Evidence map›Paper›PMID 42210542›Full record

ArticleNano letters2026

Atomic-Scale Imaging of Lithium Vacancies in a Battery Cathode by Multislice Electron Ptychography.

Dasol Yoon, Harikrishnan Kp, Eleanor Richard, Yu-Tsun Shao, Yao Yang, Hector D Abruña, David A Muller

Abstract read
In one paragraph

Article in Nano letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Dasol YoonDepartment of Materials Science and Engineering, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0003-2284-7010
Harikrishnan KpSchool of Applied and Engineering Physics, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0002-7706-2758
Eleanor RichardSchool of Applied and Engineering Physics, Cornell University, Ithaca, New York 14853, United States.
Yu-Tsun ShaoMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089, United States.ORCID 0000-0002-5574-0490
Yao YangDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0003-0321-3792
Hector D AbruñaDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0002-3948-356X
David A MullerDepartment of Materials Science and Engineering, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0003-4129-0473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomic-resolution imaging of battery materials is critical for identification of local defects and structural variations, which are tied to battery performance. However, since battery materials are, by design, optimized to allow ion motion in response to an applied electric field, they are also very sensitive to radiation damage by an electron beam. Image resolution is therefore severely constrained by the dose applied. Here, we show that multislice electron ptychography (MEP) can provide sub-ångström lateral resolution images of both light and heavy elements of a Li-ion battery cathode, along with nanometer-scale depth information and greater dose efficiency than conventional electron microscopy methods. Using the depth-sectioning capability of MEP, we have been able to obtain direct visualizations of Li vacancy clusters, atom column by atom column, in Li

Indexed as

battery cathodesdepth sensitivitylithium vacanciesmultislice electron ptychography

Identifiers

PMID42210542
PMCPMC13281515

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.