Impact of bulk conduction phenomena on the temporal stability of piezoelectric behavior of engineered PDMS ferroelectrets
Bibliographic record
Abstract
Engineered ferroelectrets show great promise as high-performance piezoelectric materials; however, there is a limited range of materials compatible with microfabrication techniques and that possess suitable electrical properties. While polydimethylsiloxane (PDMS) has broad compatibility with microfabrication techniques, it compromises in electret potential and reported that PDMS ferroelectrets have inconsistent long term piezoelectric performance. Therefore, understanding the phenomena responsible for the loss of piezoelectric behavior is necessary to improve the temporal stability of engineered PDMS ferroelectrets. Engineered PDMS ferroelectrets were prepared by poling structured cellular films fabricated using 3D printed molds. The electric hysteresis of the PDMS ferroelectrets indicated that they were successfully polarized by dielectric barrier discharges (DBDs); however, quasi-static d33 measurements revealed that their piezoelectric behavior decayed rapidly indicating that the internal surface charges deposited by DBDs were unstable. The charge decay mechanism in PDMS ferroelectrets was investigated by direct resistivity measurements of PDMS films and isothermal surface charge decay (ISCD) experiments of PDMS films charged via corona and impulse charging techniques. ISCD experiments suggest that surface charge decay occurs predominantly due to bulk conduction phenomena. The PDMS films exhibited apparent bulk conduction behavior consistent with space-charge limited conduction. Therefore, it is hypothesized that the loss of piezoelectric behavior of PDMS ferroelectrets is due to charge injection from the electrodes. These results demonstrate that understanding bulk conduction phenomena at the electric fields encountered during poling is crucial to expanding the range of materials that can be used as engineered ferroelectrets.
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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".