For 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.
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Electron tomography technique leads to 3-D reconstructions at the nanoscale, National Energy Technology Laboratory experimenting with high-entropy alloys to increase energy efficiency, and other materials stories that may be of interest for June 6, 2018.
Read MoreHere is what we are hearing: Harper contracts with Orbite Aluminae for revolutionary high-purity alumina processing systems Harper International, world leader in thermal processing solutions for advanced materials, announced a…
Read MoreVolume 6 Issue 5, Pages 636 – 641 Limin Guo, Jianling Zhao, Xixin Wang, Xuewen Xu, Heye Liu, Yangxian LiPublished Online: Oct 29 2008 1:09PM DOI: 10.1111/j.1744-7402.2008.02305.x ABSTRACT Zirconia nanotube…
Read MoreVolume 7 Issue 1, Pages 30 – 40 Maria J. Santillán, Alberto Caneiro, Francisco C. Lovey, Nancy Quaranta, Aldo R. BoccacciniPublished Online: Jul 29 2009 3:55PM DOI: 10.1111/j.1744-7402.2009.02413.x ABSTRACT Carbon…
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