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Updated: May 19, 2026

Picometer-Precision Atomic Position Tracking through Electron Microscopy
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Machine Learning-Enabled Fast-Scan STEM for the Precise Identification of Labile Single-Atom Sites.

Ruining Jiang1, Haiyang Zhang2, Ruirui Liu1

  • 1Tianjin Key Lab of Advanced Functional Porous Materials, Institute for New Energy Materials and Low Carbon Technologies, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.

Nano Letters
|May 18, 2026
PubMed
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This summary is machine-generated.

Machine learning enhances fast scanning transmission electron microscopy (STEM) to precisely track individual platinum atoms on MoS2 supports. This reveals dynamic atomic displacements and local electric field variations in single-atom catalysts (SACs).

Area of Science:

  • Materials Science
  • Catalysis
  • Nanotechnology

Background:

  • Single-atom catalysts (SACs) performance depends critically on their local atomic environment.
  • Resolving transient atomic configurations is challenging due to thermal fluctuations and electron-beam effects.
  • Conventional scanning transmission electron microscopy (STEM) suffers from noise and long dwell times, obscuring dynamic processes.

Purpose of the Study:

  • To introduce a machine-learning-enhanced fast-scan STEM methodology for accurate single-atom localization.
  • To investigate the dynamic structural disorder and local electric field heterogeneity of platinum atoms on MoS2.
  • To establish a computational framework for atomic-scale structure resolution under noisy imaging conditions.

Main Methods:

  • Development and application of a machine-learning-enhanced fast-scan STEM technique.
Keywords:
Pt Single-atom catalystslow signal-to-noise ratio STEM image identificationmachine learning

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  • Differential phase contrast (DPC) imaging for analyzing local electric fields.
  • Computational framework for resolving atomic structures from noisy images.

    • Main Results:

    • Accurate identification and localization of individual platinum atoms on MoS2 supports were achieved.
    • Random atomic displacements of approximately 3.2% relative to ideal lattice sites were quantified.
    • Persistent heterogeneity in the local electric field across platinum atomic columns was observed.

    Conclusions:

    • Single-atom sites exist in a highly dynamic, non-ideal equilibrium state.
    • The developed methodology overcomes limitations of high-noise imaging in STEM.
    • This study provides crucial insights into the dynamic nature of SACs at the atomic scale.