Coatings for Space-Based Systems: Impacts of Plasma Processes
Bibliographic record
Abstract
Plasma assisted processes have become more and more important in surface treatments applied to different domains.For example, thin metallic films, dielectric layers or hard coatings with functional properties related to the material structure and composition are widely used in different fields of applications.Nowadays, multifunctional coatings are also highly required.For example, sustainable activated filters, protective layer to reduce system ageing, as well as combined superhydrophobic, anti-fouling and resistant coatings are expected in various terrestrial applications.Nanocomposite thin films i.e. coatings of matrixembedded nanoparticles are potential candidates as they are exhibiting multifunctional properties related to the matrix and the nanoparticles and, especially, their concentration, size, shape, and distribution in the coating.Different plasma strategies are developed.This presentation aims to review different plasma assisted technologies to form innovative coatings and their potential impacts for space-based systems with a specific focus on safer-by-design methods.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".