Qian Zhang, Yawen Hao, Hongjun Chen, Jialu Li, Yifan Zeng, Jinqi Xiong, Yaoti Cheng, Antonio Tricoli, Fengwang Li
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引用次数: 0
Abstract
Alkaline water electrolysis (AWE) offers a promising route for scalable renewable hydrogen production but is constrained by significant multiscale mass-transport challenges that limit its efficiency and durability. Recent advances in hierarchical membrane structures, gradient porous electrodes, and optimized flow-field designs have enhanced ionic conductivity, gas separation, and electrolyte distribution. Concurrently, innovative bubble-management strategies, including surface modifications and external-field assistance, effectively mitigate gas-induced transport bottlenecks. Looking forward, emerging intelligent interface platforms that integrate adaptive materials, embedded sensors, and AI-driven digital twins promise real-time mass transport control and predictive system optimization. This review synthesizes critical progress and outlines future pathways, emphasizing that integrated materials-to-system approaches are essential for advancing robust, efficient, and economically viable hydrogen production.
期刊介绍:
Established in 2011, Advanced Energy Materials is an international, interdisciplinary, English-language journal that focuses on materials used in energy harvesting, conversion, and storage. It is regarded as a top-quality journal alongside Advanced Materials, Advanced Functional Materials, and Small.
With a 2022 Impact Factor of 27.8, Advanced Energy Materials is considered a prime source for the best energy-related research. The journal covers a wide range of topics in energy-related research, including organic and inorganic photovoltaics, batteries and supercapacitors, fuel cells, hydrogen generation and storage, thermoelectrics, water splitting and photocatalysis, solar fuels and thermosolar power, magnetocalorics, and piezoelectronics.
The readership of Advanced Energy Materials includes materials scientists, chemists, physicists, and engineers in both academia and industry. The journal is indexed in various databases and collections, such as Advanced Technologies & Aerospace Database, FIZ Karlsruhe, INSPEC (IET), Science Citation Index Expanded, Technology Collection, and Web of Science, among others.