A High Performance and Consolidated Piezoelectric Energy Harvester Based on 1D/2D Hybrid Zinc Oxide Nanostructures
Bibliographic record
Abstract
Abstract Piezoelectric nanogenerators (PENGs) have manifested their ability over the last decade to deliver sustainable electric power to nano and micro‐electromechanical systems or to make a wireless system network self‐powered by harvesting ambient tiny mechanical energy. Most of the advanced PENGs are based on 1D zinc oxide (ZnO) nanostructures (e.g., nanowires and nanorods) due to their high electromechanical coupling behavior. However, 2D ZnO nanosheets due to their buckling behavior and formation of a self‐formed anionic nanoclay layer contribute to generate direct current type piezoelectric output. Herein, a PENG based on the integration of 1D and 2D ZnO nanostructures on the same substrate is demonstrated for the first time, which is synthesized using a simple, low‐temperature, and low‐cost hydrothermal method. This device has potential to be integrated into the aircraft structural health monitoring (SHM) system to provide required small amount of electrical power to the array of sensors within the system, hence making the SHM system fully wireless.
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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) | 0.000 | 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 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".