Radiation Tolerance of Lead Halide Perovskite Films: An <i>in Situ</i> X-ray Scattering Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Lead halide perovskites, known for their excellent optoelectronic properties, have found application in solar cells, LEDs, and photodetectors. One particularly promising application of these materials is in X-ray detectors. This requires a high degree of tolerance to the effects of ionizing radiation, and one of the main drawbacks of lead halide perovskites is their instability, with respect to a wide variety of environmental stimuli. Although we know a lot about how moisture, oxygen, and visible light affect and degrade the perovskite lattice, relatively little is known about the radiation tolerance of these materials. In this work, we discuss the effect of high-energy (15.12 keV) X-ray radiation on perovskites of various compositions. We use in situ GIWAXS (grazing incidence wide-angle X-ray scattering) to follow the structural changes that occur as the result of X-ray exposure in atmospheres of varying relative humidity. Perhaps surprisingly, we find that there is a low compositional and humidity dependence on the rate of radiation damage in perovskite films. An accumulating radiation dose is associated with increasing structural disorder including the formation of ion vacancies and Schottky defects. These results are an important first step in the design of robust, radiation-tolerant, and perovskite-based X-ray detectors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it