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19 results

  • Intelligent and Automatic Parameter Optimization for High-resolution Electron Ptychography

  • Michael C. Cao, Zhen Chen, Yi Jiang, Yimo Han
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 3102-3103
    Print publication:
    August 2022
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  • Assisting 4D-STEM Data Processing with Unsupervised Machine Learning

  • Yimo Han, Chuqiao Shi, Michael Cao, Yi Jiang
  • Journal:
    / Volume 28 / Issue S1 / August 2022
    Published online by Cambridge University Press:
    22 July 2022, pp. 414-417
    Print publication:
    August 2022
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  • Rapid and Semi-Automated Analysis of 4D-STEM data via Unsupervised Learning

  • Chuqiao Shi, Michael Cao, David Muller, Yimo Han
  • Journal:
    / Volume 27 / Issue S1 / August 2021
    Published online by Cambridge University Press:
    30 July 2021, pp. 58-59
    Print publication:
    August 2021
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  • AirSEM: Electron Microscopy in Air, without a Specimen Chamber

  • David A. Muller, Kayla X. Nguyen, Yimo Han, Barnaby D. A. Levin, Megan E. Holtz
  • Journal:
    / Volume 24 / Issue S1 / August 2018
    Published online by Cambridge University Press:
    01 August 2018, pp. 342-343
    Print publication:
    August 2018
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  • Breaking Friedel’s Law in Polar Two Dimensional Materials

  • Pratiti Deb, Yimo Han, Saien Xie, Megan E. Holtz, Jiwoong Park, David A. Muller
  • Journal:
    / Volume 23 / Issue S1 / July 2017
    Published online by Cambridge University Press:
    04 August 2017, pp. 1738-1739
    Print publication:
    July 2017
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  • Characterization of Sulfur and Nanostructured Sulfur Battery Cathodes in Electron Microscopy Without Sublimation Artifacts

  • Barnaby D.A. Levin, Michael J. Zachman, Jörg G. Werner, Ritu Sahore, Kayla X. Nguyen, Yimo Han, Baoquan Xie, Lin Ma, Lynden A. Archer, Emmanuel P. Giannelis, Ulrich Wiesner, Lena F. Kourkoutis, David A. Muller
  • Journal:
    / Volume 23 / Issue 1 / February 2017
    Published online by Cambridge University Press:
    23 February 2017, pp. 155-162
    Print publication:
    February 2017

  • Lithium sulfur (Li–S) batteries have the potential to provide higher energy storage density at lower cost than conventional lithium ion batteries. A key challenge for Li–S batteries is the loss of sulfur to the electrolyte during cycling. This loss can be mitigated by sequestering the sulfur in nanostructured carbon–sulfur composites. The nanoscale characterization of the sulfur distribution within these complex nanostructured electrodes is normally performed by electron microscopy, but sulfur sublimates and redistributes in the high-vacuum conditions of conventional electron microscopes. The resulting sublimation artifacts render characterization of sulfur in conventional electron microscopes problematic and unreliable. Here, we demonstrate two techniques, cryogenic transmission electron microscopy (cryo-TEM) and scanning electron microscopy in air (airSEM), that enable the reliable characterization of sulfur across multiple length scales by suppressing sulfur sublimation. We use cryo-TEM and airSEM to examine carbon–sulfur composites synthesized for use as Li–S battery cathodes, noting several cases where the commonly employed sulfur melt infusion method is highly inefficient at infiltrating sulfur into porous carbon hosts.

  • Electron Microscopy in Air: Transparent Atomic Membranes and Imaging Modes

  • Yimo Han, Kayla Nguyen, Yui Ogawa, Hao Shi, Jiwoong Park, David A Muller
  • Journal:
    / Volume 21 / Issue S3 / August 2015
    Published online by Cambridge University Press:
    23 September 2015, pp. 1111-1112
    Print publication:
    August 2015
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