Understanding the Photophysical Properties of the Polyoxotitanates Ln<sub>2</sub>Ti<sub>4</sub>O<sub>6</sub>(phen)<sub>2</sub>(met)<sub>10</sub>
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Understanding and tuning the luminescent properties of lanthanide(III) ions is of great interest for a range of optical applications, for example photo down-shifters for photovoltaics. In this work a series of isostructural polyoxotitanates (POTs) of general formula Ln 2 Ti 4 O 6 (phen) 2 (met) 10 ( Ln 2 Ti 4, Ln = Nd, Sm–Er, Yb, met = methacrylate) was synthesized, where the lanthanide is coordinated to a titanium-oxo core and the antenna ligand 1,10-phenanthroline (phen). The energies of the ligand S 1 and T 1 states in the Ln 2 Ti 4 series were determined, which, together with the luminescence spectra of the Ln 2 Ti 4 compounds, gave new insights into the intramolecular energy-transfer mechanism and efficiencies between the ligand periphery and the Ln 3+ ions. The effect of the rigidity of the Ti 4 O 6 -core on the coordination environment of a lanthanide was quantified for the first time using lifetime measurements, which shows a significant increase of Δτ = 1.1 ms for Eu 2 Ti 4 compared to the reference Eu 2 (phen) 2 (met) 6 ( Eu 2 ), in which no metal-oxo core is present. This key finding illustrates the advantage in designing lanthanide-based lumiphores containing rigid metal-oxide cores.
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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".