A Noble Conductivity Studies and Characterizations of PVA-Orthophosphoric-Filter Paper Electrolytes
Bibliographic record
Abstract
The nobility of solid polymer electrolyte (SPEs) has made them a subject of interest, especially in the arena of science and technology, and most importantly as they are used as separators in industries and by researchers for the assembly of some “few battery types” and supercapacitors. This paper, highlights the nobility of the hybrid solid polymer electrolyte (HSPE), particularly at room temperature such that, it can be used as an electrolyte as well as a separator in supercapacitor fabrication. The hybrid SPEs were produced from the composition of polyvinyl alcohol (PVA) and Phosphoric acid (H3PO4), where the PVA samples were kept constant while the phosphoric acid concentration was varied at 0, 10, 20, 30, 40, 50, 60, and 70 wt. %. XRD results show that, the crystallinity decreases as the acid concentration increases and consequently, there is an enhancement in the amorphicity of the samples responsible for the process of ion transport. This characteristic behavior was confirmed by the analysis of the differential scanning calorimetry results. FESEM result pictured the entangling nature of the combined samples. High conductivity of 1.67 x 10-3. Scm-1 was recorded for the HSPE at the composition of 70:30 wt. %. It was also noticed that, the bulk modulus, Rb of the HSPE (5.73 ?) at the aforementioned composition decreases with the increase in concentration.
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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".