Neural Network Inverse Design of Nanophotonic Scintillators

Scintillation, the emission of light by materials impinged by high-energy particles, is vital for scientific and technological applications - used in most security scanners and medical imaging systems. The incident particles excite energetic electrons that undergo a cascade of interactions forming electron-hole pairs, which recombine to emit light. Due to the complex physics of scintillators, their improvement requires optimizing multiple material properties that are often contradictory: high stopping power, efficient light emission, and optical transparency.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110329
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
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Neural Network Inverse Design of Nanophotonic Scintillators

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Photonic and Optical Devices
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Neural Network Inverse Design of Nanophotonic Scintillators

Avner Shultzman, Ido Kaminer, Charles Roques‐Carmes, Francis Loignon-Houle, Nathan Regev
article en

Abstract

Scintillation, the emission of light by materials impinged by high-energy particles, is vital for scientific and technological applications - used in most security scanners and medical imaging systems. The incident particles excite energetic electrons that undergo a cascade of interactions forming electron-hole pairs, which recombine to emit light. Due to the complex physics of scintillators, their improvement requires optimizing multiple material properties that are often contradictory: high stopping power, efficient light emission, and optical transparency.

Technion – Israel Institute of Technology (IL), Stanford University (US)
Affordable and clean energy
Openalex Percentile: Top 79%
Photonic and Optical Devices
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