Charge carrier transport in boron doped poly-Si
Bibliographic record
Abstract
The influence of the used substrate and the boron doping concentration of the charge-transport properties of solid-phase crystallized polycrystalline silicon (poly-Si) is explored. The samples were characterized using temperature dependent transport measurements to determine mobility, carrier concentration, and conductivity. While Arrhenius plots of the hole concentration cannot be used to determine the position of the Fermi energy, a detailed analysis of the temperature dependent carrier concentration shows a Meyer–Neldel and an anti-Meyer–Neldel rule. Charge transport in poly-Si on SiN coated Borofloat glass with a boron concentraion [B] < 1016 cm–3 is limited by phonon scattering. On the other hand, for all poly-Si samples on Corning glass and poly-Si on SiN coated Borofloat glass with [B] > 1016 cm–3 charge-carrier transport is governed by thermionic emission over potential barriers. The data are discussed in terms of the Baccarani transport model.
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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".