ArticlePhysics in medicine and biology2018
Monte Carlo simulation of chemistry following radiolysis with TOPAS-nBio.
Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- TOPAS-nBio simulation of the impact of ultrahigh dose rate and oxygen concentration on the Fenton reaction using the Fricke solution.Medical physics · 2026Article
- Evaluation of radiation damage effects of low-energy Auger and conversion electrons emitted byScientific reports · 2026Article
- Electron transport (0.2 eV-10 keV) in liquid water: resolving discrepancies between track simulations and radiolysis data.RSC advances · 2026Article
- Assessment of quality control and effect of radiolysis on the in vivo biodistribution of [EJNMMI radiopharmacy and chemistry · 2025Article
- Article
- The role of coating layers in gold nanorods' radioenhancement: a Monte Carlo analysis.Nanoscale advances · 2025Article
- TOPAS-nBio-Reg: a regression testing system for track structure simulations in TOPAS-nBio.Physics in medicine and biology · 2025Article
- Localized In Vivo Prodrug Activation Using Radionuclides.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- TOPAS-Tissue: A Framework for the Simulation of the Biological Response to Ionizing Radiation at the Multi-Cellular Level.International journal of molecular sciences · 2024Article
- Review of chemical models and applications in Geant4-DNA: Report from the ESA BioRad III Project.Medical physics · 2024Review
- Effects of Differing Underlying Assumptions in In Silico Models on Predictions of DNA Damage and Repair.Radiation research · 2023Article
- Prospects of nanoparticle-based radioenhancement for radiotherapy.Materials horizons · 2023Review
- A new approach for simulating inhomogeneous chemical kinetics.Scientific reports · 2023Article
- Modeling ultra-high dose rate electron and proton FLASH effect with the physicochemical approach.Physics in medicine and biology · 2023Article
- An integrated Monte Carlo track-structure simulation framework for modeling inter and intra-track effects on homogenous chemistry.Physics in medicine and biology · 2023Article
- The complexity of DNA damage by radiation follows a Gamma distribution: insights from the Microdosimetric Gamma Model.Frontiers in oncology · 2023Article
- Nano-scale simulation of neuronal damage by galactic cosmic rays.Physics in medicine and biology · 2022Article
- Radical Production with Pulsed Beams: Understanding the Transition to FLASH.International journal of molecular sciences · 2022Article
- Impact of DNA Geometry and Scoring on Monte Carlo Track-Structure Simulations of Initial Radiation-Induced Damage.Radiation research · 2022Article
- TOPAS-nBio simulation of temperature-dependent indirect DNA strand break yields.Physics in medicine and biology · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
Simulation of water radiolysis and the subsequent chemistry provides important information on the effect of ionizing radiation on biological material. The Geant4 Monte Carlo toolkit has added chemical processes via the Geant4-DNA project. The TOPAS tool simplifies the modeling of complex radiotherapy applications with Geant4 without requiring advanced computational skills, extending the pool of users. Thus, a new extension to TOPAS, TOPAS-nBio, is under development to facilitate the configuration of track-structure simulations as well as water radiolysis simulations with Geant4-DNA for radiobiological studies. In this work, radiolysis simulations were implemented in TOPAS-nBio. Users may now easily add chemical species and their reactions, and set parameters including branching ratios, dissociation schemes, diffusion coefficients, and reaction rates. In addition, parameters for the chemical stage were re-evaluated and updated from those used by default in Geant4-DNA to improve the accuracy of chemical yields. Simulation results of time-dependent and LET-dependent primary yields G
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