Formation of misfit dislocations in nanoscale Ni–Cu bilayer films
Bibliographic record
Abstract
We investigated the mechanism of interface dislocation formation in a 5.0 nm Ni film epitaxially deposited on 100 nm of Cu(001). Threading dislocations that pre-exist in the Cu substrate extend into the coherent Ni overlayer during growth and propagate in the [110] and directions along the interface. These dislocations are perfect glide dislocations with mixed character and lying on the Ni{111} planes, and were by far the most numerous in the microstructure. Lomer edge dislocations lying on the Ni–Cu(001) interface were also detected, constituting approximately 5% of the total interface dislocation content. Closely spaced adjacent pairs of perfect glide dislocations having the same Burgers vector were commonly observed at the interface. This dislocation configuration, together with several others that were observed, is explained in terms of the ability of favourably oriented dislocations to cross-slip.
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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) | 0.000 | 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 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".