dc.citation.conferencePlace |
US |
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dc.citation.endPage |
1779 |
- |
dc.citation.startPage |
1770 |
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dc.citation.title |
2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 |
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dc.contributor.author |
Lee, H |
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dc.contributor.author |
Kim, W |
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dc.contributor.author |
Zhang, P |
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dc.contributor.author |
Lemaire, M |
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dc.contributor.author |
Khassenov, A |
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dc.contributor.author |
Jo, Y |
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dc.contributor.author |
Park, J |
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dc.contributor.author |
Yu, J |
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dc.contributor.author |
Lee, Deokjung |
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dc.date.accessioned |
2024-02-01T00:05:53Z |
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dc.date.available |
2024-02-01T00:05:53Z |
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dc.date.created |
2020-01-29 |
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dc.date.issued |
2019-08-25 |
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dc.description.abstract |
A Monte Carlo code MCS has been developed at Ulsan National Institute of Science and Technology (UNIST) for the purpose of the multi-physics simulation of power reactors, especially pressurized water reactors (PWRs). This paper presents the features of MCS and demonstrates its performance for the multi-physics multi-cycle simulation of the BEAVRS reactor benchmark Cycle 1 & 2. |
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dc.identifier.bibliographicCitation |
2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019, pp.1770 - 1779 |
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dc.identifier.issn |
0000-0000 |
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dc.identifier.scopusid |
2-s2.0-85075362943 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/79357 |
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dc.language |
영어 |
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dc.publisher |
American Nuclear Society |
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dc.title |
Development of Monte Carlo multi-physics code MCS for power reactor analysis |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2019-08-25 |
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