Evidence map›Paper›PMID 41339389›Full record

ArticleScientific reports2025

Theoretical investigation of electrodialysis-driven salt ion transport in pillared graphene membranes.

Amin Hamed Mashhadzadeh, Maryam Zarghami Dehaghani, Salah A Faroughi, Konstantinos V Kostas

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Amin Hamed MashhadzadehDepartment of Chemical Engineering, University of Utah, Salt Lake City, UT, 84112, USA. amin.hamedmashhadzadeh@utah.edu.
Maryam Zarghami DehaghaniInstitute for Materials and Processes, School of Engineering, University of Edinburgh, Sanderson Building, Robert Stevenson Road, EH9 3FB, Edinburgh, Scotland, UK.
Salah A FaroughiDepartment of Chemical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
Konstantinos V KostasDepartment of Mechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Ave., 010000, Astana, Kazakhstan.

Funding

Department of Energy's Office of Environmental Management (DOE-EM) DE-EM0005314FDA HHS U18 FD004734Machine Learning-Assisted Design of Membranes for Wastewater Treatment, Desalination and Gas-Separation - ML-BRANES 040225FD4734Nazarbayev University Collaborative Research Project (CRP) 20122022CRP1607
6 · The paper itself

Abstract

Electrodialysis (ED) is a sustainable desalination method that leverages electric fields to drive ion separation, offering advantages such as energy efficiency and reduced environmental impact. While nanomaterials have shown promise for enhancing ED membrane performance, the ion transport mechanisms in three-dimensional architectures remain insufficiently understood. In this study, we employ non-equilibrium molecular dynamics (MD) simulations to investigate the performance of pillared graphene (PG) membranes, composed of graphene sheets and vertically aligned carbon nanotubes (CNTs), under varying electric field strengths. The simulations revealed that an increase in electric field intensity significantly enhances the efficiency of Na[Formula: see text] and Cl[Formula: see text] ion separation within the PG membrane structure. Specifically, stronger electric fields reduce the energy barrier for Na[Formula: see text] and Cl[Formula: see text] ion movement through the CNT channels, leading to higher self-diffusion coefficients and more effective ion permeation. Moreover, our findings indicate that Cl[Formula: see text] ions exhibit higher mobility than Na[Formula: see text] ions under identical conditions, suggesting an asymmetric response to the applied electric field that could influence selective ion transport in ED applications. The findings provide molecular-level insights into how PG membranes facilitate selective ion transport, a critical factor in optimizing ED performance for desalination and water purification applications.

Indexed as

ElectrodialysisMolecular dynamics simulationsPillared grapheneStatic electric fieldWater desalination

Identifiers

PMID41339389
PMCPMC12678828

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