Bibliographic record
Abstract
Ionic polymer metal composites (IPMCs) are one of the newest and most promising materials being studied for their electromechanical properties. They are robust and light-weight, and can be fabricated easily into nearly any desired size or shape. It is already well known that IPMCs, if prepared properly, can produce large macro-bending deformations while under low driving voltages or, conversely, produce measurable electric signals (sensing) when deformed. The recent discovery of capacitative behavior in dry-prepared IPMCs has led to the development of high energy density devices. Here we report on a single-step microfabrication of metal electrodes to produce ionomer composites sandwiched between two thin metal films. These composites exhibit a capacitance per unit planar area of ~1.0 mF cm-2, or 40 mF/g, for a 127 μm-thick ionic polymer substrate with 100-nm thick Au (5 nm-thick Cr for adhesion) electrodes. We further report on the scalability of these devices. These composites could open the door to high energy density, flexible, and scalable thin films needed to meet the energy storage solutions of the future.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".