Ultra-high Energy Resolution EELS and 4D STEM at Cryogenic Temperatures

Plotkin-Swing, Benjamin; Mittelberger, Andreas; Haas, Benedikt; Idrobo, Juan Carlos; Graner, Beate; Dellby, Niklas; Hotz, M.; Meyer, Cody; Quillin, Steven C.; Krivanek, Ondrej L.; Lovejoy, Tracy C.

doi:10.1093/micmic/ozad067.875

Cited by 3 publications

(1 citation statement)

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“…Last, to access the low-energy excitation regime in STEM-EELS, a form of monochromation is needed. While energy resolutions down to 2.6 meV (at 20-keV primary energy) have been reported ( 37 ), the monochromator itself imparts several additional aberrations to the electron probe. This also can affect image generation, making repeatable atomic resolution challenging.…”

Section: Resultsmentioning

confidence: 99%

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

Roccapriore,

Torsi,

Robinson

et al. 2024

Sci. Adv.

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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 2 , uncovering insights into defect formation and evolution under electron beam exposure. This approach opens uncharted avenues for exploring and characterizing materials in dynamic states, offering a pathway to increase our understanding of dynamic phenomena in materials under thermal, chemical, and beam stimuli.

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Section: Resultsmentioning

confidence: 99%