CORRELATION OF TETRAHEDRAL AND TRIHEDRAL BONDING PROPERTIES IN AMORPHOUS CAMPHORIC CARBON THIN FILMS
Bibliographic record
Abstract
The tetrahedral carbon ( ta-C ) and boron doped amorphous carbon ( a-C:B ) thin films have been grown by pulsed laser deposition. The respective effects of diamond percentages by weight in the target (Dwt%) and boron percentages by weight in the camphoric carbon target (Bwt%), on the tetrahedral (sp3) and trihedral (sp2) bonding properties are discussed. The optical gap Eg and electrical resistivity ρ increase with Dwt%, up to 1.6 eV and 5.63 × 107 Ω cm respectively, for the film deposited using target with 50 Dwt%. We found that the Dwt% has modified the sp3 bonds content and the morphology of the carbon films. On the other hand, the Eg of a-C:B films is almost unchanged at about 0.95 eV up to 10 Bwt% and decreases thereafter to 0.6 eV at 16 Bwt%. The ρ increases initially to 2.29 × 106 Ω cm at 2 Bwt%, and decreases thereafter up to 4.58 × 105 and 1.82 × 104 Ω cm at 10 and 16 Bwt%, respectively. The variation of structural properties, Eg and ρ, can be related to the successful doping of B in the a-C films at low content of Bwt% (up to 10 Bwt%), as the structural properties and Eg remain almost unchanged and the ρ decreased. Since both Eg and ρ decreased sharply with higher Bwt%, this phenomenon can be related to graphitization. In this paper, the dependence of sp3 and sp2 impurity content on the growth and growth conditions of the films are also studied.
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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".