Magnetic resonance imaging techniques for lithium-ion batteries: Principles and applications.

Hongxin Lin, Yanting Jin, Mingming Tao, Yingao Zhou, Peizhao Shan, Danhui Zhao, Yong Yang

Abstract readReview

In one paragraph

Review in Magnetic resonance letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

Atomic-Scale Imaging of Lithium Vacancies in a Battery Cathode by Multislice Electron Ptychography.Nano letters · 2026
Article
Advanced Analysis Techniques for Elucidating Failure Mechanisms in Silicon Anodes for Li-Ion Batteries.Small (Weinheim an der Bergstrasse, Germany) · 2026
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hongxin LinState Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM), Xiamen University, Xiamen, 361005, China.

Yanting JinState Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM), Xiamen University, Xiamen, 361005, China.

Mingming TaoState Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM), Xiamen University, Xiamen, 361005, China.

Yingao ZhouState Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM), Xiamen University, Xiamen, 361005, China.

Peizhao ShanState Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM), Xiamen University, Xiamen, 361005, China.

Danhui ZhaoState Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM), Xiamen University, Xiamen, 361005, China.

Yong YangState Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM), Xiamen University, Xiamen, 361005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operando monitoring of internal and local electrochemical processes within lithium-ion batteries (LIBs) is crucial, necessitating a range of non-invasive, real-time imaging characterization techniques including nuclear magnetic resonance (NMR) techniques. This review provides a comprehensive overview of the recent applications and advancements of non-invasive magnetic resonance imaging (MRI) techniques in LIBs. It initially introduces the principles and hardware of MRI, followed by a detailed summary and comparison of MRI techniques used for characterizing liquid/solid electrolytes, electrodes and commercial batteries. This encompasses the determination of electrolytes' transport properties, acquisition of ion distribution profile, and diagnosis of battery defects. By focusing on experimental parameters and optimization strategies, our goal is to explore MRI methods suitable to a variety of research subjects, aiming to enhance imaging quality across diverse scenarios and offer critical physical/chemical insights into the ongoing operation processes of LIBs.

Indexed as

Commercial batteriesElectrodesElectrolytesLithium-ion batteriesMagnetic resonance imaging (MRI)

Identifiers

PMID40917554

DOI10.1016/j.mrl.2024.200113

PMCPMC12406587

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LicenceCC BY-NC-ND

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.