Electrical and dielectric properties of Au/1% graphene (GP)+Ca<sub>1.9</sub>Pr<sub>0.1</sub>Co<sub>4</sub>O<sub><i>x</i></sub> doped poly(vinyl alcohol)/n-Si structures as function of temperature and voltage
Bibliographic record
Abstract
Electrical and dielectric properties of Au/1% graphene (GP)+Ca1.9Pr0.1Co4Ox doped poly(vinyl alcohol)/n-Si structures have been investigated using the admittance spectroscopy method in the temperature and voltage ranges of 160–300 K and –4 – 5 V, respectively. Experimental results show that both the main electrical and dielectric parameters, such as barrier height (Φb), depletion layer width (Wd), series resistance (Rs) of structure, real and imaginary parts of dielectric constant (ε′, ε″) and electric modulus (M′ and M″), tanδ, and AC conductivity (σac) were found to be strong functions of temperature and applied bias voltage. M′ and M″ versus V plots have a peak at about 1 V. While the peak position shifted towards negative biases, the magnitude of the peak decreases with increasing temperature. Such peak behavior in M′ and M″ can be attributed to the existence of particular density distribution profile interface states at the interfacial layer–n-Si interface and their reordering and restructure under external electric field and interface polarization. These peaks also indicated that the Au/1% GP+Ca1.9Pr0.1Co4Ox doped poly(vinyl alcohol)/n-Si structure exhibits relaxation phenomena.
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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".