Dynamic Relaxation and New Periodic Symmetry Technique for Simulating Interactions Between Dislocations
Bibliographic record
Abstract
Studies of the interaction between two edge dislocations have been carried out by coupled Dynamic Relaxation (DR) technique, the Embedded Atom method (EAM) potential function and a newly developed periodic symmetry method. The effects of boundary conditions and external tractions are examined for the case of edge dislocations with the same or opposite Burgers vectors gliding on physically the same planes, and for dislocations with opposite Burgers vectors gliding on parallel planes. The results show that as expected, edge dislocations dissociate into Shockley partials to minimize their energy. Depending upon the sign of the Burgers vector of component dislocations, various defect configurations are obtained after the relaxation. A more stable defect configuration replaces the well-known structure of the perfect dipole when the distance between the slip planes decreases. This leads to the formation of faulted dipoles in Z configuration. The relaxation results depend upon parameters such as dipole height, initial dipole configuration and also external tractions applied to the system. These parameters together with the atomistic mechanism of transformation of perfect dipole into the Z dipole are studied. The suitability of the technique for simulating complex defect structures in crystalline material is discussed.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".