Machine learning-assisted surrogate construction for full-core fuel performance analysis
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier BV
2023
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Online Access: | https://hdl.handle.net/1721.1/147652 |
_version_ | 1824458157100892160 |
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author | Che, Yifeng Yurko, Joseph Seurin, Paul Shirvan, Koroush |
author2 | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering |
author_facet | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Che, Yifeng Yurko, Joseph Seurin, Paul Shirvan, Koroush |
author_sort | Che, Yifeng |
collection | MIT |
first_indexed | 2024-09-23T12:31:20Z |
format | Article |
id | mit-1721.1/147652 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2025-02-19T04:21:25Z |
publishDate | 2023 |
publisher | Elsevier BV |
record_format | dspace |
spelling | mit-1721.1/1476522025-01-04T05:17:24Z Machine learning-assisted surrogate construction for full-core fuel performance analysis Che, Yifeng Yurko, Joseph Seurin, Paul Shirvan, Koroush Massachusetts Institute of Technology. Department of Nuclear Science and Engineering 2023-01-24T17:45:54Z 2023-01-24T17:45:54Z 2022 2023-01-24T17:42:51Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/147652 Che, Yifeng, Yurko, Joseph, Seurin, Paul and Shirvan, Koroush. 2022. "Machine learning-assisted surrogate construction for full-core fuel performance analysis." Annals of Nuclear Energy, 168. en 10.1016/J.ANUCENE.2021.108905 Annals of Nuclear Energy Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV arXiv |
spellingShingle | Che, Yifeng Yurko, Joseph Seurin, Paul Shirvan, Koroush Machine learning-assisted surrogate construction for full-core fuel performance analysis |
title | Machine learning-assisted surrogate construction for full-core fuel performance analysis |
title_full | Machine learning-assisted surrogate construction for full-core fuel performance analysis |
title_fullStr | Machine learning-assisted surrogate construction for full-core fuel performance analysis |
title_full_unstemmed | Machine learning-assisted surrogate construction for full-core fuel performance analysis |
title_short | Machine learning-assisted surrogate construction for full-core fuel performance analysis |
title_sort | machine learning assisted surrogate construction for full core fuel performance analysis |
url | https://hdl.handle.net/1721.1/147652 |
work_keys_str_mv | AT cheyifeng machinelearningassistedsurrogateconstructionforfullcorefuelperformanceanalysis AT yurkojoseph machinelearningassistedsurrogateconstructionforfullcorefuelperformanceanalysis AT seurinpaul machinelearningassistedsurrogateconstructionforfullcorefuelperformanceanalysis AT shirvankoroush machinelearningassistedsurrogateconstructionforfullcorefuelperformanceanalysis |