A GPU‐based Monte Carlo model for water radiolysis under ultra‐high dose rate irradiation: Development and validation with MPEXS2.1‐DNA

We developed a GPU-based computational framework for water radiolysis simulations under UHDR conditions using MPEXS2.1-DNA. Our step-by-step approach enabled spatially precise tracking of intertrack reactions among radiolysis species originating from different proton tracks, a capability not achievable with conventional simplified methods. Additionally, we demonstrated that large-scale statistical analysis is computationally feasible under UHDR conditions through GPU acceleration. Our results successfully reproduced the experimental trends for the G values of hydroxyl radicals and hydrated electrons. Oxygen depletion rates also showed good agreement with experimental measurements. However, the discrepancy between simulated and measured G values of hydrogen peroxide indicates the need to incorporate additional competitive reactions, potentially including third-order mechanisms, for future UHDR modeling studies.

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Publication Details

Journal
Medical Physics
Published
2025-10-24
DOI
https://doi.org/10.1002/mp.70071
Citations
1
Primary Topic
Radiation Therapy and Dosimetry
Type
article
Field-Weighted Citation Impact
1.52
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article

A GPU‐based Monte Carlo model for water radiolysis under ultra‐high dose rate irradiation: Development and validation with MPEXS2.1‐DNA

K. Murakami, Tamon Kusumoto, Shogo Okada, Katsuya Amako et al.
1 citations
Medical Physics
Radiation Therapy and Dosimetry
1.52
article

A GPU‐based Monte Carlo model for water radiolysis under ultra‐high dose rate irradiation: Development and validation with MPEXS2.1‐DNA

K. Murakami, Tamon Kusumoto, Shogo Okada, Katsuya Amako, Takashi Sasaki
article en
1 citations

Abstract

We developed a GPU-based computational framework for water radiolysis simulations under UHDR conditions using MPEXS2.1-DNA. Our step-by-step approach enabled spatially precise tracking of intertrack reactions among radiolysis species originating from different proton tracks, a capability not achievable with conventional simplified methods. Additionally, we demonstrated that large-scale statistical analysis is computationally feasible under UHDR conditions through GPU acceleration. Our results successfully reproduced the experimental trends for the G values of hydroxyl radicals and hydrated electrons. Oxygen depletion rates also showed good agreement with experimental measurements. However, the discrepancy between simulated and measured G values of hydrogen peroxide indicates the need to incorporate additional competitive reactions, potentially including third-order mechanisms, for future UHDR modeling studies.

Medical PhysicsVol. 52(11)
High Energy Accelerator Research Organization (JP), National Institutes for Quantum Science and Technology (JP)
Openalex Percentile: Top 13%
Radiation Therapy and Dosimetry
1.52
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A GPU‐based Monte Carlo model for water radiolysis under ultra‐high dose rate irradiation: Development and validation with MPEXS2.1‐DNA — K. Murakami, Tamon Kusumoto, et al. · Medical Physics (2025) | TGRS Research Map | TGRS