4.7 Review

A review on desalination by graphene-based biomimetic nanopore: From the computational modelling perspective

Journal

JOURNAL OF MOLECULAR LIQUIDS
Volume 342, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.molliq.2021.117582

Keywords

Graphene; Nanopore; Computer simulation; Desalination; Biomimetic membrane

Funding

  1. Natural Science Foundation of Zhejiang Province [LY21B060004]
  2. Key Research and Development Plan of Zhejiang Province [2020C01008]
  3. National Natural Science Foundation of China [51702073, 21978060, 11904300]
  4. Hangzhou Dianzi University [KYS195618111]
  5. Key Fostering Project of Scientific Research of Hangzhou Normal University [2018PYXML006]

Ask authors/readers for more resources

This article discusses the application of graphene-based biomimetic membranes in seawater desalination, focusing on the gap between experimental and computational simulation results.
Reverse Osmosis (RO) for the desalination of saline water is associated with tremendous energy costs and low efficiency. Biomimetic membranes incorporate biological elements or borrow concepts, ideas or inspiration from biological systems. Such membranes can take advantage of the strategies evolved by nature over billions of years for improving transport efficiency and specificity. Biomimetic membrane based on graphene has achieved great progress on the desalination performance. With the development of nanotechnology and computational science, the computational simulation has been a powerful tool to uncover the atomic details in desalination by graphene based biomimetic nanomaterials. In this mini review, we will summarize the experiment of desalination by graphene-based nanomaterials and focus on computational simulation on the desalination by graphene-based nanomaterials. Especially, the gap between the results of experiment and simulation will be discussed in detail. (C) 2021 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available