most citedSemi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images

30 citations · 30 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2022★ 30 cited

Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images

Shizhao Lu, Brian Montz, Todd Emrick +1

In the field of materials science, microscopy is the first and often only accessible method for structural characterization. There is a growing interest in the development of machi…