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Jang, Ho-Young, Kang, Jin-Kyu, Park, Jeong-Ann, Lee, Seung-Chan, Kim, Song-Bae (2020) Metal-organic framework MIL-100(Fe) for dye removal in aqueous solutions: Prediction by artificial neural network and response surface methodology modeling. Environmental Pollution, 267. 115583pp. doi:10.1016/j.envpol.2020.115583

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Reference TypeJournal (article/letter/editorial)
TitleMetal-organic framework MIL-100(Fe) for dye removal in aqueous solutions: Prediction by artificial neural network and response surface methodology modeling
JournalEnvironmental Pollution
AuthorsJang, Ho-YoungAuthor
Kang, Jin-KyuAuthor
Park, Jeong-AnnAuthor
Lee, Seung-ChanAuthor
Kim, Song-BaeAuthor
Year2020 (December)Volume267
PublisherElsevier BV
DOIdoi:10.1016/j.envpol.2020.115583Search in ResearchGate
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Mindat Ref. ID13295154Long-form Identifiermindat:1:5:13295154:0
GUID0
Full ReferenceJang, Ho-Young, Kang, Jin-Kyu, Park, Jeong-Ann, Lee, Seung-Chan, Kim, Song-Bae (2020) Metal-organic framework MIL-100(Fe) for dye removal in aqueous solutions: Prediction by artificial neural network and response surface methodology modeling. Environmental Pollution, 267. 115583pp. doi:10.1016/j.envpol.2020.115583
Plain TextJang, Ho-Young, Kang, Jin-Kyu, Park, Jeong-Ann, Lee, Seung-Chan, Kim, Song-Bae (2020) Metal-organic framework MIL-100(Fe) for dye removal in aqueous solutions: Prediction by artificial neural network and response surface methodology modeling. Environmental Pollution, 267. 115583pp. doi:10.1016/j.envpol.2020.115583
In(2020) Environmental Pollution Vol. 267. Elsevier BV

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