Imparting Cellulosic Paper of High Conductivity by Surface Coating of Dispersed Graphite
Bibliographic record
Abstract
Cellulosic paper, when imparted with strong conductivity, may have important applications. In the present work, graphite-based coatings were fabricated and directly applied onto the surface of a low-grade paper made of recycled fibers to produce conductive paper. Sodium dodecyl sulfate (SDS)-graphite aqueous dispersion was developed, in order to attain the graphite suspensions with high solid content and good dispersion. A coating formula consisting of graphite suspensions, styrene butadiene (SB) latex, and other ingredients was investigated to impart high conductivity to cellulosic paper. Effects of graphite dispersion on the coating viscosity and conductivity of surface coated paper were studied, and the microstructure of surface coated paper was characterized. Results showed that the optimum SDS addition promoted the graphite dispersion, decreased the coating viscosity, and facilitated the formation of uniform and compact coating network structures, all of which contributed to the increased coating layer density, decreased air permeability, and enhanced conductivity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".