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SAR and QSAR in Environmental Research Volume 29, 2018 - Issue 12
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Articles

An exploratory study using QICAR models for prediction of adsorption capacity of multi-walled carbon nanotubes for heavy metal ions

M. SalahinejadMaterials and Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, Tehran, IranCorrespondence[email protected]
&
E. ZolfonounApplied Radiation Research School, Nuclear Science and Technology Research Institute, Tehran, Iran
Pages 997-1009 | Received 26 Aug 2018, Published online: 09 Nov 2018

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Ehsan Zolfonoun & Maryam Salahinejad. (2022) Nano-quantitative ion character–activity relationships of adsorption of rare earth ions on multi-walled carbon nanotubes. International Journal of Environmental Analytical Chemistry 102:13, pages 3083-3093.
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Gang Li, Jinli Zhang, Yu Li, Jia Liu & Zhen Yan. (2021) Adsorption characteristics of Pb(II), Cd(II) and Cu(II) on carbon nanotube-hydroxyapatite. Environmental Technology 42:10, pages 1560-1581.
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Articles from other publishers (3)

Hiromasa Kaneko. (2021) Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables. Heliyon 7:6, pages e07356.
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Suraj Kumar Bhagat, Tran Minh Tung & Zaher Mundher Yaseen. (2020) Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research. Journal of Cleaner Production 250, pages 119473.
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Probir Kumar Ojha, Dipika Mandal & Kunal Roy. 2020. Ecotoxicological QSARs. Ecotoxicological QSARs 477 511 .

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