Particle‐Induced Erosional Behaviors of Diamond‐Like Carbon Films
Bibliographic record
Abstract
Particle‐induced erosion is an important form of materials wear. The erosion mechanism lacks good understanding due to the limitation of experimental techniques to characterize the fast impact process between particle and materials. Herein, the particle‐induced erosion of diamond‐like carbon (DLC) films is investigated using molecular dynamics simulations. It is found that the impact process shows an evident fluctuation. The impact energy is mainly absorbed during the first fluctuation period, and the fluctuations in other periods are dominated by elastic deformations. The energy absorbed in the first period shows a linear relation with the maximum material loss, and such relation indicates that there exists a threshold vertical impact velocity to initiate the loss of DLC films, which is due to the initiation of their plastic deformation. The maximum impact force shows a linear dependence on the impact velocity, attributed to the structural changes of DLC films. Moreover, the DLC films show large volume loss with both impact angles of 90° and 45°, indicating that these films exhibit both brittle and ductile impact behaviors due to their specific structural changes. These results can help to uncover the erosional behaviors of DLC films and elucidate the particle‐induced erosion mechanisms at the nanoscale.
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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 | 0.000 |
| 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) | 0.001 | 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".