Radiation Effects in Electret Organic Thin‐Film Transistors Due to High Flux and High Dose X‐Ray Irradiation
Bibliographic record
Abstract
Organic electronic devices offer lightweight, flexible, and low-cost alternatives to conventional semiconductor technologies, with growing interest in dosimetry applications. An organic thin-film transistor (OTFT) with a polymer electret is presented for high dose-rate synchrotron dosimetry. The OTFT operates in accumulated-dose and real-time readout modes and demonstrates excellent linearity with various beam filtrations. Device response increases with decreasing energy, and simulations reveal gold contacts as the primary source of energy dependence. Depth dose measurements show good agreement with a commercial detector, validating dosimetric performance. Minimal changes in mobility are observed at clinically relevant doses, but mobility degradation becomes apparent after high accumulated doses, indicating radiation damage in active materials. X-ray photoelectron spectroscopy (XPS) and near-edge X-ray absorption fine structure (NEXAFS) techniques are employed to analyze pristine and irradiated active material films separately and in a combined stack. XPS reveals oxidation in pentacene and a Fermi level shift in polystyrene in irradiated films, both of which likely cause the mobility reduction observed in OTFTs. Valence band and NEXAFS spectra show no evidence of new states in the bandgap. These findings demonstrate the potential of OTFTs as dosimeters for high dose-rates and clarify how radiation alters the molecular structure and electronic behavior of the device.
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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".