UNSTABLE SOLID SOLUTION FORMATION BY REPEATED COLD ROLLING OF Au-Pt MULTILAYERS
Bibliographic record
Abstract
Regular nanometer scale structures of alternating layers of Au and Pt have been produced by a process of repeated rolling, cutting and stacking. When the interlayer spacing is reduced to approximately 6 nm, a process of partial local homogenization is observed resulting in a non-equilibrium, approximately homogeneous, solid solution of Au and Pt. This product was formed at or near room temperature; it is thermodynamically unstable. It is postulated that the solid solution is formed by a discontinuous homogenization process which depends on the coupling of plastic deformation, grain boundary diffusion and grain boundary migration.On a produit des structures régulières, à l’échelle du nanomètre, de couches alternées de Au et de Pt par un procédé de laminage, de coupe et d’empilage répétés. Lorsque l’espace entre les couches est réduit à approximativement 6 nm, on observe un procédé d’homogénéisation locale partielle résultant en une solution solide de non-équilibre et approximativement homogène de Au et Pt. Ce produit se formait à ou près de la température de la pièce et il est instable du point de vue de la thermodynamique. On postule que la solution solide est formée par un procédé discontinu d’homogénéisation qui dépend du couplage de la déformation plastique, de la diffusion aux joints de grain et de la migration des joints de grain.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".