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Creators/Authors contains: "Smeaton, Michelle A."

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  1. ; ; ; ; (, Nano Letters)
    Free, publicly-accessible full text available November 19, 2026
  2. ; ; ; ; ; ; (, Physical Review Materials)
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  3. ; ; ; ; ; ; ; ; ; (, APL Machine Learning)
    What does materials science look like in the “Age of Artificial Intelligence?” Each material’s domain—synthesis, characterization, and modeling—has a different answer to this question, motivated by unique challenges and constraints. This work focuses on the tremendous potential of autonomous characterization within electron microscopy. We present our recent advancements in developing domain-aware, multimodal models for microscopy analysis capable of describing complex atomic systems. We then address the critical gap between the theoretical promise of autonomous microscopy and its current practical limitations, showcasing recent successes while highlighting the necessary developments to achieve robust, real-world autonomy. 
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  4. ; ; ; ; ; ; (, Microscopy and Microanalysis)
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  5. ; ; ; ; (, Nano Letters)
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  6. ; ; ; ; (, Microscopy and Microanalysis)
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  7. ; ; ; ; ; ; ; ; ; ; et al (, ACS Nano)
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  8. ; ; ; ; ; ; (, Journal of Vacuum Science & Technology A)
    We demonstrate the epitaxial growth of the first two members, and the [Formula: see text] member of the homologous Ruddlesden–Popper series of [Formula: see text] of which the [Formula: see text] member was previously unknown. The films were grown by suboxide molecular-beam epitaxy where the indium is provided by a molecular beam of indium-suboxide [[Formula: see text]O (g)]. To facilitate ex situ characterization of the highly hygroscopic barium indate films, a capping layer of amorphous [Formula: see text] was deposited prior to air exposure. The structural quality of the films was assessed by x-ray diffraction, reflective high-energy electron diffraction, and scanning transmission electron microscopy. 
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  9. ; ; ; ; ; ; (, Microscopy and Microanalysis)
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  10. ; ; ; ; ; ; ; ; ; ; et al (, Nature)
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