Asymmetric Porous Ion-Solvating Membranes with a Well-Defined Two-Layer Structure for High-Efficiency Alkaline Water Electrolysis

Abstract Poly(oxindole biphenylene) ion-solvating membranes (POBP-ISMs) have emerged as promising candidate membrane materials for use in hydrogen production through alkaline water electrolysis (AWE), owing to their exceptional alkaline stability. However, their dense architecture leads to insufficient exposure of functional groups, resulting in low electrolyte uptake and substantial ion transport resistance, which collectively limit ionic conductivity and compromise the durable, high-efficiency performance of AWE. To overcome this limitation, we prepared an asymmetric porous POBP (AP-POBP) membrane using a two-step nonsolvent-induced phase separation (NIPS) method. The AP-POBP membrane has a two-layer structure, including a thin and dense surface layer and a highly porous support layer. This unique structure simultaneously enhances ionic conductivity, superior gas barrier, and high chemical stability performance of ISMs. Noticeably, the Ni-based AWE with the obtained AP-POBP ISM achieved a high current density of 2.4 A cm−2 at 2.0 V, superior to that of a dense membrane (0.25 A cm−2). It maintained stable operation for 800 h at 2 A cm−2 with no appreciable membrane degradation. These results demonstrate that the introduction of an asymmetric porous two-layer architecture represents a simple yet effective strategy for designing advanced ISMs with precisely controlled porous morphologies, enabling superior comprehensive performance in AWE applications.

Authors

Institutions

Publication Details

Journal
ACS Applied Energy Materials
Published
2026-09-18
DOI
https://doi.org/10.1021/acsaem.6c02490
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Asymmetric Porous Ion-Solvating Membranes with a Well-Defined Two-Layer Structure for High-Efficiency Alkaline Water Electrolysis

Nanwen Li, Erqiang Yang, Xu Hu, Xin Wang
ACS Applied Energy Materials
Fuel Cells and Related Materials
article

Asymmetric Porous Ion-Solvating Membranes with a Well-Defined Two-Layer Structure for High-Efficiency Alkaline Water Electrolysis

Nanwen Li, Erqiang Yang, Xu Hu, Xin Wang
article en

Abstract

Abstract Poly(oxindole biphenylene) ion-solvating membranes (POBP-ISMs) have emerged as promising candidate membrane materials for use in hydrogen production through alkaline water electrolysis (AWE), owing to their exceptional alkaline stability. However, their dense architecture leads to insufficient exposure of functional groups, resulting in low electrolyte uptake and substantial ion transport resistance, which collectively limit ionic conductivity and compromise the durable, high-efficiency performance of AWE. To overcome this limitation, we prepared an asymmetric porous POBP (AP-POBP) membrane using a two-step nonsolvent-induced phase separation (NIPS) method. The AP-POBP membrane has a two-layer structure, including a thin and dense surface layer and a highly porous support layer. This unique structure simultaneously enhances ionic conductivity, superior gas barrier, and high chemical stability performance of ISMs. Noticeably, the Ni-based AWE with the obtained AP-POBP ISM achieved a high current density of 2.4 A cm−2 at 2.0 V, superior to that of a dense membrane (0.25 A cm−2). It maintained stable operation for 800 h at 2 A cm−2 with no appreciable membrane degradation. These results demonstrate that the introduction of an asymmetric porous two-layer architecture represents a simple yet effective strategy for designing advanced ISMs with precisely controlled porous morphologies, enabling superior comprehensive performance in AWE applications.

ACS Applied Energy Materials
Xinjiang Normal University (CN), Xinzhou Teachers University (CN), Shanxi Normal University (CN), Shenzhen Technology University (CN), Institute of Coal Chemistry (CN)
Natural Science Foundation of Shanxi Province
Openalex Percentile: Top 20%
Fuel Cells and Related Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.