What if you could predict a material’s internal microstructure based solely on its external surface characteristics? A new deep learning method developed at Massachusetts Institute of Technology provides such a capability, and all data and codes used for the study are freely available for anyone to use through GitHub.
Read MoreFor researchers to improve the properties of carbon nanotubes grown en masse, they must first be able to measure and characterize how individual nanotubes are assembled within carbon nanotube “forests.” In a recent paper, researchers at the University of Missouri outlined a deep learning technique to segment these forests in scanning electron microscopy images.
Read MoreDesigning new oxide glass compositions can be an arduous process when relying on the “cook and look” approach. Researchers at the Indian Institute of Technology Delhi developed composition-property deep learning models for eight key oxide glass properties, and they made the software available publicly online.
Read MoreICACC organizers worked around havoc created by the federal shutdown to deliver a conference with excellent technical content, networking, and an expo.
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