Spatial survey of a magnetron sputtering system using a Langmuir probe
Bibliographic record
Abstract
Summary form only given. Magnetron plasma sputtering systems are a popular thin film deposition technique. Despite the popularity, the structure and physical processes within the plasma are not well understood. A study has been conducted using a Langmuir Probe (LP) to complete spatial surveys of a magnetron plasma to characterize it in terms of electron density (n/sub e/), electron temperature (T/sub e/), plasma potential (V/sub p/), and floating potential (V/sub f/). This survey was conducted in a pure argon environment at both 5 and 40 mtorr. At each pressure lateral surveys through the plasma were done at 3 distances from the planar cathode. Additionally at each pressure, normal surveys were completed for two locations above the cathode face. At 40 mtorr plasma densities up to 6.0 x 10/sup 10/ cm/sup -3/ were observed in conjunction with electron temperatures up to -2 eV near the plasma source. At 5 mtorr plasma densities ranged up to 3.0 x 10/sup 10/ cm/sup -3/ with electron temperatures up to 4 eV. These studies have revealed some interesting results particularly with respect to electron temperature profiles. Electron Energy Distribution Functions (EEDFs) were found that can be described as either Maxwellian or bi-Maxwellian. Though these types of EEDFs have been observed before, the results found in this study suggests the bi-maxwellian distributions observed here are not explained by previously suggested models. Specifically the hot electron temperature appears to increase at greater distances from the cathode while the cold electron temperature decreases over the same spatial extent. It is well known that the flux and energy of particles bombarding a substrate can affect the morphology and chemistry of the resulting thin film. Since magnetrons have been demonstrated as useful in producing films with unique characteristics it is important to understand the collisional and transport processes within the plasma so that the technique may be best exploited.
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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 | 0.001 |
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".