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Recent updates of the MPEXS2.1-DNA Monte Carlo code for simulations of water radiolysis under ion irradiation

https://repo.qst.go.jp/records/2001812
https://repo.qst.go.jp/records/2001812
8b2e8130-23ef-42e0-8534-0c957102c625
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2025-06-13
タイトル
タイトル Recent updates of the MPEXS2.1-DNA Monte Carlo code for simulations of water radiolysis under ion irradiation
言語 en
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Shogo Okada

× Shogo Okada

Shogo Okada

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Koichi Murakami

× Koichi Murakami

Koichi Murakami

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Tamon Kusumoto

× Tamon Kusumoto

Tamon Kusumoto

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Yoshiyuki Hirano

× Yoshiyuki Hirano

Yoshiyuki Hirano

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Katsuya Amako

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Katsuya Amako

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Takashi Sasaki

× Takashi Sasaki

Takashi Sasaki

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抄録
内容記述タイプ Abstract
内容記述 To improve radiotherapy, especially that with ion beams such as proton and carbon ion beams, the mechanisms of interactions induced by ionizing radiation must be understood. MPEXS2.1-DNA is a Monte Carlo simulation code developed for water radiolysis studies and DNA damage simulations that uses GPU devices for fast computation. However, the original chemistry model in MPEXS2.1-DNA did not include detailed chemical reactions for reactive oxygen species (ROS), e.g., O•-, O2, O2•-, HO2•, HO2-. In the present study, drawing the former work on the step-by-step (SBS) model for the RITRACKS code, we implemented an alternative SBS model into MPEXS2.1-DNA to increase the capabilities and computational speed of water radiolysis simulations under ion irradiation. This model is based on the theory of Green’s function of the diffusion equation (GFDE-SBS). Also, we implemented multiple ionization processes which enhance ROS generation under high-LET irradiation. We compared the simulation results obtained by GFDE-SBS with experimental data from previous studies. The validation results demonstrated that the GFDE-SBS model accurately reproduced the measured radiation chemical yields of major species, such as hydroxyl radicals and hydrogen peroxide. Furthermore, the computational speed of GFDE-SBS was increased approximately ten times faster than the original model due to the changes in time stepping. Additionally, simulations using a Fricke dosimeter confirmed that this model is reliable for long-term simulations over seconds. These improvements enable simulations of radiation interactions and can help in the study of DNA damage mechanisms.
書誌情報 Scientific Reports

号 15, 発行日 2025-06
DOI
識別子タイプ DOI
関連識別子 10.1038/s41598-025-00875-w
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