Thermal Stability of Nanostructured Electrodeposits
Bibliographic record
Abstract
As a result of their unique, but well-behaved structure-property relationships, porosity free nanostructured electrodeposits in the form of thin and thick coatings, free-standing sheet, foil or wire, and complex shapes, are rapidly finding applications in many different areas. Because of the large driving force for grain growth in these materials, however, their thermal stability may be a critical issue for some applications. This paper reviews previous grain growth studies of \nnanostructured electrodeposits. Thermal stability has been evaluated using several different experimental approaches. Calorimetric studies of nanocrystalline nickel based electrodeposits have shown a general trend of increasing thermal stability by alloying with either P or Fe. There is, however, little agreement between the various studies in terms of suggested growth mechanisms. \nIndeed, because of the large range of annealed structures obtained from different annealing treatments, several distinct growth mechanisms have been suggested. Recent grain growth studies of nanostructured Ni electrodeposits, covering a much broader range of annealing conditions than used before, have shown that the multiple types of previously reported annealed structures are in fact the product of a multi-staged growth process.\n
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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) | 0.001 | 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".