2022
DOI: 10.1038/s41524-022-00749-z
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Super-resolving microscopy images of Li-ion electrodes for fine-feature quantification using generative adversarial networks

Abstract: For a deeper understanding of the functional behavior of energy materials, it is necessary to investigate their microstructure, e.g., via imaging techniques like scanning electron microscopy (SEM). However, active materials are often heterogeneous, necessitating quantification of features over large volumes to achieve representativity which often requires reduced resolution for large fields of view. Cracks within Li-ion electrode particles are an example of fine features, representative quantification of which… Show more

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Cited by 12 publications
(10 citation statements)
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“…In each example, the image on the left shows the input, and the image on the right shows the output after the specified method was applied. In each case, the images were generated based on the approaches described in relevant studies: segmentation, generation, inpainting, style transfer, super-resolution, and dimensionality expansion …”
Section: Machine Learning Methods For Enabling Next-generation Materi...mentioning
confidence: 99%
“…In each example, the image on the left shows the input, and the image on the right shows the output after the specified method was applied. In each case, the images were generated based on the approaches described in relevant studies: segmentation, generation, inpainting, style transfer, super-resolution, and dimensionality expansion …”
Section: Machine Learning Methods For Enabling Next-generation Materi...mentioning
confidence: 99%
“…The authors recently established a technique to enhance the resolution of a large field of view SEM images for the quantification of crack properties with statistical significance. [93] X-ray computed tomography (CT) can also yield valuable information about mechanical-and sometimes chemomechanical-degradation in battery materials in concert with global electrochemical techniques. Producing a 3D reconstruction from tomographic images of cells, electrodes, parts of electrodes, or individual particles, X-ray CT is a non-destructive way to visualize macrostructure and microstructure on the exterior and interior of the sample from different angles.…”
Section: Primary and Secondary-particle Measurementsmentioning
confidence: 99%
“…The authors recently established a technique to enhance the resolution of a large field of view SEM images for the quantification of crack properties with statistical significance. [ 93 ]…”
Section: Diagnostic Analysis and Modeling Of Nmc Cathode Agingmentioning
confidence: 99%
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