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Lee, Deokjung
Computational Reactor physics & Experiment Lab.
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dc.citation.conferencePlace US -
dc.citation.endPage 1810 -
dc.citation.startPage 1802 -
dc.citation.title 2025 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025 -
dc.contributor.author Mohanty, Saisundar -
dc.contributor.author Dzianisau, Siarhei -
dc.contributor.author Aygul, Murat Serdar -
dc.contributor.author Lee, Deokjung -
dc.date.accessioned 2025-11-25T15:18:13Z -
dc.date.available 2025-11-25T15:18:13Z -
dc.date.created 2025-11-24 -
dc.date.issued 2025-04-28 -
dc.description.abstract Whole-core transient simulations with high-fidelity, pin-resolved details are vital for multi-physics reactor applications, driven by the increasing need for accuracy in nuclear reactor design. However, these simulations are computationally intensive. To overcome this challenge, a GPU-based Method of Characteristics (MOC) Transient Fixed Source Problem (TFSP) solver has been developed and incorporated into the STREAM Transient code, significantly enhancing the speed of neutron transient simulations. By leveraging GPUs' parallel processing capabilities, this approach substantially reduces the computational time for direct whole-core transport calculations. The GPU-optimized solver was validated using the C5G7-TD transport transient benchmark, its effectiveness in simulating heterogeneous problems, including both step and linear control rod movements. The demonstrating results show that the 2D transient transport solver performs well, with further optimization of time steps. -
dc.identifier.bibliographicCitation 2025 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025, pp.1802 - 1810 -
dc.identifier.doi 10.13182/MC25-47507 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/88420 -
dc.language 영어 -
dc.publisher American Nuclear Society -
dc.title Implementation and performance analysis of the Transient Solver in STREAM3D-GPU -
dc.type Conference Paper -
dc.date.conferenceDate 2025-04-27 -

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