Topological edge state resonance as gamma dosimeter using poly nanocomposite in symmetrical periodic structure
Abstract Topological edge state resonance based sensor, including photonic crystal, is proposed for gamma radiation detection. This article initiates by showing the fundamental principles of photonic crystal, topological edge state, and gamma dosimeter, highlighting their benefits and performance ov...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-02352-w |
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| Summary: | Abstract Topological edge state resonance based sensor, including photonic crystal, is proposed for gamma radiation detection. This article initiates by showing the fundamental principles of photonic crystal, topological edge state, and gamma dosimeter, highlighting their benefits and performance over conventional detectors. This study discusses the possibility of exciting a topological edge state resonance using two symmetrical photonic crystals composed of silicon doped with poly(ethylene oxide) nanocomposite as a gamma detector. The simulation results using the transfer matrix method recorded a sensitivity of 1.24 nm/Gy for gamma doses from 0 to 100 Gy and 0.34 nm/Gy for gamma doses from 100 to 200 Gy when the proposed structure is composed of silicon doped with poly(ethylene oxide) nanocomposite as an active material. It is found that the maximum figure of merit and quality factor of the detector are $$6.04\times {10}^{3}$$ $${\text{Gy}}^{-1}$$ and $$1.30\times {10}^{7}$$ , respectively. Thus, this innovative topological edge state resonance-based detector is extremely promising for radiation detection. According to these investigations, topological edge state gamma sensors have distinct advantages over traditional dosimeters in terms of increased sensitivity, robustness against disorder, and simplified structure, which makes them appropriate for use in environmental radiation monitoring and medical imaging. |
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| ISSN: | 2045-2322 |