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Lillington, Joseph N.P., Goût, Thomas L., Harrison, Mike T., Farnan, Ian (2020) Predicting radioactive waste glass dissolution with machine learning. Journal of Non-Crystalline Solids, 533. 119852 doi:10.1016/j.jnoncrysol.2019.119852

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Reference TypeJournal (article/letter/editorial)
TitlePredicting radioactive waste glass dissolution with machine learning
JournalJournal of Non-Crystalline Solids
AuthorsLillington, Joseph N.P.Author
Goût, Thomas L.Author
Harrison, Mike T.Author
Farnan, IanAuthor
Year2020 (April)Volume533
PublisherElsevier BV
DOIdoi:10.1016/j.jnoncrysol.2019.119852Search in ResearchGate
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Mindat Ref. ID653282Long-form Identifiermindat:1:5:653282:0
GUID0
Full ReferenceLillington, Joseph N.P., Goût, Thomas L., Harrison, Mike T., Farnan, Ian (2020) Predicting radioactive waste glass dissolution with machine learning. Journal of Non-Crystalline Solids, 533. 119852 doi:10.1016/j.jnoncrysol.2019.119852
Plain TextLillington, Joseph N.P., Goût, Thomas L., Harrison, Mike T., Farnan, Ian (2020) Predicting radioactive waste glass dissolution with machine learning. Journal of Non-Crystalline Solids, 533. 119852 doi:10.1016/j.jnoncrysol.2019.119852
In(2020) Journal of Non-Crystalline Solids Vol. 533. Elsevier BV

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