.png){kind=icon}
.png){kind=icon}
Return
Magneto-Electrocatalysis: A Multiscale Perspective on Designing High-Efficiency Electrocatalysts for Clean Energy
.png){kind=icon}
OA
AI
S
L
L
X
H
林
X
J
DOI：10.1002/bte2.70139.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The development of highly efficient electrocatalysts is pivotal to advancing clean energy conversion technologies, as performance directly dictates the efficiency, stability, and scalability of energy-related processes. Leveraging external magnetic fields to bypass kinetic barriers via multiscale manipulation spanning quantum, nanoscale, and mesoscopic dimensions has emerged as a transformative strategy to transcend the inherent constraints of conventional thermodynamic scaling relations. This review systematically elucidates the mechanisms through which magnetic modulation enhances the intrinsic activity of catalysts during the synthesis stage. At the quantum scale, field-induced spin polarization reconfigures metal–ligand orbital hybridization to intrinsically lower reaction energy barriers. At the atomic scale, an analysis of the synergy between magnetic Gibbs free energy, Lorentz-driven magnetohydrodynamic vortices, and Kelvin forces reveals the fundamental principles governing accelerated interfacial mass transport and regulated gas evolution. Finally, at the mesoscopic scale, magnetic field-directed assembly leverages magnetic dipole interactions and magnetocrystalline anisotropy to construct ordered hierarchical architectures. By establishing clear structure-activity relationships between magnetic field-assisted synthesis, multiscale structural regulation, and catalytic performance enhancement, this review aims to provide new insights to overcome the current bottleneck in electrocatalyst design and to guide the development of next-generation magnetically responsive electrocatalysts for clean energy conversion.
Keywords:
electrocatalysis
magnetic field-assisted synthesis
multi-scale engineering
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.9
Papers:
323
Citations:
1.1K
Organization
Cited Papers