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CaNel - Calibration of fuel performance codes: Addressing unknown uncertainty on calibration parameters
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.ORCID iD: 0000-0001-5296-7430
2023 (English)Conference paper, Oral presentation only (Other academic)
Place, publisher, year, edition, pages
2023.
National Category
Subatomic Physics
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URN: urn:nbn:se:uu:diva-517470OAI: oai:DiVA.org:uu-517470DiVA, id: diva2:1818020
Conference
NEA Materials Modelling and Simulation for Nuclear Fuels (MMSNF) Workshop 2023, 28-30 November, McMaster University, Hamilton, Ontario, Canada
Available from: 2023-12-08 Created: 2023-12-08 Last updated: 2023-12-08

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fulltext(2526 kB)93 downloads
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File name FULLTEXT02.pdfFile size 2526 kBChecksum SHA-512
41da9d7b09ae3da815e33c459d8fe97d5925d5f04ff48849209e9660ded9602afd7ac23884f91d466d0db925932018d6442b1459b864fe13ac1c725a12f29543
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Robertson, Gustav

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Applied Nuclear Physics
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Total: 93 downloads
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CiteExportLink to record
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Citation style
  • apa
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