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For: Harami HR, Amirkhani F, Abedsoltan H, Younas M, Rezakazemi M, Sheikh M, Shirazian S. Mixed Matrix Membranes for Sustainable Electrical Energy‐Saving Applications. CBEN 2021. [DOI: 10.1002/cben.202000019] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Number Cited by Other Article(s)
1
Optimization and design of machine learning computational technique for prediction of physical separation process. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103680] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]  Open
2
Zhu X, Wang X, Liu K, Zhou S, Alqsair UF, El-Shafay A. Machine learning simulation of Cr (VI) separation from aqueous solutions via a hierarchical nanostructure material. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
3
Chen L, Huang H, Thangavelu L, Abdelbasset WK, Bokov DO, Algarni M, Ghazali S, Alashwal M. Optimization and comparison of machine learning methods in estimation of carbon dioxide loading in chemical solvents for environmental applications. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
4
Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118527] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
5
Syah R, Piri F, Elveny M, Khan A. Artificial Intelligence simulation of water treatment using nanostructure composite ordered materials. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2021.117046] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
6
Ding Y, Jin Y, Yao B, Khan A. Artificial intelligence based simulation of Cd(II) adsorption separation from aqueous media using a nanocomposite structure. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117772] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
7
Lavanya C, Kusuma J, Geetha Balakrishna R. Pyrochlores: oxygen-rich moieties as ceramic fillers in uplifting the antifouling property and dye removal capacity of polymeric membranes. Sep Purif Technol 2021. [DOI: 10.1016/j.seppur.2021.118946] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
8
Neural modeling and simulation of molecular separation using amino acid salt solutions. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.116473] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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