Inverted and Amplified CP‐EL Behavior Promoted by AIE‐Active Chiral Co‐Assembled Helical Nanofibers
Bibliographic record
Abstract
Abstract It is well‐known that high‐performance circularly polarized organic light‐emitting diodes (CP‐OLEDs) remain a formidable challenge to the future application of circularly polarized luminescent (CPL)‐active materials. Herein, the design of a pair of AIE‐active chiral enantiomers (L/D‐HP) is described to construct chiral co‐assemblies with an achiral naphthalimide dye (NTi). The resulting co‐assemblies emit an inverted CPL signal compared with that from the L/D‐HP enantiomers. After thermal annealing at 120 °C, the inverted CPL signal of this kind of L/D‐HP‐NTi with a 1:1 molar ratio shows regular and ordered helical nanofibers arranged through intermolecularly ordered layered packing and is accompanied with a further amplified effect (|gem| = 0.032, λem = 535 nm). Significantly, non‐doped CP‐OLEDs based on a device emitting layer (EML) of L/D‐HP‐NTi exhibits a low turn‐on voltage (Von) of 4.7 V, a high maximum brightness (Lmax) of 2001 cd m−2, and moderate maximum external quantum efficiency (EQEmax) of 2.3%, as well as excellent circularly polarized electroluminescence (CP‐EL) (|gEL| = 0.023, λem = 533 nm).
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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".