Modeling and Optimization of NLDH/PVDF Ultrafiltration Nanocomposite Membrane Using Artificial Neural Network-Genetic Algorithm Hybrid-Reference-Cited by-同舟云学术

Modeling and Optimization of NLDH/PVDF Ultrafiltration Nanocomposite Membrane Using Artificial Neural Network-Genetic Algorithm Hybrid

Published:2017-06-23 Issue:7 Volume:19 Page:464-477
ISSN:2156-8952
Container-title:ACS Combinatorial Science
language:en
Short-container-title:ACS Comb. Sci.

Author:

Arefi-Oskoui Samira¹,Khataee Alireza¹^ORCID,Vatanpour Vahid²

Affiliation:

1. Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, 51666-16471 Tabriz, Iran

2. Faculty of Chemistry, Kharazmi University, 15719-14911 Tehran, Iran

Funder

Iran National Science Foundation

Kharazmi University

University of Tabriz

Iran Science Elites Federation

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acscombsci.7b00046

Reference39 articles.

1. Application of sulfonic acid group functionalized graphene oxide to improve hydrophilicity, permeability, and antifouling of PVDF nanocomposite ultrafiltration membranes

2. Antifouling ultrafiltration membranes made from PAN-b-PEG copolymers: Effect of copolymer composition and PEG chain length

3. Progress in the production and modification of PVDF membranes

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