ArticleACS omega2026
Advanced Electrochemical Diagnostics Validation for Early Detection of Lithium Plating in Lithium-Ion Batteries.
Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing push for electrified transportation and stationary energy storage demands that lithium-ion batteries (LIBs) perform under more aggressive charging conditions. Meeting such requirements without compromising safety remains a key challenge for the industry. One of the persistent obstacles to achieving fast safe charging is lithium plating, a degradation process that leads to capacity fading, increased internal resistance, and elevated safety risks (e.g., internal short-circuits). In this study, we combine in situ electrochemical diagnostics, specifically incremental capacity analysis (ICA), differential voltage analysis (DVA), and electrochemical impedance spectroscopy (EIS), with post-mortem characterization methods, including computed tomography (CT), scanning electron microscopy (SEM), X-ray diffraction (XRD), solid-state
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Registered trials
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.