Characterization and Performance Evaluation of High Entropy Nitride Coatings Produced by Cathodic Arc Evaporation
Bibliographic record
Abstract
Protective coatings are a widely used technique to improve surface properties. Recent developments in alloy design have identified many unique properties of high entropy alloys which have been incorporated into nitride coatings to produce high entropy nitrides. The research conducted for this thesis investigated the use of high entropy nitrides (AlCrTiVZr)N, (AlCrTiMoV)N and (AlCrTiMoVNi)N with varying Ni concentration for protective coatings produced by cathodic arc evaporation. All coatings were evaluated for their composition, microstructure, and surface morphology. The coatings thermal stability, mechanical properties of hardness and Young’s modulus were evaluated along with the coatings resistance to wear and erosion. The coatings produced in this study showed promise as protective coatings, however future efforts will be dedicated to reducing the droplet formation during deposition to further improve performance.
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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".