Calorimetric investigation of structural relaxation of bulk metallic glasses
Bibliographic record
Abstract
Enthalpy and entropy changes on structural relaxation of Mg65Cu25Tb10 glass have been studied after keeping its samples for varying periods of time ta at several temperatures Tas, and after keeping for fixed ta at various Tas. At a fixed Ta, the decrease in the enthalpy and entropy occurred with time according to a non-exponential kinetics. When the sample was kept for the same ta, but at different Tas, the decrease in the enthalpy and entropy showed a peak at a temperature when the sample reached an equilibrium state for that ta. The rate of heat release from the DSC heating scan was analyzed in terms of the model for non-exponential, non-linear enthalpy relaxation. A single set of parameters that fitted the data for un-annealed glass did not fit the data for the highly annealed glass. This is expected in view of the approximations made in the model and the contribution from the Johari-Goldstein (JG) relaxation. It is shown that the distribution of relaxation times leads to memory effect for a glass sample of complex thermal history. This has been investigated by measurement of the enthalpy change on structural relaxation of two bulk metallic glasses, Mg65Cu25Tb10 and Zr46.75Ti8.25Cu7.5Ni10Be27.5 by DSC using two-step annealing temperature procedure. The memory effect was observed as an increase in enthalpy with time and then a decrease.
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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 | 0.001 |
| 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 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".