Chiral perovskites for room-temperature spin light-emitting diodes
Bibliographic record
Abstract
Light-emitting diodes (LEDs) fabricated based on luminescent materials have revolutionized the full-color display and solid-state lighting technologies [1].Spin LEDs (spin-LEDs) that can emit circularly polarized electroluminescence (CP-EL) show broad promising opto-spintronic applications, including three-dimensional (3D) displays, quantum-based optical computing and information processing, tomography and encryption [2].The efficient control over the spin polarization of the injected charge carriers is the prerequisite for the fabrication of spin-LEDs, which is usually achieved by using polarized ferromagnetic contacts and/or applied magnetic fields.Through the radiative recombination process of spin-polarized charge carriers, spin angular momentum of carriers will then transfer to the light.Finally, circularly polarized light (CPL) with angular momentum is emitted depending on the spin state of the injected charge carriers [2].The degree of polarization of CP-EL of spin-LEDs is defined by P CP-EL using the equation below:
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".