Evidence map›Paper›PMID 39018401›Full record

ArticleScience advances2024

Dynamic STEM-EELS for single-atom and defect measurement during electron beam transformations.

Kevin M Roccapriore, Riccardo Torsi, Joshua Robinson, Sergei Kalinin, Maxim Ziatdinov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Quantitative Electron Beam-Single Atom Interactions Enabled by Sub-20-pm Precision Targeting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

5 authors.

Kevin M RoccaprioreCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0001-9907-6790
Riccardo TorsiDepartment of Materials Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0001-7748-1074
Joshua RobinsonDepartment of Materials Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-1513-7187
Sergei KalininDepartment of Materials Science and Engineering, Institute for Advanced Materials and Manufacturing, University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0001-5354-6152
Maxim ZiatdinovCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0003-2570-4592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces the integration of dynamic computer vision-enabled imaging with electron energy loss spectroscopy (EELS) in scanning transmission electron microscopy (STEM). This approach involves real-time discovery and analysis of atomic structures as they form, allowing us to observe the evolution of material properties at the atomic level, capturing transient states traditional techniques often miss. Rapid object detection and action system enhances the efficiency and accuracy of STEM-EELS by autonomously identifying and targeting only areas of interest. This machine learning (ML)-based approach differs from classical ML in that it must be executed on the fly, not using static data. We apply this technology to V-doped MoS

Identifiers

PMID39018401
PMCPMC466940

What OpenQuestion holds

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LicenceCC BY
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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.