Reduced Graphene Oxide-Based Dielectric Nanocomposites with Small Dielectric Relaxation Times for Emerging Dielectric Electronics with High-Frequency Performance Demands
Bibliographic record
Abstract
To meet the demand of emerging devices for high-frequency dielectric performances, we proposed semiconductor polyaniline in situ modified rGO nanosheets to keep the dielectric constant stable at high frequencies. The π–π interface interaction between rGO and semiconductor polyaniline was found to block the migration of electrons, redistributing the delocalized electrons of rGO and leading to a reduction in relaxation time and a delay in the dielectric relaxation at higher frequencies. This mechanism gave the dielectric materials a stable dielectric constant at high frequencies. The dielectric relaxation time was reduced from 2.75 × 10 –8 to 5.68 × 10 –10 at a filler load of 10 wt %. The dielectric constant only decreased by 19% from 100 to 1 × 10 8 Hz. For the same range, unmodified rGO showed an 85% decrease. This mechanism could also further increase the dielectric constant and decrease the dielectric loss. This has a great potential for emerging high-frequency devices (DC/DC converter, sensors, energy harvesters, etc.).
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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".