SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR CHARACTERIZING MICROSPHERIC MATERIAL

    公开(公告)号:US20250014366A1

    公开(公告)日:2025-01-09

    申请号:US18577618

    申请日:2022-07-13

    Abstract: Methods, systems, and computer readable media are disclosed for characterizing the porosity of a microspheric material, training a classifier model for classifying spatially-contiguous image regions of backscatter electron scanning electron microscopy (BSE-SEM) images of a microspheric material according to the particle composition of the image regions, and characterizing the elemental composition of a microspheric material. The methods include: receiving image data representative of a microscopic images of a sample microspheric material; segmenting the image data into a plurality of spatially-contiguous image regions; classifying, by a trained machine-learning model, each of the plurality of spatially-contiguous image regions; and characterizing the microspheric material. The disclosure also relates to compositions for use as an FCC catalyst comprising microspheres which comprise alumina and/or clay and/or a zeolite.

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