Ultrabroadband tunable emission in hybrid Zr-perovskite via Sb3+ doping: Harnessing singlet-triplet energy transfer and self-trapped excitons
Bibliographic record
Abstract
Organic-inorganic hybrid metal halide perovskites (MHPs) are emerging as innovative and promising optical functional materials due to their tunable structures and impressive emission properties. However, it still remains an intriguing challenge to achieve multi-response excitation and spectrally tunable emission in single-component-based MHPs. Herein, we obtain component-, excitation-, temperature-dependent luminescence with broadband tunable emission in an organic-inorganic hybrid MHP, (ETP) 2 ZrCl 6 (ETP = ethyl triphenylphosphine) with Sb 3+ activation, in which the isolated [ZrCl 6 ] 2- metal-halide units are separated by ETP cations. The experimental studies indicate that energy transfer between the singlet and triplet of organic-inorganic hybrid MHPs, and doping-induced self-trapped excitons (STEs) result in multi-response broadband photoluminescence spanning deep UV to deep red. Zr 4+ in the host could modulate room-temperature phosphorescence and ultraviolet B (280–315 nm) luminescence by regulating intersystem crossing and reverse intersystem crossing processes. The Sb 3+ activator could extend luminescence to red region, achieving a photoluminescence quantum yield of up to 78.8 %. This multi-mode luminescence in organic-inorganic hybrid (ETP) 2 ZrCl 6 shows its potential in multifunctional applications including advanced anti-counterfeiting, spatial-time-resolved coding, and low-temperature sensing.
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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) | 0.000 | 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".