RAPTOR-AI: An open-source AI powered radiation protection toolkit for radioisotopes

IF 1.6 3区工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR

Applied Radiation and Isotopes Pub Date : 2025-03-28 DOI:10.1016/j.apradiso.2025.111797

Hiroshi Watabe , Peter K.N. Yu , Dragana Krstic , Dragoslav Nikezic , Kyeong Min Kim , Taiga Yamaya , Naoki Kawachi , Hiroki Tanaka , Zoran Jovanovic , A.K.F. Haque , M. Rafiqul Islam , Gary Tse , Quinncy Lee , Mehrdad Shahmohammadi Beni

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引用次数: 0

Abstract

Artificial intelligence (AI) has gained significant attention in various scientific fields due to its ability to process large datasets. In nuclear radiation physics, while AI presents exciting opportunities, it cannot replace physics-based models essential for explaining radiation interactions with matter. To combine the strengths of both, we have developed and open-sourced the Radiation Protection Toolkit for Radioisotopes with Artificial Intelligence (RAPTOR-AI). This toolkit integrates AI with the Particle and Heavy Ion Transport code System (PHITS) Monte Carlo package, enabling rapid radiation protection analysis for radioisotopes and structural shielding. RAPTOR-AI is particularly valuable for emergency scenarios, allowing quick dose dispersion assessments when a facility’s structural map is available, enhancing safety and response efficiency.

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来源期刊

Applied Radiation and Isotopes 工程技术-核科学技术

CiteScore

3.00

自引率

12.50%

发文量

406

审稿时长

13.5 months

期刊介绍： Applied Radiation and Isotopes provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and peaceful application of nuclear, radiation and radionuclide techniques in chemistry, physics, biochemistry, biology, medicine, security, engineering and in the earth, planetary and environmental sciences, all including dosimetry. Nuclear techniques are defined in the broadest sense and both experimental and theoretical papers are welcome. They include the development and use of α- and β-particles, X-rays and γ-rays, neutrons and other nuclear particles and radiations from all sources, including radionuclides, synchrotron sources, cyclotrons and reactors and from the natural environment. The journal aims to publish papers with significance to an international audience, containing substantial novelty and scientific impact. The Editors reserve the rights to reject, with or without external review, papers that do not meet these criteria. Papers dealing with radiation processing, i.e., where radiation is used to bring about a biological, chemical or physical change in a material, should be directed to our sister journal Radiation Physics and Chemistry.