A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO 2 RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs), with their undercoordinated sites, lattice strain, and excess free volume, present a promising strategy to overcome the activity–stability trade‐off. Yet, systematic reviews on GB engineering in electrocatalysis remain limited. This review provides a comprehensive framework, beginning with the fundamental formation mechanisms of GBs, integrating experimental and theoretical insights into the factors governing boundary evolution. Six synthesis methods—hydrothermal, electrodeposition, vapor phase, ball milling, molten salt, and laser ablation—are critically evaluated in terms of process parameters, resulting boundary characteristics, and practical trade‐offs. Their applications across five major electrocatalytic reactions are examined, correlating boundary features such as misorientation angle, type, and lattice strain with catalytic outcomes in activity, selectivity, and stability. We also explore the emerging role of machine learning in the rational design of GB architectures, including property prediction, phase discovery, and interpretable modeling. By integrating these aspects, this review establishes a unified framework for a rational design of high‐performance, boundary‐rich electrocatalysts for sustainable energy conversion.

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Publication Details

Journal
EcoEnergy
Published
2026-05-12
DOI
https://doi.org/10.1002/ece2.70074
Primary Topic
Machine Learning in Materials Science
Type
article
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article

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

Siyuan Feng, Fengming Zhou, Yujing Zhu, Xinying Li et al.
EcoEnergy
Machine Learning in Materials Science
article

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

Siyuan Feng, Fengming Zhou, Yujing Zhu, Xinying Li, Ying Deng, Zhenyu Xiao, Zexing Wu, Jingyu Gao, Dan Zhang
article en

Abstract

ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO 2 RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs), with their undercoordinated sites, lattice strain, and excess free volume, present a promising strategy to overcome the activity–stability trade‐off. Yet, systematic reviews on GB engineering in electrocatalysis remain limited. This review provides a comprehensive framework, beginning with the fundamental formation mechanisms of GBs, integrating experimental and theoretical insights into the factors governing boundary evolution. Six synthesis methods—hydrothermal, electrodeposition, vapor phase, ball milling, molten salt, and laser ablation—are critically evaluated in terms of process parameters, resulting boundary characteristics, and practical trade‐offs. Their applications across five major electrocatalytic reactions are examined, correlating boundary features such as misorientation angle, type, and lattice strain with catalytic outcomes in activity, selectivity, and stability. We also explore the emerging role of machine learning in the rational design of GB architectures, including property prediction, phase discovery, and interpretable modeling. By integrating these aspects, this review establishes a unified framework for a rational design of high‐performance, boundary‐rich electrocatalysts for sustainable energy conversion.

EcoEnergy
Qingdao University of Science and Technology (CN), Liaocheng University (CN), Qufu Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 9%
Machine Learning in Materials Science
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A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis — Siyuan Feng, Fengming Zhou, et al. · EcoEnergy (2026) | TGRS Research Map | TGRS