Publications by authors named "B H Soudmand"
Article Synopsis
- * This study created an automated method using deep learning and image processing to accurately identify and map nanoparticles in scanning electron microscopy images.
- * By introducing dispersion factors like size uniformity and supercritical clustering, the research correlates particle dispersion with the strength and thickness of nanocomposites, showcasing the value of combining deep learning with structural analysis.
This study focused on an innovative practical method using computer vision for particle size measurement, which serves as a key precursor for predicting the elastic modulus of polymer nanocomposites. This approach involved the morphological segmentation of the nanodispersed phase. It aimed, for the first time, to address the impractical conditions resulting from the assumption of idealized single-particle sizes in a monodispersed system during modeling.
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