Fundamentals to Prospects: Synthetic Tuning of Covalent Organic Frameworks for Solid‐State Hydrogen Storage

Achieving optimal hydrogen storage performance in covalent organic frameworks (COFs) requires precise synthetic tuning to balance pore architecture, functionalization, and structural stability while ensuring scalability. However, significant challenges remain in translating laboratory-scale advancements into practical applications. This review critically examines the key challenges in COF synthesis, including the trade-off between porosity and functionalization, the need for precise control over hierarchical pore structures, and limitations in reproducibility and large-scale fabrication. We highlight the bottlenecks in current synthetic strategies, such as the difficulty in maintaining crystallinity while achieving high hydrogen binding affinity, and the challenges of integrating scalable synthesis techniques without compromising material performance. We explore emerging scalable synthesis approaches, including microwave-assisted, mechanochemical, and interfacial synthesis, which offer pathways toward industrial feasibility. Additionally, we discuss the future prospects of COF design, emphasizing the role of machine learning, high-throughput screening, and predictive modeling in accelerating material discovery and optimization. By integrating computational and experimental insights, we propose a data-driven roadmap for guiding the rational design of COFs, aiming to bridge the gap between fundamental research and practical hydrogen storage applications.

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Publication Details

Journal
Advanced Materials
Published
2026-07-25
DOI
https://doi.org/10.1002/adma.74347
Primary Topic
Covalent Organic Framework Applications
Type
article
Field-Weighted Citation Impact
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article

Fundamentals to Prospects: Synthetic Tuning of Covalent Organic Frameworks for Solid‐State Hydrogen Storage

Xibao Li, Wulyu Jiang, Mengshan Chen, Yingtang Zhou et al.
Advanced Materials
Covalent Organic Framework Applications
article

Fundamentals to Prospects: Synthetic Tuning of Covalent Organic Frameworks for Solid‐State Hydrogen Storage

Xibao Li, Wulyu Jiang, Mengshan Chen, Yingtang Zhou, Lidong Sun, Qiannan Zhao, Kaiwen Wang, Lu Xia, Linlin Yang, Tengyu Chen, Yue Hu, Xueya Zhu, Kaiqi Zhao
article en

Abstract

Achieving optimal hydrogen storage performance in covalent organic frameworks (COFs) requires precise synthetic tuning to balance pore architecture, functionalization, and structural stability while ensuring scalability. However, significant challenges remain in translating laboratory-scale advancements into practical applications. This review critically examines the key challenges in COF synthesis, including the trade-off between porosity and functionalization, the need for precise control over hierarchical pore structures, and limitations in reproducibility and large-scale fabrication. We highlight the bottlenecks in current synthetic strategies, such as the difficulty in maintaining crystallinity while achieving high hydrogen binding affinity, and the challenges of integrating scalable synthesis techniques without compromising material performance. We explore emerging scalable synthesis approaches, including microwave-assisted, mechanochemical, and interfacial synthesis, which offer pathways toward industrial feasibility. Additionally, we discuss the future prospects of COF design, emphasizing the role of machine learning, high-throughput screening, and predictive modeling in accelerating material discovery and optimization. By integrating computational and experimental insights, we propose a data-driven roadmap for guiding the rational design of COFs, aiming to bridge the gap between fundamental research and practical hydrogen storage applications.

Advanced Materials
Chongqing University (CN), Zhejiang Ocean University (CN), Institut de Recerca en Energia de Catalunya (ES), RWTH Aachen University (DE), Nanchang Hangkong University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Covalent Organic Framework Applications
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