Spectral–Spatial EPR Imaging as a Single-Window Probe for Both Macro-Distribution and Micro-Architecture of Lithium Deposits

An ideal diagnostic for metallic lithium anodes should be noninvasive and can concurrently probe from submicrometer dendrites to millimeter-scale plating distribution due to the multiscale differences in deposit architectures. Here we show that spectral-spatial electron paramagnetic resonance imaging (EPRI) fulfils this need by resolving the Dysonian line shape of Li deposits at every pixel of the electrode plane. The spectral parameters of asymmetry ratio A/B, peak-to-peak line width Δ<i>B</i><sub>pp</sub> and double integral (DI) are correlated to microstructure thickness, packing compactness and deposit quantity, respectively, and then mapped onto two-dimensional images to quantitatively characterize the full macro-to-micro landscape of Li deposits. Comparing the conventional and customized electrolytes shows the latter delivers markedly more homogeneous macroscopic distribution, denser deposition and thicker microstructures. By artificially imposing pressure imbalance on the cell, it further reveals that compression dictates packing compactness yet hardly alters microstructure thickness, while dead Li preferentially accumulates in the low-pressure region. This EPRI approach provides statistically robust, multiscale descriptors for studying and designing next-generation Li-metal-based anodes.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2026-01-29
DOI
https://doi.org/10.1021/acs.jpclett.5c03901
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spectral–Spatial EPR Imaging as a Single-Window Probe for Both Macro-Distribution and Micro-Architecture of Lithium Deposits

Fushan Geng, Bingwen Hu, Xiaobing Lou
The Journal of Physical Chemistry Letters
Advanced Battery Materials and Technologies
article

Spectral–Spatial EPR Imaging as a Single-Window Probe for Both Macro-Distribution and Micro-Architecture of Lithium Deposits

Fushan Geng, Bingwen Hu, Xiaobing Lou
article en

Abstract

An ideal diagnostic for metallic lithium anodes should be noninvasive and can concurrently probe from submicrometer dendrites to millimeter-scale plating distribution due to the multiscale differences in deposit architectures. Here we show that spectral-spatial electron paramagnetic resonance imaging (EPRI) fulfils this need by resolving the Dysonian line shape of Li deposits at every pixel of the electrode plane. The spectral parameters of asymmetry ratio A/B, peak-to-peak line width Δ<i>B</i><sub>pp</sub> and double integral (DI) are correlated to microstructure thickness, packing compactness and deposit quantity, respectively, and then mapped onto two-dimensional images to quantitatively characterize the full macro-to-micro landscape of Li deposits. Comparing the conventional and customized electrolytes shows the latter delivers markedly more homogeneous macroscopic distribution, denser deposition and thicker microstructures. By artificially imposing pressure imbalance on the cell, it further reveals that compression dictates packing compactness yet hardly alters microstructure thickness, while dead Li preferentially accumulates in the low-pressure region. This EPRI approach provides statistically robust, multiscale descriptors for studying and designing next-generation Li-metal-based anodes.

The Journal of Physical Chemistry LettersVol. 17(6)
Resonance Research (United States) (US), East China Normal University (CN)
Sustainable cities and communities
Openalex Percentile: Top 75%
Advanced Battery Materials and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spectral–Spatial EPR Imaging as a Single-Window Probe for Both Macro-Distribution and Micro-Architecture of Lithium Deposits — Fushan Geng, Bingwen Hu, et al. · The Journal of Physical Chemistry Letters (2026) | TGRS Research Map | TGRS