding stacking fault energies. By using nanotwinned ${(\mathrm{CoCrFeMn})}_{1\text{\ensuremath{-}}x}\mathrm{N}{\mathrm{i}}_{x}$ HEA as a model system, our results indicate that continuous strengthening can be enabled in this HEA at Ni concentrations below 44% by martensite phase transformation even when the twin thickness approaches the theoretical minimum (i.e., three-atomic-layers thick). In contrast, at Ni concentration above 44%, a strengthening-softening transition appears in the HEA due to detwinning when the twin thickness decreases, which is similar to that in conventional fcc metals with nanoscale twins. A simple parameter based on the ratio between the energy barriers for detwinning and martensite transformation has been proposed to explain these findings, which should shed some light on a generalized deformation map in nanotwinned metals.
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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) | 0.001 | 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