Auroralike Light from a Polymer <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mrow> <mml:mi>p</mml:mi> </mml:mrow> <mml:mtext>−</mml:mtext> <mml:mrow> <mml:mi>n</mml:mi> </mml:mrow> </mml:mrow> </mml:math> Junction Emitting Free Electrons
Bibliographic record
Abstract
Luminescent conjugated polymers are organic semiconductors possessing unique electrical and optical properties. Luminescent polymers have been extensively investigated because of their potential applications in light sources and display devices. Here, we provide the first evidence that a luminescent polymer is also a strong emitter of free electrons and a source of new light. Vivid green light flashes have been observed from a red-emitting polymer p-n junction under a large reverse bias. The p-n junctions have a planar configuration, revealing that the green light flashes are emitted into free space, far beyond the confines of electrodes. Moreover, the green flashes can be strongly distorted by a permanent magnet placed nearby, generating a light show resembling an aurora. Like the aurora, the green light flashes are caused by charged particles. By applying a known transverse magnetic field to bend the flashes into circular arcs, a charge to mass ratio is determined for the charged particles. The auroralike green light coincides with the formation of electrical trees in the n-doped region of the junction. We postulate that the green light is caused by field-emitted electrons exciting an unknown organic vapor released in the treeing process.
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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) | 0.002 | 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".