Stepwise-equilibrium and Adaptive Molecular Dynamics Simulation for Fracture Toughness of Single Crystals
Bibliographic record
Abstract
A stepwise-equilibrium and adaptive molecular dynamics (MD) simulation scheme for investigating the fracture toughness of single crystals is proposed in this study. The critical fracture toughness is found by conducting MD simulations along with the gradually increasing external load. At each load step, an equilibrium state is obtained by relaxing the system from the initial state generated. This is done by adjusting the atomic position using an additional displacement of linear elastic solution corresponding to the current load increment. The load increment is adjusted at each step in an adaptive way in order to achieve high computational efficiency and accuracy. A nickel crystal having 14256 atoms is investigated using this technique. The critical stress intensity factor in the (1[UNKNOWN]0) plane is found to be 0.7436 MPa √m, while the fracture stress is 4.7776 GPa. The effects of vacancies on the critical stress intensity factors are also investigated.
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".