Electrical Tunability of Quantum-Dot-in-Perovskite Solids
Bibliographic record
Abstract
The quantum-dot-in-perovskite matrix (DIM) is an emerging class of semiconductors for optoelectronics enabled by their complementary charge transport properties and stability improvements. However, a detailed understanding of the pure electrical properties in DIM is still in its early stage. Here, we developed PbS quantum dot-in-CsSnI 3 matrix solids exhibiting improved electrical properties and enhanced stability. PbS incorporation reduces the tensile strain of DIM films compared to that of pristine CsSnI 3, consequently increasing the electrical conductivity. Electrical conductivity is tunable between 20 and 130 S/cm as a function of PbS concentration. Notably, a decoupling of electrical conductivity and Seebeck coefficient is observed upon PbS addition into the perovskite matrix, which is attractive for thermoelectric applications. Density functional theory analysis reveals that at low concentrations of PbS, light holes/electrons govern the overall transport properties in DIM, while heavy holes/electrons begin to dominate as the PbS concentration increases. Understanding the electrical properties would help for designing DIMs with specific properties for various technological applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".