Computationally Accelerated Discovery of Efficient Dual Component White Light Emitters
Bibliographic record
Abstract
Raw data for a computationally guided approach to formulating solution-based white light emission from a series of H-bonded iridium phosphors and a complementary H-bonding fluorophore. We computationally investigated thirty new Ir(III) complexes which all incorporate a previously studied H-bond rich biguanide functionalised ligand. The results of the computational screening based on TD-DFT peak emission data and established lifetime and quantum efficiency data in the literature indicated seven Ir(III) candidates suitable for synthesis and further investigation. Of the seven Ir(III) complexes, four were chosen based on their synthetic feasibility and their suitability to further study based on the parameters of the screen. Photophysical investigations of these four candidates with our deep blue emitter showed how three out of four of the complexes could achieve near ideal white light in the appropriate ratio of the complementary H-bonding fluorophore, while all four host-guest-complements show promising white-light results in polymer (PMMA) films.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".