Molecular Dynamics Simulations of Nanoscratching of 3C-SiC
Bibliographic record
Abstract
We have carried out molecular dynamics simulations of nanoindentation followed by scratching at constant depth on the Si-terminated (0 0 1) surface of 3C SiC. The dependence of the friction coefficient, scratch hardness, and wear on scratching depth, velocity, direction, and indenter size and shape are investigated. In general, both the scratch hardness and friction coefficient increase with indentation depth but decrease with increasing scratching speed. We also find that the scratch hardness and friction coefficient are anisotropic, i.e. they are larger when scratching in the [1 1 0] direction than in the [1 0 0] direction. The friction coefficient also depends on the rake angle of the tool and is larger for a pyramidal indenter, due to the presence of a large negative rake angle in this case. While the primary mode of wear observed for scratching is ploughing in good agreement with experimental studies, there is significantly more pile-up and chip formation in the [1 1 0] direction. We have also used the shortest path ring distribution, pair-correlation function, bond-angle distribution and bond number analysis to investigate the nature of the plastic deformation due to nanoscratching. We find that scratching leads to a partial amorphization of the material along the scratching trajectory. The size of the amorphization region increases with scratching velocity, thus explaining the decrease in scratch hardness and friction coefficient for higher scratching velocities. © 2008 Elsevier B.V. All rights reserved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".