Hysteresis of pulsed characteristics of field emission from nanocarbon materials
Bibliographic record
Abstract
Abstract Characteristics of pulsed‐field electron emission from nanocarbon films were investigated in experiments with a wide (1.5–5 mm) quasiplanar test gap. Parameters of the applied voltage (amplitude, shape and duration of pulsed component and d.c. bias) were varied; the maximum peak voltage value amounted to 40–45 kV. Dynamic I – V plots measured in 10–100 µs pulses combined inherent features of field emission (linearity in Fowler–Nordheim (FN) coordinates) with strong hysteresis. For the explanation of the latter, a model of emission via intermediate electron energy states is proposed. The simple quantitative model excellently agrees with the measured characteristics for different emitter samples and over a broad range of voltage parameters, but fails to simulate the phenomenon of emission efficiency boosting by fast voltage drops, also observed in the experiment. A possible mechanism of this dynamic effect may consist in the redistribution of electrons among the different field focuses at the nonuniform emitter surface under the effect of a strong nonstationary electric field. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".