Temperature-induced localized exciton dynamics in mixed lead–tin based CH3NH3Pb1−xSnxI3 perovskite materials
Bibliographic record
Abstract
Of late, tremendous research efforts have been made to obtain Pb-free low-toxicity halide perovskites. In this regard, the Sn-based perovskite is the focus of attention because of its properties being similar to those of Pb. This paper explores the fundamentals of temperature-induced dynamics of localized excitons in mixed Pb–Sn based CH3NH3Pb1−xSnxI3 perovskite materials. A quantitative model using the Monte Carlo simulation of exciton hopping and relaxation is developed to compute the photoluminescence (PL) peak energy, in addition to the PL line-width over a temperature regime of 10 K–300 K. The temperature-induced changes in the bandgap expansion allow the quantitative fit of our calculation to the experimental results. We show that the PL peak energies in CH3NH3PbI3 and CH3NH3Pb1−xSnxI3 are blue shifted due to the fact that the excitons are localized with higher energy localized states with increasing temperatures. It has also been found that the amount of redshift in PL peak energy decreases with an increase in Sn contents while the full width at half maximum increases in increased Sn content perovskite materials. These results give a deep insight into the exciton dynamics in CH3NH3Pb1−xSnxI3, further aimed at efficient applications in optoelectronic devices.
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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".