Electrical transport properties of the composite of multiwall carbon nanotube–polypyrrole–polyvinyl alcohol below room temperature
Bibliographic record
Abstract
Abstract We have investigated electrical transport properties of the composite of multiwall carbon nanotubes–polypyrrole–polyvinyl alcohol. Samples are prepared in an in situ chemical oxidative method and they are characterized by X‐ray diffraction, field emission scanning electron microscope to understand their structure and morphology, respectively. Mechanism of electrical transport is done below room temperature (77–300 K) in presence and absence of magnetic field up to 1 T. Samples are following both one dimensional Mott's variable range hopping and tunneling theory. Forward interference model is used to explain the mechanism of magnetic field dependent conductivity. The real part of AC conductivity follows universal dielectric response σ′ (f) ∞ fS. The universal dielectric response parameter s varies with temperature according to correlated barrier hopping model. The variation of real part of complex impedance with frequency can be described in terms of Maxwell Wagner effect. The positive variation of AC conductivity can be explained in terms of grain and grain boundary contribution of the samples. POLYM. COMPOS., 2012. © 2012 Society of Plastics Engineers
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".