An Implementation of Wang Tilings for the Representation of Metallic Glasses in Molecular Dynamics
Bibliographic record
Abstract
This thesis presents an implementation of a mathematical model, Wang tilings, for the representation of metallic glasses in Molecular Dynamics. The purpose is to assess whether a Wang tiling specimen can be considered a representation of a metallic glass. The implementation of Wang tilings for the representation of amorphous structures can potentially increase system sizes and enable the study of small tile sets that achieve the same results. A technique for creating a Wang tiling specimen and a true specimen is developed. These specimens are then submitted to uniaxial tension deformation and analyzed macroscopic and microscopically. The analysis consisted of stress-strain curves, atomic bond deficiency defect concentrations and a shear banding analysis. The technique for the creation of a Wang tiling specimen was accurately developed, however, the tiled system is not a surrogate of the true specimen. This research is a first approach for implementing Wang tilings in Molecular Dynamics.
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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".