Meshless Dynamic Relaxation Technique for Simulating Atomistic Models Subjected to External Forces Under the Periodic Symmetry
Bibliographic record
Abstract
The movement of dislocations, under the potential energy and the external driving forces, affects the performance of materials in various applications. This paper demonstrates meshless Dynamic Relaxation (DR) technique and the Embedded Atom method (EAM) potential function for simulations of the relaxation of atomistic models with dislocation defects subjected to external forces. A newly developed periodic symmetry method is incorporated into the algorithm and applied to one coordinate direction of the atomistic model, as well as the net traction on the periodic boundary in order to mimic an infinite bulk with a finite number of atoms. Output stress and displacement components are used to visualize the results and are in agreement with theoretical analysis. The numerical treatments, such as the application of the new periodic symmetry technique in the EAM potential model, the convergence criterion, the unit length, the choice of damping ratios in different cases and the stable range of net traction, are studied. The example case, which illustrates the pure edge dislocation model with and without the external force along the periodic direction, is successfully implemented and presented in the paper.
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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".