Hybrid Perovskites: A New Class of Compound Semiconductors with Unique Properties
Bibliographic record
Abstract
Organometallic hybrid perovskites have recently attracted enormous attention for photovoltaic, light emitting and other applications. Combining the advantages of both organic and inorganic materials, hybrid perovskites possess a wide range of extraordinary properties, such as tunable band gap, long carrier diffusion length, and ambipolar charge transport. Here, we will discuss first the physics of this interesting class of highly processable materials such as phase transitions and dielectric properties. Various solution and vapor based synthesis routes have been introduced to produce perovskite thin films and nanostructures. Regarding device applications, we will discuss the performance of perovskite solar cells using nano oxides such as SrTiO3, Zn2SnO4, and Cu2O as charge transporting materials. These versatile hybrid materials also found application in electronic devices. In the last part, we will discuss the applications of light sensitive perovskites in ambipolar phototransistors and nonvolatile resistive switching memories.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".