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Unveiling Ion-Transport Dynamics in 2D Nanofluidic Anion-Selective Membranes toward Osmotic Energy Harvesting.

Created on 08 Sep 2025

Authors

Mengwei Zhang, Yiqi Jing, Jiadong Tang, Shiwen Wang, Zihan Liu, Bing Liu, Zilong Zheng, Qianqian Zhang

Published in

Nano letters. Sep 08, 2025. Epub Sep 08, 2025.

Abstract

Two-dimensional (2D) nanofluidic architectures with nanoconfined interlayer channels and excess surface charges have revolutionized membrane-based reverse electrodialysis systems, demonstrating highly efficient osmotic energy collection through strong electrostatic screening of electric double layer (EDL). However, the ion-transport dynamics in 2D nanofluidic anion-selective membranes (2D-NAMs) still remain unexplored. Here, we combine density functional theory and molecular dynamics (MD) simulations to systematically explore ion transport in the 2D-NAMs. Ab initio MD simulations reveal that anions follow a rapid "sequential site-hopping" migration principle within the EDL-confined nanochannels. Classical MD simulations show that optimizing nanosheet layers, surface charge density, and migration pathways improves ion selectivity and permeability, boosting osmotic power output. Guided by these insights, a maximum power density of 5.86 W m-2 is achieved under a 50-fold salinity gradient mimicking seawater/river water, exceeding the benchmark for commercial viability. This work provides an atomic-level understanding of ion transport in 2D-NAMs and theoretical guidance for designing high-performance membranes for scalable osmotic energy harvesting.

PMID:
40920337
Bibliographic data and abstract were imported from PubMed on 08 Sep 2025.

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