MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure

Research article (Physics in Medicine and Biology, 2022) · cited 24× · AI/ML
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MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure

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MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure is a scholarly article[1].

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  • MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure. Retrieved May 24, 2026, from https://4ort.xyz/entity/moqui-an-open-source-gpu-based-monte-carlo-code-for-proton-dose-calculation-with-efficient-data-structure
MLA “MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/moqui-an-open-source-gpu-based-monte-carlo-code-for-proton-dose-calculation-with-efficient-data-structure.
BibTeX @misc{4ortxyz_moqui-an-open-source-gpu-based-monte-carlo-code-for-proton-dose-calculation-with-efficient-data-structure_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure}}, year = {2026}, url = {https://4ort.xyz/entity/moqui-an-open-source-gpu-based-monte-carlo-code-for-proton-dose-calculation-with-efficient-data-structure}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MOQUI: an open-source GPU-based Monte Carlo code for proton dose calculation with efficient data structure — https://4ort.xyz/entity/moqui-an-open-source-gpu-based-monte-carlo-code-for-proton-dose-calculation-with-efficient-data-structure (retrieved 2026-05-24)

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