Pressure-induced white light emission based on a single-component organic molecule
Bibliographic record
Abstract
White light-emitting diodes hold great significance in the realm of lighting technology, as they possess the potential to considerably reduce energy consumption and mitigate greenhouse gas emissions. Nonetheless, transitioning individual organic molecules from emitting no white light to bright white-light remains an arduous task. In this paper, we present a straightforward and highly efficient approach known as compression, which successfully induces the transition from dark to radiant white luminescence. Unexpectedly, we have discovered that the molecule transformed from exhibiting no white light emission under ambient pressure to emitting brilliant white light with Commission Internationale de I'Éclairage coordinates of (0.31, 0.32) at 0.8 GPa. Furthermore, the intensity of the emitted light increased by more than tenfold. By employing steady-state absorption and fluorescence, transient-state spectra measurements, and density functional theory simulation, we elucidated that the distinct responses of luminescence to pressure can be attributed to the effective manipulation of molecular structure. Our work represents the pioneering utilization of compression as a robust tool in the fabrication of white light and the optimization of luminescent properties using a simple-component organic molecule.
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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".