Bicontinuous-distributed nanofibers and nanosheets facilitate anisotropic nanocomposite dielectrics to high energy density capacitors
Why this work is in the frame
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Bibliographic record
Abstract
• Bicontinuous BST nf and BNNS arrays in anisotropic nanocomposites. • Experiments/simulations reveal bicontinuous structures enhance ɛ r and E b . • Optimized PMB-i composite achieves U e ∼18.2 J/cm³, ɛ r ∼33.6, and E b ∼550 MV/m. • Novel space structure design applicable to high-temperature energy storage. Polymer nanocomposite dielectrics with high insulation and high energy storage density ( U e ) are pivotal for advancing lightweight and integrated power devices. However, the inherent trade-off between dielectric constant ( ɛ r ) and breakdown strength ( E b ) has limited the energy storage performance of such materials. Here, we present a novel design of bicontinuous structural anisotropic nanocomposites by integrating high- ɛ r Ba 0.6 S r0.4 TiO 3 nanofiber (BST nf) arrays and oriented wide-bandgap BN nanosheets (BNNS). This architecture simultaneously enhances polarization continuity and establishes a high-specific-area carrier blocking layer, enabling the synergistic improvement of ɛ r and E b . Our optimized PVDF/ m BST nf/BNNS nanocomposite achieves an ultrahigh E b of 550 MV/m and an U e as high as 18.2 J/cm 3 , representing enhancements of 46% and 323%, respectively, over pristine PVDF. Moreover, the bicontinuous structure improves energy storage performance at elevated temperatures, providing a robust framework for designing high-performance dielectrics, which provides scientific support for the application of polymer-based energy storage devices.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it