The Fe<sub>3</sub>O<sub>4</sub> nanoparticle doping effect in liquid crystal on electrical and dielectric properties
Bibliographic record
Abstract
Fe 3 O 4 nanoparticles were doped into E63 coded liquid crystal (LC) with 0.1 wt% to investigate the effect of Fe 3 O 4 on the electrical and dielectric properties of LC in a wide range of frequency, bias voltage, and illumination. The frequency, bias voltage, and illumination level dependence of the electrical and dielectric properties of pure E63 and doped mixture (E63–Fe 3 O 4 ) has been investigated using the current–voltage (I–V) and admittance spectroscopy (C–V and G/ω–V) data in the frequency range of 10 kHz – 1 MHz at room temperature. Results show that the increment in current with Fe 3 O 4 doping is due to the metallic nature of the Fe 3 O 4 nanoparticles. The current switching voltage of reorientation is shifted to lower voltage values as a result of Fe 3 O 4 doping. Same behavior is also observed with increasing illumination level. The polarization contribution of Fe 3 O 4 doping is evident considering the values of [Formula: see text] at low frequencies. Moreover, depending on the existence of Fe 3 O 4 doping agent, there is a split in σ ac –f plots where σ ac values increase with frequency, especially at high frequencies.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 teacher head, 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".