Evidence map›Paper›PMID 40663608›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

A quantitative imaging framework for lithium morphology: Linking deposition uniformity to cycle stability in lithium metal batteries.

Jenny R Nicolas, Zeyu Hui, Qiushi Miao, Haichen Lin, Michael R Davidson, Ping Liu

Abstract read
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In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jenny R NicolasProgram in Materials Science and Engineering, University of California San Diego, La Jolla, CA 92093.
Zeyu HuiAiiso Yufeng Li Family Department of Nanoengineering, University of California San Diego, La Jolla, CA 92093.
Qiushi MiaoProgram in Materials Science and Engineering, University of California San Diego, La Jolla, CA 92093.
Haichen LinProgram in Materials Science and Engineering, University of California San Diego, La Jolla, CA 92093.
Michael R DavidsonDepartment of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-5035-8209
Ping LiuProgram in Materials Science and Engineering, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-1488-1668

Funding

Battery500 Consortium PNNL-595241
6 · The paper itself

Abstract

Characterizing the morphology of lithium (Li) is crucial for developing long-lasting lithium metal batteries. It is well established that more uniform Li deposition correlates with better cell performance. Li morphology is often characterized through qualitative analysis of scanning electron microscopy (SEM) images; however, there are no widely accepted metrics to quantitatively describe deposition uniformity. Here, we propose a framework to quantify uniformity through SEM image analysis via the index of dispersion (

Indexed as

batteryimage analysislithium metalmorphology

Identifiers

PMID40663608
PMCPMC12305041

What OpenQuestion holds

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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.