Optical Response of CdSe Quantum Dots to Cesium-137 Gamma-Ray Radiation
Bibliographic record
Abstract
The optical response of colloidal photoluminescent (PL) semiconductor nanocrystals to 137Cs gamma radiation was investigated. The quantum dots (QDs) used were CdSe dispersed in hexane, exhibiting bandgap absorption and emission peaking at 556 nm and 563 nm, respectively. The doses of the 137Cs gamma radiations were 0.1, 1.0, 10 and 100 Gy with a dose rate of 0.805 Gy/min. Each radiation was performed on two identical samples; right after the radiation, absorption and emission measurements were performed. The change of the optical properties after the radiation was presented together with those of a control sample without radiation exposure. The prompt absorption measurements showed that there is little change with the 0.1 Gy up to 100 Gy radiations, while the prompt emission measurements showed that with the 0.1 Gy and 1 Gy radiation, there is a negligible change in the PL intensity; with the 10 Gy and 100 Gy radiation, there is a noticeable decrease in the PL intensity. Therefore, it seems that the radiation does not destroy the QDs themselves but leads to some loss of their surface passivation. Furthermore, the optical properties of the eight irradiated samples and the control sample were monitored periodically up to days. Interestingly, after the storage of days in dark, there is significant recovery in the PL intensity of the large-dose irradiated samples; such a rebound tendency provides the potential for the colloidal QDs to be novel and promising candidates in radiation dosimeter with multi-detection capability.
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.
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".