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Cited by 268

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

Electrochemistry in Magnetic Fields

Open access
Luo, Songzhu, Elouarzaki, Kamal, Xu, Zhichuan J.·2022·Angewandte Chemie International Edition

Abstract

Developing new strategies to advance the fundamental understanding of electrochemistry is crucial to mitigating multiple contemporary technological challenges. In this regard, magnetoelectrochemistry offers many strategic advantages in controlling and understanding electrochemical reactions that might be tricky to regulate in conventional electrochemical fields. However, the topic is highly interdisciplinary, combining concepts from electrochemistry, hydrodynamics, and magnetism with experimental outcomes that are sometimes unexpected. In this Review, we survey recent advances in using a magnetic field in different electrochemical applications organized by the effect of the generated forces on fundamental electrochemical principles and focus on how the magnetic field leads to the observed results. Finally, we discuss the challenges that remain to be addressed to establish robust applications capable of meeting present needs.

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Crossref · 10.1002/anie.202203564

Cites

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Metadata

Authors
Luo, S., Elouarzaki, K., & Xu, Z. J.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2022-05-25
Volume
61
Issue
27
Pages
e202203564-e202203564
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W4225419787
Cited by
268
References
109
FWCI
17.63
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Electrochemistry in Magnetic Fields. https://app.cochat.ai/papers/10.1002/anie.202203564
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Luo, S., Elouarzaki, K., & Xu, Z. J. (2022). Electrochemistry in Magnetic Fields. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.202203564

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.