Electrical conduction in polyimide-FEP fluoropolymer films
Bibliographic record
Abstract
The aromatic polyimide has excellent mechanical, electrical and chemical properties. Absorption and conduction currents are studied over a temperature range of 50 to 200/spl deg/C in Teflon coated film (25.4 /spl mu/m Kapton/spl reg/ base with 12.7 /spl mu/m coating of Teflon/spl reg/ FEP fluoropolymer resin on one side) and the influence of parameters such as field strengths and electrode materials are investigated. The charging current decays with time according to t/sup -n/ (decay constant) with the value of index n in the range of 0.66 to 1.25. The discharging current decreases with the value of n in the range of 1.47 to 1.59 for the temperature range investigated. The dielectric loss factors at low frequency were evaluated from the absorption currents. For temperature up to 90/spl deg/C one broad peak is observed at frequencies around 3/spl times/10/sup -4/ Hz. For temperatures (>120/spl deg/C) the magnitude of the loss factor increases by an order of magnitude and no peaks are observed. Results on conduction currents are also reported for temperatures 90-200 /spl deg/C and fields up to 100 kV/cm. The activation energy of 0.70 eV and the ionic jump distance in the range 19-28 nm have been evaluated.
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".