Electron trapping in 4H-SiC MOS capacitors fabricated by pre-oxidation nitrogen implantation
Bibliographic record
Abstract
Incorporation of nitrogen (N) atoms by ion implantation prior to oxidation of SiO2/4H-SiC interfaces has been investigated by capacitance-voltage (C-V) characteristics and constant capacitance deep-level-transient spectroscopy (CCDLTS) measurements. The shift of the C-V curves to negative voltages can be explained by the partial activation of implanted N atoms during oxidation. The maximum amplitude of the CCDLTS spectra, proportional to the density of near-interface oxide traps, decreases with increasing N dose, but remains significantly larger than that of SiO2/SiC interfaces fabricated by post oxidation annealing in nitric oxide (NO). Intrinsic defects in the SiC epi-layer associated with implantation damage are also observed in N-implanted samples. In contrast, electron traps energetically close to the SiC conduction band, detected in NO annealed samples and presumably introduced during oxidation, are not observed in N-implanted samples. The improved transport characteristics of MOS transistors fabricated on N-implanted epi-layers compared to those fabricated by NO annealing is suggested to result from the effects of the greater N donor concentration and also possibly to the suppression of shallow electron traps in the SiC epilayer.
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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".